RankingEffort benchmarks
Gemini 3 Flash Preview effort benchmarks
Compare measured Low, Medium, High and other settings. Every number keeps its source.
Gemini 3 Flash Preview
56 measured results · 7 reported effort labels · 36 benchmark/harness combinations. Model evidence and sources →
Capability score evidence
Gemini 3 Flash Preview · Reasoning: 30.5 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 | 34.6 | +4.1 |
| Datacurve | 27.5 | -3.0 |
| LiveCodeBench | 30.4 | -0.2 |
| Scale | 32.2 | +1.6 |
| Terminal-Bench | 30.7 | +0.1 |
| Cognition | 31.5 | +1.0 |
| LiveBench | 30.8 | +0.3 |
| SWE-rebench | 31.1 | +0.6 |
| Epoch AI | 30.3 | -0.2 |
| Vals AI | 29.9 | -0.6 |
| Provider reports · Anthropic | 30.5 | +0.0 |
| Provider reports · Moonshot AI | 30.5 | -0.0 |
| Provider reports · Meta | 30.5 | -0.0 |
| Provider reports · Mistral | 30.5 | +0.0 |
| All provider reports | 30.5 | -0.1 |
Every benchmark family
| Removed evidence | Recomputed score | Change |
|---|---|---|
| arc-agi | 34.5 | +3.9 |
| deepswe | 27.5 | -3.0 |
| tau-bench | 32.5 | +2.0 |
| omniscience | 29.3 | -1.2 |
| frontiercode | 31.5 | +1.0 |
| epoch-game-puzzles | 29.6 | -0.9 |
| ifbench | 29.8 | -0.7 |
| simpleqa | 31.2 | +0.7 |
| terminal-bench | 31.2 | +0.7 |
| apex-agents | 29.9 | -0.7 |
| hle | 31.2 | +0.6 |
| gpqa | 29.9 | -0.6 |
| swe-rebench | 31.1 | +0.6 |
| mmlu-pro | 31.1 | +0.6 |
| mmmu-pro | 31.1 | +0.5 |
| gmmlu | 30.2 | -0.4 |
| scicode | 30.9 | +0.4 |
| multi-swe-bench | 30.3 | -0.3 |
| gdp-pdf | 30.8 | +0.3 |
| livebench-instructions | 30.8 | +0.2 |
| frontiermath | 30.8 | +0.2 |
| livebench-language | 30.8 | +0.2 |
| swe-atlas-qna | 30.4 | -0.2 |
| gdpval | 30.7 | +0.2 |
| arc-agi-3 | 30.4 | -0.2 |
| harvey | 30.4 | -0.2 |
| aime | 30.7 | +0.1 |
| aa-lcr | 30.7 | +0.1 |
| livebench-coding | 30.4 | -0.1 |
| vibe-code | 30.4 | -0.1 |
| livebench-reasoning | 30.4 | -0.1 |
| swe-atlas-test-writing | 30.5 | -0.1 |
| vals-finance-agent | 30.5 | -0.1 |
| math500 | 30.5 | -0.1 |
| vals-legal-research | 30.5 | -0.1 |
| analyst-agent | 30.6 | +0.1 |
| vals-code-migration | 30.5 | -0.1 |
| livecodebench | 30.5 | -0.0 |
| swe-atlas-refactoring | 30.5 | -0.0 |
| enterprise-ops | 30.6 | +0.0 |
| critpt | 30.5 | -0.0 |
| livebench-math | 30.6 | +0.0 |
| itbench | 30.6 | +0.0 |
| livebench-data | 30.6 | +0.0 |
| vals-excel-modeling | 30.5 | -0.0 |
| briefcase | 30.6 | +0.0 |
| enigma-eval | 30.5 | -0.0 |
| swe-bench-pro | 30.6 | +0.0 |
| automationbench | 30.5 | -0.0 |
What evidence is missing from the fit?
Across all collected settings for this model: 58 observations, 49 contributing, 0 matched without graph weight and 9 excluded. Counts do not establish rank eligibility.
