RankingEffort benchmarks

Grok 4.7 · XHigh

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97 measured results · 5 effort settings · 61 benchmark/harness combinations

Model evidence and sources →

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Choose a second model and its effort to see both profiles and benchmark differences below.

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Capability profile

One configuration, seven capabilities

Comparison score · 0–100

AGrok 4.7 · XHigh4 of 7 capabilities supported

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

Agentic
A61.8Supported
Hard reasoning
A49.8Supported
Coding
A67.6Supported
Human pref
Unknown
Knowledge
A47.9Supported
Multimodal
Unknown
Long context
A39.4Preliminary

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.

Capability score evidence

Grok 4.7 · XHigh: 61.8 overall comparison score. Meets the overall evidence requirements.

5 areas measured. The available task mix affects this estimate; missing areas remain unknown.

Shared-result disagreement. This aggregate order conflicts with matched benchmark results against 1 other configurations. Different test coverage and opponents affect the fit. Inspect published results before treating the rank as conclusive.

Which sources carry the weight?

Cognition · 18.4% direct comparison weight · independent of the model provider
ARC Prize · 17.7% direct comparison weight · independent of the model provider
LiveBench · 16.7% direct comparison weight · independent of the model provider
Vals AI · 16.5% direct comparison weight · independent of the model provider
Artificial Analysis · 16.0% direct comparison weight · independent of the model provider
Terminal-Bench · 14.8% direct comparison weight · independent of the model provider

Which benchmark families carry the weight?

FrontierCode · 18.4% direct comparison weight
Terminal-Bench · 17.7% direct comparison weight
ARC-AGI · 9.1% direct comparison weight
arc-agi-3 · 8.6% direct comparison weight
harvey · 3.4% direct comparison weight
Other families (24) · 42.9% direct comparison weight

These shares describe direct comparison weight, not fractions of the final score or confidence. Source balancing does not give every family equal weight or remove correlations between overlapping sources.

How sensitive is this score?

The audit removes one source at a time and refits against the same overall reference panel. These published results use the matching dataset audited 2026-10-20.

Both ranks use the same surviving configurations for each removal. The cohort starts with 444 configurations supported in the original audit, including separate effort settings. These are diagnostic positions, not the default leaderboard ranks. Eligibility is not rechecked after removal.

What changes when a source is removed?
Removed source	Rank before → after	Rank movement	Cohort remaining / lost support	Score after (change)
Artificial Analysis	49 → 53	Down 4	203 remaining / 241 lost	61.3 (-0.5 points)
ARC Prize	49 → 49	No movement	444 remaining / 0 lost	68.1 (+6.3 points)
Datacurve	49 → 48	Up 1	444 remaining / 0 lost	57.9 (-3.9 points)
LiveCodeBench	49 → 49	No movement	444 remaining / 0 lost	61.8 (-0.0 points)
Scale	49 → 49	No movement	444 remaining / 0 lost	63.0 (+1.2 points)
Terminal-Bench	49 → 64	Down 15	444 remaining / 0 lost	54.6 (-7.2 points)
Cognition	49 → 42	Up 7	444 remaining / 0 lost	62.7 (+0.8 points)
LiveBench	49 → 46	Up 3	443 remaining / 1 lost	65.5 (+3.7 points)
SWE-rebench	49 → 49	No movement	444 remaining / 0 lost	61.4 (-0.4 points)
Epoch AI	49 → 50	Down 1	431 remaining / 13 lost	63.0 (+1.2 points)
Vals AI	49 → 50	Down 1	443 remaining / 1 lost	59.6 (-2.2 points)
Provider reports · Anthropic	49 → 49	No movement	444 remaining / 0 lost	61.8 (-0.0 points)
Provider reports · Moonshot AI	49 → 49	No movement	444 remaining / 0 lost	61.4 (-0.4 points)
Provider reports · Meta	49 → 49	No movement	444 remaining / 0 lost	61.7 (-0.1 points)
Provider reports · Mistral	49 → 49	No movement	444 remaining / 0 lost	61.8 (+0.0 points)
Provider reports · OpenAI	49 → 50	Down 1	444 remaining / 0 lost	61.8 (+0.0 points)
All provider reports	49 → 50	Down 1	444 remaining / 0 lost	61.3 (-0.5 points)

Lost support means a configuration no longer has a comparison path to the complete reference panel. Its rank is unavailable. A surviving path alone does not establish leaderboard eligibility.

