RankingEffort benchmarks
Claude Haiku 4.5 effort benchmarks
Compare measured Low, Medium, High and other settings. Every number keeps its source.
Claude Haiku 4.5
59 measured results · 7 reported effort labels · 41 benchmark/harness combinations. Model evidence and sources →
Capability score evidence
Claude Haiku 4.5 · Reasoning: 7.5 overall comparison score. Meets the overall evidence requirements.
Which sources carry the weight?
- Artificial Analysis · 100.0% direct comparison weight · independent
These shares describe the comparisons entering the fit, not fractions of the final score.
How sensitive is this score?
Remove one evaluator or family and refit the graph against the same overall panel. Values use the matching dataset audited 2026-09-12. These are sensitivity checks, not confidence intervals; ranking eligibility may also change.
| Removed evidence | Recomputed score | Change |
|---|---|---|
| Artificial Analysis | Comparison path lost | — |
| ARC Prize | 8.9 | +1.4 |
| Datacurve | 6.4 | -1.1 |
| LiveCodeBench | 7.5 | -0.1 |
| Scale | 8.3 | +0.8 |
| Terminal-Bench | 7.5 | -0.0 |
| Cognition | 7.9 | +0.3 |
| LiveBench | 7.7 | +0.2 |
| SWE-rebench | 7.7 | +0.2 |
| Epoch AI | 7.7 | +0.1 |
| Vals AI | 7.3 | -0.2 |
| Provider reports · Anthropic | 7.5 | +0.0 |
| Provider reports · Moonshot AI | 7.5 | -0.0 |
| Provider reports · Meta | 7.5 | -0.0 |
| Provider reports · Mistral | 7.5 | +0.0 |
| All provider reports | 7.5 | -0.0 |
Every benchmark family
| Removed evidence | Recomputed score | Change |
|---|---|---|
| arc-agi | 8.9 | +1.3 |
| deepswe | 6.4 | -1.1 |
| mmmu-pro | 8.3 | +0.8 |
| mmlu-pro | 8.2 | +0.6 |
| critpt | 8.0 | +0.4 |
| hle | 8.0 | +0.4 |
| aa-lcr | 7.2 | -0.4 |
| frontiercode | 7.9 | +0.3 |
| epoch-game-puzzles | 7.2 | -0.3 |
| ifbench | 7.2 | -0.3 |
| simpleqa | 7.8 | +0.3 |
| analyst-agent | 7.3 | -0.2 |
| swe-rebench | 7.7 | +0.2 |
| aime | 7.4 | -0.2 |
| briefcase | 7.4 | -0.2 |
| livecodebench | 7.7 | +0.1 |
| multi-swe-bench | 7.4 | -0.1 |
| livebench-instructions | 7.7 | +0.1 |
| gdpval | 7.4 | -0.1 |
| gpqa | 7.7 | +0.1 |
| tau-bench | 7.5 | -0.1 |
| harvey | 7.5 | -0.1 |
| apex-agents | 7.6 | +0.1 |
| enterprise-ops | 7.5 | -0.1 |
| livebench-language | 7.6 | +0.1 |
| itbench | 7.5 | -0.1 |
| terminal-bench | 7.5 | -0.1 |
| swe-atlas-qna | 7.5 | -0.1 |
| gdp-pdf | 7.6 | +0.1 |
| frontiermath | 7.6 | +0.1 |
| livebench-coding | 7.5 | -0.1 |
| gmmlu | 7.5 | -0.1 |
| arc-agi-3 | 7.5 | -0.1 |
| vibe-code | 7.5 | -0.0 |
| livebench-reasoning | 7.5 | -0.0 |
| vals-finance-agent | 7.5 | -0.0 |
| automationbench | 7.5 | -0.0 |
| vals-legal-research | 7.5 | -0.0 |
| swe-atlas-test-writing | 7.5 | -0.0 |
| vals-code-migration | 7.5 | -0.0 |
| scicode | 7.5 | -0.0 |
| livebench-data | 7.6 | +0.0 |
| livebench-math | 7.6 | +0.0 |
| vals-excel-modeling | 7.5 | -0.0 |
| swe-atlas-refactoring | 7.5 | -0.0 |
| enigma-eval | 7.6 | +0.0 |
| math500 | 7.6 | +0.0 |
| omniscience | 7.6 | +0.0 |
| swe-bench-pro | 7.6 | +0.0 |
What evidence is missing from the fit?