- 2 · Benchmark family or source protocol has not been reviewed
- 5 · Effort is not identified
- 2 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
Capability profile
One configuration, seven capabilities
- AGemini 3 Flash Preview · Reasoning4 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
A24.7SupportedHard reasoning
A35.7SupportedCoding
A26.8SupportedHuman pref
UnknownKnowledge
A45.7SupportedMultimodal
A43.9PreliminaryLong context
A37.0Preliminary
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 | Minimal | Low | Medium | High | Reasoning | Non-reasoning | Unspecified |
|---|---|---|---|---|---|---|---|
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 | 97% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 55.67% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | Not reported |
APEX-Agents-AABenchmark 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 | 27.73% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | Not reported | 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 | 78% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 55.33% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 8.57% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 1.43% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 91.44% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 92.75% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 89.8% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 81.21% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 36.56% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 14.97% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 77.96% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 55.1% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 90.79% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 79.68% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 11.11% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 11.67% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 89.03% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 88.22% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 79.94% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 78.55% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 10.13 Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | -4.32 Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 53.43% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 45.78% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 80.41% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 43.27% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | 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 | 20.82% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-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 | 38.64% Reported settingsGemini 3 Flash Preview (Reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash-reasoning | 31.82% Reported settingsGemini 3 Flash Preview (Non-reasoning); Model source: https://artificialanalysis.ai/models/gemini-3-flash | Not reported |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12. | 3.33% Reported settingsGemini 3 Flash Preview (Minimal); Source model ID: gemini-3-flash-preview-thinking-minimal; 120 tasks | 1.25% Reported settingsGemini 3 Flash Preview (Low); Source model ID: gemini-3-flash-preview-thinking-low; 120 tasks | 12.78% Reported settingsGemini 3 Flash Preview (Medium); Source model ID: gemini-3-flash-preview-thinking-medium; 120 tasks | 33.61% Reported settingsGemini 3 Flash Preview (High); Source model ID: gemini-3-flash-preview-thinking-high; 120 tasks | Not reported | Not reported | Not reported |
Epoch · Chess Puzzles · 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 | 38% Reported settingsEpoch AI Inspect; task 1.0.0; scorer model_extracted_exact_match; model=gemini-3-flash-preview; run=ZMRExFd2WEEwTRSQPLXXwu; mean accuracy; https://epoch.ai/data/benchmarks.csv |
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 | 40% Reported settingsEpoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gemini-3-flash-preview_high; run=HVtbACyemDaTPW5XUDC6Jf; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Epoch · FrontierMath Tier 4 · v2.0.0Benchmark 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. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 17.07% Reported settingsEpoch AI Inspect; task 2.0.0; scorer verification_code; model=gemini-3-flash-preview; run=ZczEhu69FQ9Cnns8NT6ew4; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · FrontierMath Tiers 1–3 · v2.0.0Benchmark 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. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation. Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | 51.23% Reported settingsEpoch AI Inspect; task 2.0.0; scorer verification_code; model=gemini-3-flash-preview; run=EtgrDq6ei6kZe8K7QbXUe3; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · GPQA diamond · v1.0.11Benchmark 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 | 89.39% Reported settingsEpoch AI Inspect; task 1.0.11; scorer choice; model=gemini-3-flash-preview_high; run=gVdraDT3pXmaExP9VbqME4; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Epoch · GPQA diamond · v1.0.3Benchmark 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 | 83.21% Reported settingsEpoch AI Inspect; task 1.0.3; scorer choice; model=gemini-3-flash-preview; run=oAu9CZSNPZgwiwKnoNpM8Q; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · Mystery Game Puzzles · v1.0.4 · Exact moveBenchmark 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. | 25% Reported settingsEpoch AI Inspect; task 1.0.4; scorer exact_match_next_move_scorer; model=gemini-3-flash-preview_minimal; run=njpkLAWZTvept6tnkraYrR; mean accuracy; https://epoch.ai/data/benchmarks.csv | 26% Reported settingsEpoch AI Inspect; task 1.0.4; scorer exact_match_next_move_scorer; model=gemini-3-flash-preview_low; run=ZQMcTQjHcDSevCN2dYYHKY; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | 20% Reported settingsEpoch AI Inspect; task 1.0.4; scorer exact_match_next_move_scorer; model=gemini-3-flash-preview_high; run=MvdunHkVURna3JuyDjhzEc; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
Epoch · OTIS Mock AIME 2024-2025 · v1.0.3Benchmark 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 | 92.78% Reported settingsEpoch AI Inspect; task 1.0.3; scorer model_extracted_exact_match; model=gemini-3-flash-preview; run=H3E7EjjXfGCPnm9ooLdmAo; mean accuracy; https://epoch.ai/data/benchmarks.csv |
Epoch · OTIS Mock AIME 2024-2025 · 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 | 95.56% Reported settingsEpoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=gemini-3-flash-preview_high; run=a4uE6KgMhGSUjcnemRnbkA; mean accuracy; https://epoch.ai/data/benchmarks.csv | Not reported | Not reported | Not reported |
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 | 66.8% Reported settingsEpoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=gemini-3-flash-preview_high; run=7cc6cDCXjsPjtKt36bbeMR; 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 | 42.55% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 6.39% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 18.27% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 26.02% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 88.59% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-01","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 53.93% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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 | 20.2% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":"OpenHands"} | Not reported | Not reported | Not reported |
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 | 0% Reported settings{"checkpoint":"gemini-3-flash-preview","evaluatorModel":"google/gemini-3-flash-preview","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":1,"top_p":null,"max_output_tokens":65536,"verbosity":null,"provider":"Google","harness":null} | Not reported | Not reported | Not reported |
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