Overlapping sources may remain correlated even with source balancing. Leave-one-source-out movement is a sensitivity diagnostic, not a spread of source-specific ranks or a confidence measure. Scoring methodology · Dated configuration audit

Every benchmark family

Removed evidence	Recomputed score	Change
terminal-bench	55.2	-6.6
arc-agi	67.3	+5.5
deepswe	57.9	-3.9
harvey	60.6	-1.3
arc-agi-3	60.8	-1.0
mmmu-pro	62.7	+0.9
frontiercode	62.7	+0.8
vals-finance-agent	62.6	+0.7
hle	62.5	+0.7
simpleqa	62.5	+0.7
livebench-instructions	61.2	-0.6
livebench-math	61.2	-0.6
livebench-language	62.4	+0.6
livebench-reasoning	62.4	+0.5
aa-lcr	62.3	+0.5
multi-swe-bench	61.3	-0.5
vibe-code	61.3	-0.5
terminal-bench-science	62.3	+0.4
gpqa	61.4	-0.4
swe-rebench	61.4	-0.4
epoch-game-puzzles	61.4	-0.4
livebench-coding	62.2	+0.4
vals-legal-research	61.4	-0.4
omniscience	62.2	+0.4
automationbench	61.4	-0.4
briefcase	61.5	-0.4
mmlu-pro	62.1	+0.3
ifbench	61.5	-0.3
gdpval	61.6	-0.3
swe-atlas-qna	61.6	-0.2
gdp-pdf	62.1	+0.2
vals-excel-modeling	62.1	+0.2
tau-bench	61.6	-0.2
critpt	62.1	+0.2
vals-tax-agent	61.6	-0.2
swe-atlas-test-writing	61.6	-0.2
itbench	62.0	+0.2
analyst-agent	61.6	-0.2
livebench-data	62.0	+0.2
aime	61.7	-0.1
apex-agents	61.9	+0.1
vals-code-migration	61.8	-0.1
enigma-eval	61.8	-0.1
frontiermath	61.9	+0.0
swe-atlas-refactoring	61.8	-0.0
swe-bench-pro	61.8	+0.0
livecodebench	61.8	-0.0
gmmlu	61.8	+0.0
enterprise-ops	61.8	-0.0
math500	61.8	+0.0

What evidence is missing from the fit?

Across all collected settings for this model: 114 observations, 84 contributing, 0 matched without graph weight and 30 excluded. Counts do not establish rank eligibility.

4 · Benchmark family or source protocol has not been reviewed
3 · Original SciCode grading defects are under review; retained as supporting evidence, excluded from aggregate and capability scores. Corrected SciCode-Verified requires a separate protocol review. Sources: https://arxiv.org/abs/2608.04975 and https://artificialanalysis.ai/evaluations/scicode
5 · Evaluator has not been reviewed for independent admission
1 · Effort is not identified
5 · The launch table does not establish matching agent harnesses and evaluation settings. Retained as a provider claim; not a new comparable evaluation.
1 · Secondary Artificial Analysis leaderboard report; not an additional independent evaluation. Use the original evaluator for reviewed exact-configuration comparisons.
1 · Secondary Harvey leaderboard report; not an additional independent evaluation. Use the original Vals AI evaluation with its reviewed effort settings.
1 · Secondary Artificial Analysis leaderboard report; retain the original evaluator once, without treating the launch reprint as additional evidence.
7 · Supporting evidence outside the reviewed capability core
2 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately

Inspect every observation and exclusion →

Benchmark results

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	Low	Medium	High	XHigh	Unspecified
AA-AnalystAgentArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share 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 2026-10-18.	Not reported	Not reported	55% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	52.5% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-Briefcase v1.1 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 2026-10-18.	1,498.6 Elo Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	1,632.79 Elo Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	1,641.75 Elo Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	80% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	77% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	76.67% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share 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 2026-10-18.	56.74% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	63.52% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	65.56% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally. CritPt is under review by its authors following external feedback · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	13.43% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	18% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	17.71% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
GDP.pdf: All-pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	21.4% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	23.2% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	20% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
GDPval-AA v2.1 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Elo rating for performance on real-world work tasks · Anchored to DeepSeek V4.1 Flash (max) at 1600 · Higher is better · Evaluation results measured independently by Artificial Analysis Unit: elo. Source collected 2026-10-18.	1,588.11 Elo Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	1,706.28 Elo Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	1,711.07 Elo Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
Harvey LAB-AA v1.1: Hallucination-Gated All-Pass RateArtificial Analysis · Stirrup; Harvey private dataset v1.1.0; 120 tasks across 24 practice areas; up to 200 turns; internet disabled; GPT-6 Sol, Grok 4.7 and Claude Opus 5.5 rubric judges; GPT-6 Sol High two-pass hallucination check; hallucination-gated all-pass averaged across judges Benchmark details Average over tasks of the share of the judge panel finding every rubric criterion passed, with a task zeroed on any material hallucination · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	9.44% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	39.16% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	42.31% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	43.14% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
ITBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Combined public and private Site Reliability Engineering (SRE) tasks · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	42.08% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Share 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 2026-10-18.	Not reported	Not reported	Not reported	15% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
MMMU-ProArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	78.15% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	Not reported	Not reported	Not reported
AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details AA-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 2026-10-18.	29.62 Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	30.9 Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	32.03 Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader Benchmark details AA-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 2026-10-18.	49.7% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	47.82% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	47.45% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings Benchmark details Benchmark curated by scientists across 16 disciplines. SciCode is under review following an independent audit of the dataset · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	54.86% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	57.75% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	57.41% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
Terminal-Bench-Science 0.1Artificial Analysis · mini-swe-agent; Terminal-Bench-Science 0.1.0; 70 tasks; pass@1 averaged over 3 repeats Benchmark details Share of tasks passed (pass@1), averaged over three repeats · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18.	4.76% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	9.52% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	4.76% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours Benchmark details Benchmark 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 2026-10-18.	16.16% Reported settings Grok 4.7 (Low); Model source: https://artificialanalysis.ai/models/grok-4-7-low	Not reported	24.75% Reported settings Grok 4.7 (High); Model source: https://artificialanalysis.ai/models/grok-4-7-high	25.76% Reported settings Grok 4.7 (Xhigh); Model source: https://artificialanalysis.ai/models/grok-4-7	Not reported
ARC-AGI-2ARC Prize · v2 Semi-Private Benchmark details Original public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18.	16.67% Reported settings Grok 4.7 (Low); Source model ID: xai-grok-4-7-low; 120 tasks	58.75% Reported settings Grok 4.7 (Medium); Source model ID: xai-grok-4-7-medium; 120 tasks	58.33% Reported settings Grok 4.7 (High); Source model ID: xai-grok-4-7-high; 120 tasks	61.39% Reported settings Grok 4.7 (XHigh); Source model ID: xai-grok-4-7-xhigh; 120 tasks	Not reported
ARC-AGI-3 · provider-adapterARC Prize · Provider Adapter Benchmark details ARC-AGI-3; Provider Adapter. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18.	0.77% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group xai-grok-4-7; variant provider-adapter-low; public-demo task scores are excluded	8.37% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group xai-grok-4-7; variant provider-adapter-medium; public-demo task scores are excluded	10.05% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group xai-grok-4-7; variant provider-adapter-high; public-demo task scores are excluded	7.02% Reported settings ARC-AGI-3 Semi-Private verified summary; Provider Adapter harness; source group xai-grok-4-7; variant provider-adapter-xhigh; public-demo task scores are excluded	Not reported
ARC-AGI-3 · standardARC Prize · Standard Benchmark details ARC-AGI-3; Standard. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18.	0.25% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group xai-grok-4-7; variant low; public-demo task scores are excluded	1.71% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group xai-grok-4-7; variant medium; public-demo task scores are excluded	1.73% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group xai-grok-4-7; variant high; public-demo task scores are excluded	1.82% Reported settings ARC-AGI-3 Semi-Private verified summary; Standard harness; source group xai-grok-4-7; variant xhigh; public-demo task scores are excluded	Not reported
FrontierCode 1.1 · extended-grok-buildCognition · grok-build Benchmark details FrontierCode 1.1; grok-build. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	59.35% Reported settings FrontierCode 1.1; extended; 150 tasks; grok-build; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.0087	56.99% Reported settings FrontierCode 1.1; extended; 150 tasks; grok-build; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.0067	Not reported
FrontierCode 1.1 · main-grok-buildCognition · grok-build Benchmark details FrontierCode 1.1; grok-build. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	47.59% Reported settings FrontierCode 1.1; main; 100 tasks; grok-build; source effort high; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.013	45.59% Reported settings FrontierCode 1.1; main; 100 tasks; grok-build; source effort xhigh; weighted rubric score, not pass rate; unfair internet runs zeroed by evaluator; flag rate 0.008	Not reported
Terminal-Bench 4.0 · grokbuildTerminal-Bench · Grok Build Benchmark details Terminal-Bench 4.0; Grok Build. Open each result for its exact effort, task subset, metric and protocol details. Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	37.6% Reported settings Terminal-Bench 4.0.0; 66 tasks; Grok Build; effort xhigh; reported margin ±3.5 percentage points, confidence level unspecified; release date 2026-09-21; board checked 2026-10-07	Not reported
LiveBench · AMPS Hard · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	98% Reported settings LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; grok-4.7-xhigh; checkpoint=grok-4.7	Not reported
LiveBench · code completion · 2026-06-25LiveBench · LiveBench official task evaluation Benchmark details LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only. Unit: percent. Source collected 2026-10-18.	Not reported	Not reported	Not reported	78.26% Reported settings LiveBench official task evaluation; livebench-2026-06-25-code_completion; grok-4.7-xhigh; checkpoint=grok-4.7	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 · 8,915 results across 259 models · Collected 2026-10-18

Grok 4.7 · XHigh

Compare with

One configuration, seven capabilities

Agentic

Hard reasoning

Coding

Human pref

Knowledge

Multimodal

Long context

Capability score evidence

Benchmark results