Across all collected settings for this model: 77 observations, 47 contributing, 0 matched without graph weight and 30 excluded. Counts do not establish rank eligibility.
- 2 · Benchmark family or source protocol has not been reviewed
- 10 · Effort is not identified
- 12 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
- 6 · Supporting evidence outside the reviewed capability core
Capability profile
One configuration, seven capabilities
- AClaude Haiku 4.5 · Reasoning4 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
A12.7SupportedHard reasoning
A6.0SupportedCoding
A8.3SupportedHuman pref
UnknownKnowledge
A7.7SupportedMultimodal
A3.9PreliminaryLong context
A25.3Preliminary
Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.
Compare this configuration →Explore the model evidence profile →
| Benchmark / source | Thinking 1K | Thinking 8K | Thinking 16K | Thinking 32K | Reasoning | Non-reasoning | Unspecified |
|---|---|---|---|---|---|---|---|
AA-AnalystAgentBenchmark detailsShare of tasks solved on all 5 of 5 attempts · 80 tasks, 5 attempts per task · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 15% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
AA-Briefcase EloBenchmark detailsAA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 614.13 Elo Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
AIME 2025Benchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 83.67% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 39% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
AA-LCR v1.1Benchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 74.33% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 49.67% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
AutomationBench-AABenchmark detailsShare of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 3.25% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
CritPtBenchmark detailsBenchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 0% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 0% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
EnterpriseOps-Gym-AABenchmark detailsOverall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 29.39% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
GDP.pdf: All-passBenchmark detailsShare of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 3.8% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
GDPval-AA v2 LeaderboardBenchmark detailsElo rating for performance on real-world work tasks · Anchored to a human baseline of 1,000 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 854.45 Elo Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
Global-MMLU-LiteBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 83.41% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
GPQA DiamondBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 67.17% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 64.65% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
Harvey LAB-AA: Criterion Pass RateBenchmark detailsShare of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 61.05% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
Humanity's Last ExamBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 10.38% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 4.22% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
IFBenchBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 54.29% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 42.04% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
ITBench-AABenchmark detailsCombined public and private Site Reliability Engineering (SRE) tasks · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 27.31% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
LiveCodeBenchBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 61.48% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 51.11% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
MLCR-AABenchmark detailsShare of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 6.11% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 4.44% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
MMLU-ProBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 75.99% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 80.01% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
MMMU-ProBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 58.55% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 55.14% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
AA-Omniscience IndexBenchmark detailsAA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis Unit: index. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | -4.37 Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | -7.57 Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
AA-Omniscience AccuracyBenchmark detailsAA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 18.02% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 14.43% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
SciCodeBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 42.25% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
𝜏²-Bench TelecomBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 54.68% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 32.46% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
𝜏³-BankingBenchmark detailsBenchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 9.28% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
Terminal-Bench HardBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 27.27% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | 27.27% Reported settingsClaude 4.5 Haiku (Non-reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku | Not reported |
Terminal-Bench v2.1Benchmark detailsBenchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 44.19% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
