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Model profile

Grok Code Fast 1

xAIEstablishedReleased Aug 28, 2025
Data verified
Overall Score
38.64Public #180 of 200Verified #81 of 99
Arena Elo
1200
Eligible category ranks
1of 8
Price (1M tokens)
$0.2 in / $1.5 out
API pricing
Speed
172tok/s
Context
256K

Evidence coverage

12 of 321 tracked benchmarks are published. 0 are verified and 12 provisional. 5 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
12 / 321
Verified
0
Provisional
12
Categories with evidence
5 / 8

Evidence by category

  • Agentic1 benchmark
    Reported
  • Coding2 benchmarks
    Reported
  • Reasoning2 benchmarks
    Reported
  • Knowledge6 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following1 benchmark
    Reported
ProprietaryNon-Reasoning
Confidence:
Low
base

Grok Code Fast 1 ranks #180 out of 200 models on the public leaderboard with an overall score of 38.64/100. It also ranks #81 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Grok Code Fast 1 is a proprietary model with a 256K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 12 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Coding (#115). This performance profile makes it particularly well-suited for software development and code generation tasks.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 37.8739.8

  1. Llama 4 Behemoth
    Meta
    #17639.8
    Llama 4 Behemoth is #176 with a score of 39.8.
    Compare
  2. Ministral 3 3B (Reasoning)
    Mistral
    #17739.52
    Ministral 3 3B (Reasoning) is #177 with a score of 39.52.
    Compare
  3. Mistral 8x7B v0.2
    Mistral
    #17839.13
    Mistral 8x7B v0.2 is #178 with a score of 39.13.
    Compare
  4. Grok Code Fast 1Current model
    xAI
    #18038.64
    Grok Code Fast 1 is #180 with a score of 38.64.
  5. Granite-4.0-350M
    IBM
    #18138.32
    Granite-4.0-350M is #181 with a score of 38.32.
    Compare
  6. Granite-4.0-H-350M
    IBM
    #18238.32
    Granite-4.0-H-350M is #182 with a score of 38.32.
    Compare
  7. GPT-4o mini
    OpenAI
    #18337.87
    GPT-4o mini is #183 with a score of 37.87.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Coding6%
    Eligible cohort rank #115 of 122Category score 34.5

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank Not rankedWeight 22%1 benchmarkReported55.7
CodingRank #115 of 122Percentile 6thWeight 20%2 benchmarksReported34.5
ReasoningRank Not rankedWeight 17%2 benchmarksReported64.9
KnowledgeRank Not rankedWeight 12%6 benchmarksReported38.0
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingRank Not rankedWeight 5%1 benchmarkReported79.0

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1200Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Agentic1 benchmark
τ²-bench resultsReported

τ²-Bench Tool-Agent-User Evaluation

75.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Coding2 benchmarks
SWE-bench VerifiedReported

Software Engineering Benchmark Verified

70.8%Weighted 16%
Source: Reported upstream sourceProvenance: Reported row carried from an upstream public source. Displayable on BenchLM, but not treated as verified unless explicitly marked otherwise.
AA-SciCodeReported

Artificial Analysis SciCode

36.2%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Reasoning2 benchmarks
AA-LCRReported

Artificial Analysis Long Context Reasoning

48.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
CritPtReported

Critical Physics Tasks

0.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge6 benchmarks
Artificial Analysis Intelligence IndexReported
21.6%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-GPQA DiamondReported

Artificial Analysis GPQA Diamond

72.7%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

7.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience IndexReported

Artificial Analysis Omniscience Index

-36.0%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience AccuracyReported

Artificial Analysis Omniscience Accuracy

23.8%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-Omniscience Hallucination RateReported

Artificial Analysis Omniscience Hallucination Rate

78.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Inst. Following1 benchmark
AA-IFBenchReported

Artificial Analysis IFBench

41.4%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does Grok Code Fast 1 perform overall in AI benchmarks?

Grok Code Fast 1 has 12 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Grok Code Fast 1 good for knowledge and understanding?

Grok Code Fast 1 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Grok Code Fast 1 good for coding and programming?

Grok Code Fast 1 ranks #115 out of 122 models in coding and programming benchmarks with an average score of 34.5. There are stronger options in this category.

Is Grok Code Fast 1 good for reasoning and logic?

Grok Code Fast 1 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.

Is Grok Code Fast 1 good for agentic tool use and computer tasks?

Grok Code Fast 1 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.

Is Grok Code Fast 1 good for instruction following?

Grok Code Fast 1 has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does Grok Code Fast 1 have full benchmark coverage on BenchLM?

Not yet. Grok Code Fast 1 currently has 12 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Grok Code Fast 1?

Grok Code Fast 1 has a published context window of 256K, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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