Grok Code Fast 1

Grok Code Fast 1 is a non-reasoning model from xAI. 12 benchmarks count toward its score, in 5 categories.

availableShows if the model has enough results for an index.
IndexOverall score out of 100.41.2 ±7.2
CoverageShare of the index weight with results.75%
SpeedOutput tokens per second.172/s
Input / 1MUS dollars per 1M input tokens.$0.2
Output / 1MUS dollars per 1M output tokens.$1.5
ContextMaximum tokens in one request.256K
EloLMArena rating and rank.N/A

The index is a score out of 100. The ± range shows how much it can change.

CapabilitiesScore per category, out of 100.

Out of 100
AgenticMulti-step tasks with tools.
40.8
CodingCode writing and repair.
45.8
ReasoningLogic problems and puzzles.
41.6
MultimodalTasks with images and text.
N/A
KnowledgeFacts and expert knowledge.
39.8
MultilingualTasks in many languages.
N/A
InstructionTasks with strict rules in the prompt.
31.1
MathMath problems.
N/A

Results

12 counted
BenchmarkThe test name.CategoryThe capability that the test measures.ResultThe score from the publisher.IndexThis result as a score out of 100.RunThe settings of the run.DateDate of the result.Published byThe source of the result.
τ²-Bench Tool-Agent-User EvaluationAgentic75.7%53.1Victor Barres et al.
Artificial Analysis GPQA DiamondKnowledge72.7%43.1Artificial Analysis
Software Engineering Benchmark VerifiedCoding70.8%54.3Carlos E. Jimenez et al.
LiveCodeBenchCoding62.0%40.71 Sept 2026Vals AI
Artificial Analysis Long Context ReasoningReasoning53.0%44.9Artificial Analysis
Artificial Analysis IFBenchInstruction41.4%31.1Artificial Analysis
Artificial Analysis Omniscience AccuracyKnowledge23.5%42.9Artificial Analysis
Terminal-Bench 1.0Agentic20.0%28.512 Jan 2026Vals AI
Artificial Analysis Intelligence IndexKnowledge14.1%40.0Artificial Analysis
Artificial Analysis Humanity's Last ExamKnowledge8.0%33.2Artificial Analysis
IOI v1Coding4.3%42.49 Aug 2026Vals AI
Critical Physics TasksReasoning0.0%38.4Artificial Analysis

12 benchmarks count, from 12 of 12 results. A grey row does not count. Too few models took that benchmark.

Sources

BenchLM benchmark aggregationUsed with attribution; per-benchmark results credited to their original authorsVals AI, collected directlyNo licence stated. Read from the public leaderboard and credited to Vals AI

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