Model comparison
Kimi K2.7 Code vs Qwen3.7 Max
Head-to-head evidence from 17 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.7 Code #87 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.7 Code and Qwen3.7 Max share 17 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Kimi K2.7 Code; 41 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 17
- Kimi K2.7 Code only
- 6
- Qwen3.7 Max only
- 41
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2.7 Code and Qwen3.7 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.7 Max has the larger context window at 1M, compared with 256K for Kimi K2.7 Code.
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 | Kimi K2.7 Code | Δ | Qwen3.7 Max |
|---|---|---|---|
| Agentic | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Math | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.7 Code | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.7 Code$0.95 input / $4 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K2.7 CodeNot available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.7 CodeNot available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.7 Code256K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic23 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.7 Max | Result |
|---|---|---|---|
| Kimi Claw 24/7Source | 46.9% | — | Not comparable |
| MCP AtlasSource | 76% | 76.4% | Qwen3.7 Max leads |
| MCP Mark VerifiedSource | 81.1% | — | Not comparable |
| AA Agentic IndexSource | 29.6% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 90.1% | 94.7% | Qwen3.7 Max leads |
| GDPval-AASource | 34.3% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | 1187 | 1273 | Qwen3.7 Max leads |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| Gert LabsSource | — | 64.27% | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding13 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.7 Max | Result |
|---|---|---|---|
| Kimi Code Bench v2Source | 62.0% | — | Not comparable |
| ProgramBenchSource | 53.6% | — | Not comparable |
| MLS-Bench LiteSource | 35.1% | — | Not comparable |
| cursorBench32Source | 49.7% | — | Not comparable |
| AA Coding IndexSource | 60.8% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 47.5% | 48.8% | Qwen3.7 Max leads |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.0% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 89.6% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 32.8% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -10.7% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 38.6% | 30.1% | Kimi K2.7 Code leads |
| AA-Omniscience Hallucination RateSource | 80.3% | 22.9% | Qwen3.7 Max leads |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal1 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.7 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1302 | 1293 | Kimi K2.7 Code leads |
Frequently Asked Questions (3)
Can I compare Kimi K2.7 Code and Qwen3.7 Max on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Kimi K2.7 Code and Qwen3.7 Max today?
Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Qwen3.7 Max: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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