RankingEffort benchmarks

Grok-4.20-0309-reasoning effort benchmarks

Compare measured Low, Medium, High and other settings. Every number keeps its source.

Model

Grok-4.20-0309-reasoning

14 measured results · 1 reported effort labels · 14 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

Grok-4.20-0309-reasoning · Unspecified: No connected estimate. No admitted path to the complete configuration reference panel

Which sources carry the weight?

These shares describe the comparisons entering the fit, not fractions of the final score.

This configuration did not qualify for the dated stability audit.

What evidence is missing from the fit?

Across all collected settings for this model: 14 observations, 0 contributing, 0 matched without graph weight and 14 excluded. Counts do not establish rank eligibility.

14 · Effort is not identified

Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGrok-4.20-0309-reasoning · Unspecified0 of 7 capabilities supported

Gaps are unknown, not zero. Hollow points are preliminary.

Agentic
Unknown
Hard reasoning
Unknown
Coding
Unknown
Human pref
Unknown
Knowledge
Unknown
Multimodal
Unknown
Long context
Unknown

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 →

These are published benchmark scores. Supported effort estimates also appear on the Capability leaderboard. Results from different harnesses occupy different rows. Missing cells stay unknown; no scores are copied between effort levels.

Benchmark / source	Unspecified
Epoch · Chess Puzzles · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch 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.	24% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=grok-4.20-0309-reasoning; run=DMei2tkTbCqecGNjYCYYoW; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · FrontierMath Tier 4 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code Benchmark details Epoch 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.	17.07% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=grok-4.20-0309-reasoning; run=SX5FCWMk3HF83gGsP3WFA6; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · FrontierMath Tiers 1–3 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code Benchmark details Epoch 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.	44.91% Reported settings Epoch AI Inspect; task 2.0.0; scorer verification_code; model=grok-4.20-0309-reasoning; run=FLDt53waLTeshC7PK9uVy2; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · GPQA diamond · v1.0.11Epoch AI · Epoch AI Inspect; task 1.0.11; scorer choice Benchmark details Epoch 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.	89.33% Reported settings Epoch AI Inspect; task 1.0.11; scorer choice; model=grok-4.20-0309-reasoning; run=STxFZiSPAPScUuENvXBWLc; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · OTIS Mock AIME 2024-2025 · v1.1.6Epoch AI · Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match Benchmark details Epoch 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.	92.22% Reported settings Epoch AI Inspect; task 1.1.6; scorer model_extracted_exact_match; model=grok-4.20-0309-reasoning; run=mM6vdJpgjLY9prnetXzZJS; mean accuracy; https://epoch.ai/data/benchmarks.csv
Epoch · SimpleQA Verified · v1.2.0Epoch AI · Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer Benchmark details Epoch 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.	30.2% Reported settings Epoch AI Inspect; task 1.2.0; scorer simpleqa_scorer; model=grok-4.20-0309-reasoning; run=GVm7khGvtdnQKGfkgAHD8q; mean accuracy; https://epoch.ai/data/benchmarks.csv
Vals AI · Finance Agent v2Vals AI · Vals FAB v2 shared six-tool harness; two-hour task limit Benchmark details Overall 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.	28.49% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · Code Migration v1Vals AI · Vals Code Migration shared agent harness Benchmark details Hidden 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.	0.31% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · Legal Research Bench v1Vals AI · Vals Legal Research shared five-tool harness; three-hour task limit Benchmark details All-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.	13.94% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · Excel Modeling Benchmark v1Vals AI · Vals EMB shared workbook agent harness; 3.5-hour task limit Benchmark details Mean 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.	11.74% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · MMLU-Pro v1Vals AI · Vals MMLU-Pro five-shot chain-of-thought; regex answer grading Benchmark details Mean 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.	86.25% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-01","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · Terminal-Bench 2.1Vals AI · Vals Terminus 2 harness; pass@1 on 89 tasks Benchmark details Overall 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.	44.2% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":null}
Vals AI · Vibe Code Bench v1.1Vals AI · Vals modified OpenHands harness; five hours or 1,000 turns per app Benchmark details Mean 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.	4.06% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","harness":"OpenHands"}
Vals AI · Harvey Legal Agent Benchmark v1Vals AI · Vals Harvey held-out legal file-work protocol; internet disabled Benchmark details Mean 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.	0% Reported settings {"checkpoint":"grok-4.20-0309-reasoning","evaluatorModel":"grok/grok-4.20-0309-reasoning","sourceUpdatedOn":"2026-09-10","reasoning_effort":null,"compute_effort":null,"reasoning":null,"temperature":0.7,"top_p":0.95,"max_output_tokens":2000000,"verbosity":null,"provider":"SpaceXAI","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

Grok-4.20-0309-reasoning effort benchmarks