Terminal-Bench v4.0Benchmark detailsBenchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | 0% Reported settingsClaude 4.5 Haiku (Reasoning); Model source: https://artificialanalysis.ai/models/claude-4-5-haiku-reasoning | Not reported | Not reported |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12. | 1.25% Reported settingsClaude Haiku 4.5 (Thinking 1K); Source model ID: claude-haiku-4-5-20251001-thinking-1k; 120 tasks | 1.67% Reported settingsClaude Haiku 4.5 (Thinking 8K); Source model ID: claude-haiku-4-5-20251001-thinking-8k; 120 tasks | 2.78% Reported settingsClaude Haiku 4.5 (Thinking 16K); Source model ID: claude-haiku-4-5-20251001-thinking-16k; 120 tasks | 4.03% Reported settingsClaude Haiku 4.5 (Thinking 32K); Source model ID: claude-haiku-4-5-20251001-thinking-32k; 120 tasks | Not reported | Not reported | Not reported |
Epoch · Chess Puzzles · v1.1.6Benchmark detailsEpoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 8% Reported settingsEpoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=claude-haiku-4-5-20251001_32K; run=QUuykbQhKapHn3gjLFjTam; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Epoch · GPQA diamond · v1.0.0Benchmark detailsEpoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 71.21% Reported settingsEpoch AI Inspect; task 1.0.0; scorer choice; model=claude-haiku-4-5-20251001_32K; run=GEaAdb9UmoUFbEtBx7WzAR; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | 60.48% Reported settingsEpoch AI Inspect; task 1.0.0; scorer choice; model=claude-haiku-4-5-20251001; run=cgnopvpB6mzsfb9yGnYK2z; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · OTIS Mock AIME 2024-2025 · v1.0.0Benchmark detailsEpoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 66.67% Reported settingsEpoch AI Inspect; task 1.0.0; scorer model_extracted_exact_match; model=claude-haiku-4-5-20251001_32K; run=neZvEzLi6yeL9z5KjGef7H; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Epoch · SimpleQA Verified · v1.0.0Benchmark detailsEpoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 13.2% Reported settingsEpoch AI Inspect; task 1.0.0; scorer simpleqa_scorer; model=claude-haiku-4-5-20251001; run=J2kUEjR9r6Spd594qDNTTf; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · SimpleQA Verified · v1.2.0Benchmark detailsEpoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 12.6% Reported settingsEpoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=claude-haiku-4-5-20251001_32K; run=VhBM9HgJ2RuSVwXriRXMVJ; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Vals AI · Finance Agent v2Benchmark detailsOverall weighted rubric accuracy, averaged over three runs on 450 tasks. Dealbreaker failures and timeouts score zero. Related categories and all-pass scores are not additional votes. Three-model judge panel; private test set. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 31.01% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Code Migration v1Benchmark detailsHidden behavior-test pass rate, equally weighted across 40 repositories (30 CLI and 10 COBOL-to-Java). Anti-cheat failures score zero. Code-quality ratings and language splits are not additional votes. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 7.55% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Legal Research Bench v1Benchmark detailsAll-pass accuracy on 208 private legal research tasks. Every expert rubric check must pass; GPT-5.4 judges responses. Partial-credit scores and practice-area splits are not additional votes. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 10.58% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Excel Modeling Benchmark v1Benchmark detailsMean of seven equally weighted task categories. Template submissions use recalculated Excel cell accuracy; scratch submissions use rubric checks judged by GPT-5.4 Mini XHigh. Partial credit does not mean task completion. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 22.66% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · MMLU-Pro v1Benchmark detailsMean accuracy across 14 subjects under Vals five-shot prompting. Subject splits share one family and are not additional votes. Vals labels this benchmark archived; it is historical corroboration, not ongoing frontier evaluation. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 78.72% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-01","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Terminal-Bench 2.1Benchmark detailsOverall task pass rate under the shared Terminus 2 configuration. All task tests must pass. Difficulty splits share one family. Fable 5 and Opus 5 mixed-checkpoint fallback runs are excluded. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 43.82% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
Vals AI · Vibe Code Bench v1.1Benchmark detailsMean app test pass rate on the canonical v1.1 test set. Browser Use executes workflow tests; each test requires at least 90% of its substeps. Automated judging can introduce error. Alternate agents are excluded. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 11.39% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":"OpenHands"} |
Vals AI · Harvey Legal Agent Benchmark v1Benchmark detailsMean task resolution across two judges (GPT-5.5 Medium and Sonnet 4.6), requiring every criterion to pass. Criteria pass rates and practice-area splits do not add votes. Shared Harvey family; Fable 5 fallback run excluded. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 0.83% Reported settings{"checkpoint":"claude-haiku-4-5-20251001","evaluatorModel":"anthropic/claude-haiku-4-5-20251001-thinking","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":64000,"verbosity":null,"provider":"Anthropic","harness":null} |
What these comparisons mean
Each source reports its own effort labels. Matching labels do not establish equal compute budgets or identical fallback behavior. Open Reported settings to inspect the exact model name, agent and task coverage. Multiple results at one level remain visible rather than selecting the best. Source-reported None or Non-reasoning labels are not treated as evidence that an API supports those settings.
These measurements use their own dated source collection. The leaderboard fits identified configurations jointly; it contains no pooled model ratings. Explicit thinking budgets are separate configurations. Read the methodology.
Download all effort benchmark results · 7,424 results across 240 models · Collected 2026-09-12