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Model comparison

Grok Code Fast 1 vs Kimi K2.5 (Reasoning)

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

38.64/100
Margin
20.7pts
winning →
59.35/100
0 category wins1 category wins

Public leaderboard positions: Grok Code Fast 1 #180 (Supported); Kimi K2.5 (Reasoning) #57 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok Code Fast 1 and Kimi K2.5 (Reasoning) share 12 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to Grok Code Fast 1; 15 to Kimi K2.5 (Reasoning).

Updated July 20, 2026
Shared results
12
Grok Code Fast 1 only
0
Kimi K2.5 (Reasoning) only
15
Comparable categories
1 / 8

Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Kimi K2.5 (Reasoning) is clearly ahead on the BenchAlign aggregate, 59.35 to 38.64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 76.8 against 70.8. The single biggest benchmark swing on the page is SWE-bench Verified, 70.8% to 76.8%.

Kimi K2.5 (Reasoning) is also the more expensive model on tokens at $0.60 input / $3.00 output per 1M tokens, versus $0.20 input / $1.50 output per 1M tokens for Grok Code Fast 1. That is roughly 2.0x on output cost alone. Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Grok Code Fast 1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Grok Code Fast 1 gives you the larger context window at 256K, compared with 128K for Kimi K2.5 (Reasoning).

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Grok Code Fast 1 and Kimi K2.5 (Reasoning)
CategoryGrok Code Fast 1ΔKimi K2.5 (Reasoning)
CodingGrok Code Fast 170.8Margin 6.0Kimi K2.5 (Reasoning)76.8
AgenticGrok Code Fast 1Not measuredMarginNo overlapKimi K2.5 (Reasoning)55.0
KnowledgeGrok Code Fast 1Not measuredMarginNo overlapKimi K2.5 (Reasoning)87.2
MultimodalGrok Code Fast 1Not measuredMarginNo overlapKimi K2.5 (Reasoning)78.5

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Grok Code Fast 1B · Kimi K2.5 (Reasoning)
  1. SWE-bench Verified

    Coding
    Source ↗
    A 70.8%B 76.8%
    Winner: Kimi K2.5 (Reasoning)Δ 6
    SWE-bench Verified: Grok Code Fast 1 scored 70.8%; Kimi K2.5 (Reasoning) scored 76.8%. Kimi K2.5 (Reasoning) wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGrok Code Fast 1Kimi K2.5 (Reasoning)Comparison
Input / output priceUSD per 1M tokensGrok Code Fast 1$0.2 input / $1.5 outputKimi K2.5 (Reasoning)$0.6 input / $3 outputGrok Code Fast 1 has the lower combined listed price.
Generation speedtokens per secondGrok Code Fast 1172 tok/sKimi K2.5 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok Code Fast 12.81 sKimi K2.5 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok Code Fast 1256KKimi K2.5 (Reasoning)128KGrok Code Fast 1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
τ²-bench resultsSource 75.7%95.9%Kimi K2.5 (Reasoning) leads
Terminal-Bench 2.0Source 50.8%Not comparable
BrowseCompSource 60.6%Not comparable
APEX-Agents-AASource 11.5%Not comparable
Gert LabsSource 32.58%Not comparable
AA Agentic IndexSource 21.7%Not comparable
GDPval-AASource 25.4%Not comparable
GDPval-AASource 1009Not comparable
CodingKimi K2.5 (Reasoning) wins
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
SWE-bench VerifiedSource 70.8%76.8%Kimi K2.5 (Reasoning) leads
AA-SciCodeSource 36.2%49.0%Kimi K2.5 (Reasoning) leads
Vibe Code BenchSource 17.54%Not comparable
AA Coding IndexSource 46.8%Not comparable
Reasoning
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
AA-LCRSource 48.3%65.3%Kimi K2.5 (Reasoning) leads
CritPtSource 0.0%3.1%Kimi K2.5 (Reasoning) leads
Knowledge
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
Artificial Analysis Intelligence IndexSource 21.6%35.4%Kimi K2.5 (Reasoning) leads
AA-GPQA DiamondSource 72.7%87.9%Kimi K2.5 (Reasoning) leads
AA-HLESource 7.5%29.4%Kimi K2.5 (Reasoning) leads
AA-Omniscience IndexSource -36.0%-8.1%Kimi K2.5 (Reasoning) leads
AA-Omniscience AccuracySource 23.8%34.3%Kimi K2.5 (Reasoning) leads
AA-Omniscience Hallucination RateSource 78.5%64.6%Kimi K2.5 (Reasoning) leads
GPQASource 87.6%Not comparable
MMLU-ProSource 87.1%Not comparable
Math
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
AIME 2025Source 96.1%Not comparable
Multimodal
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
MMMU-ProSource 78.5%Not comparable
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 1282Not comparable
Inst. Following
BenchmarkGrok Code Fast 1Kimi K2.5 (Reasoning)Result
AA-IFBenchSource 41.4%70.2%Kimi K2.5 (Reasoning) leads
Frequently Asked Questions (2)

Which is better, Grok Code Fast 1 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 59.35 to 38.64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 70.8% and 76.8%.

Which is better for coding, Grok Code Fast 1 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 70.8. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

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Last updated: July 20, 2026

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