Model comparison
Grok Code Fast 1 vs Kimi K2.5
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Grok Code Fast 1 #180 (Supported); Kimi K2.5 #54 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok Code Fast 1 and Kimi K2.5 share 12 comparable benchmark results. 1 of 8 categories are comparable. 0 results are unique to Grok Code Fast 1; 51 to Kimi K2.5.
Updated July 20, 2026- Shared results
- 12
- Grok Code Fast 1 only
- 0
- Kimi K2.5 only
- 51
- Comparable categories
- 1 / 8
Pick Kimi K2.5 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
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 is clearly ahead on the BenchAlign aggregate, 59.66 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 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.
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 | Grok Code Fast 1 | Δ | Kimi K2.5 |
|---|---|---|---|
| Coding | Grok Code Fast 170.8 | Margin← 11.4 | Kimi K2.559.4 |
| Agentic | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.555.0 |
| Reasoning | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.561.0 |
| Knowledge | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.556.9 |
| Math | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.560.6 |
| Multilingual | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.582.3 |
| Multimodal | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.578.5 |
| Inst. Following | Grok Code Fast 1Not measured | MarginNo overlap | Kimi K2.593.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 70.8%B 76.8%Winner: Kimi K2.5Δ 6SWE-bench Verified: Grok Code Fast 1 scored 70.8%; Kimi K2.5 scored 76.8%. Kimi K2.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok Code Fast 1 | Kimi K2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok Code Fast 1$0.2 input / $1.5 output | Kimi K2.5$0.6 input / $3 output | Grok Code Fast 1 has the lower combined listed price. |
| Generation speedtokens per second | Grok Code Fast 1172 tok/s | Kimi K2.545 tok/s | Grok Code Fast 1 has the higher measured throughput. |
| First-answer latencyseconds to first token | Grok Code Fast 12.81 s | Kimi K2.52.38 s | Kimi K2.5 reaches the first token sooner. |
| Context windowmaximum listed tokens | Grok Code Fast 1256K | Kimi K2.5256K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | Grok Code Fast 1 | Kimi K2.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 75.7% | 95.9% | Kimi K2.5 leads |
| Terminal-Bench 2.0Source | — | 50.8% | Not comparable |
| BrowseCompSource | — | 60.6% | Not comparable |
| Claw-EvalSource | — | 52.3% | Not comparable |
| QwenClawBenchSource | — | 54.3% | Not comparable |
| τ³-bench resultsSource | — | 65.7% | Not comparable |
| DeepSearchQASource | — | 77.1% | Not comparable |
| DeepPlanningSource | — | 14.4% | Not comparable |
| ToolathlonSource | — | 27.8% | Not comparable |
| MCP AtlasSource | — | 29.5% | Not comparable |
| MCP-TasksSource | — | 59.1% | Not comparable |
| WideResearchSource | — | 72.7% | Not comparable |
| APEX-Agents-AASource | — | 11.5% | Not comparable |
| Gert LabsSource | — | 45.88% | Not comparable |
| ResearchClawBenchSource | — | 14.0% | Not comparable |
| JobBenchSource | — | 8.7% | Not comparable |
| AA Agentic IndexSource | — | 21.7% | Not comparable |
| GDPval-AASource | — | 25.4% | Not comparable |
| GDPval-AASource | — | 1009 | Not comparable |
CodingGrok Code Fast 1 wins10 benchmarks
| Benchmark | Grok Code Fast 1 | Kimi K2.5 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 70.8% | 76.8% | Kimi K2.5 leads |
| AA-SciCodeSource | 36.2% | 49.0% | Kimi K2.5 leads |
| SWE-bench Verified*Source | — | 70.8% | Not comparable |
| LiveCodeBench v6Source | — | 85.0% | Not comparable |
| SWE-bench ProSource | — | 50.7% | Not comparable |
| SWE MultilingualSource | — | 73% | Not comparable |
| SWE-RebenchSource | — | 58.5% | Not comparable |
| React Native EvalsSource | — | 77.2% | Not comparable |
| SciCodeSource | — | 48.7% | Not comparable |
| AA Coding IndexSource | — | 46.8% | Not comparable |
Reasoning3 benchmarks
Knowledge12 benchmarks
| Benchmark | Grok Code Fast 1 | Kimi K2.5 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 21.6% | 35.4% | Kimi K2.5 leads |
| AA-GPQA DiamondSource | 72.7% | 87.9% | Kimi K2.5 leads |
| AA-HLESource | 7.5% | 29.4% | Kimi K2.5 leads |
| AA-Omniscience IndexSource | -36.0% | -8.1% | Kimi K2.5 leads |
| AA-Omniscience AccuracySource | 23.8% | 34.3% | Kimi K2.5 leads |
| AA-Omniscience Hallucination RateSource | 78.5% | 64.6% | Kimi K2.5 leads |
| GPQASource | — | 87.6% | Not comparable |
| GPQA-DSource | — | 87.6% | Not comparable |
| SuperGPQASource | — | 69.2% | Not comparable |
| MMLU-ProSource | — | 87.1% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 87.1% | Not comparable |
| HLESource | — | 30.1% | Not comparable |
Math9 benchmarks
| Benchmark | Grok Code Fast 1 | Kimi K2.5 | Result |
|---|---|---|---|
| AIME 2025Source | — | 96.1% | Not comparable |
| AIME26Source | — | 95.8% | Not comparable |
| AIME25 (Arcee)Source | — | 96.3% | Not comparable |
| HMMT Feb 2025Source | — | 95.4% | Not comparable |
| HMMT Nov 2025Source | — | 91.1% | Not comparable |
| HMMT Feb 2026Source | — | 87.1% | Not comparable |
| MMAnswerBenchSource | — | 81.8% | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | — | 27.900% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 4.200% | Not comparable |
Multilingual2 benchmarks
Multimodal6 benchmarks
Frequently Asked Questions (2)
Which is better, Grok Code Fast 1 or Kimi K2.5?
Kimi K2.5 is ahead on BenchLM's BenchAlign leaderboard, 59.66 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?
Grok Code Fast 1 has the edge for coding in this comparison, averaging 70.8 versus 59.4. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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