Model comparison
Kimi K2.7 Code vs Qwen3.5 397B
Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2.7 Code #92 (Estimated); Qwen3.5 397B #78 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2.7 Code and Qwen3.5 397B share 16 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to Kimi K2.7 Code; 39 to Qwen3.5 397B.
Updated July 27, 2026- Shared results
- 16
- Kimi K2.7 Code only
- 7
- Qwen3.5 397B only
- 39
- Comparable categories
- 0 / 8
Benchmark data for Kimi K2.7 Code and Qwen3.5 397B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 5 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.
Kimi K2.7 Code is priced at $0.95 input / $4.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B. Kimi K2.7 Code has the larger context window at 256K, compared with 128K for Qwen3.5 397B.
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 | Qwen3.5 397B |
|---|---|---|---|
| Agentic | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B56.5 |
| Coding | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B66.5 |
| Reasoning | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B63.2 |
| Knowledge | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B56.6 |
| Math | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B90.6 |
| Multilingual | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B84.7 |
| Multimodal | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B79.6 |
| Inst. Following | Kimi K2.7 CodeNot measured | MarginNo overlap | Qwen3.5 397B92.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2.7 Code | Qwen3.5 397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2.7 Code$0.95 input / $4 output | Qwen3.5 397B$0.6 input / $3.6 output | Qwen3.5 397B has the lower combined listed price. |
| Generation speedtokens per second | Kimi K2.7 CodeNot available | Qwen3.5 397B96 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K2.7 CodeNot available | Qwen3.5 397B2.44 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2.7 Code256K | Qwen3.5 397B128K | Kimi K2.7 Code lists the larger context window. |
Benchmark Deep Dive
Agentic20 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B | Result |
|---|---|---|---|
| Kimi Claw 24/7Source | 46.9% | — | Not comparable |
| MCP AtlasSource | 76% | 46.1% | Kimi K2.7 Code leads |
| MCP Mark VerifiedSource | 81.1% | — | Not comparable |
| AA Agentic IndexSource | 29.6% | 19.9% | Kimi K2.7 Code leads |
| τ²-bench resultsSource | 90.1% | 95.6% | Qwen3.5 397B leads |
| GDPval-AASource | 34.3% | 23.1% | Kimi K2.7 Code leads |
| GDPval-AASource | 1186 | 962 | Kimi K2.7 Code leads |
| Terminal-Bench 2.0Source | — | 52.5% | Not comparable |
| BrowseCompSource | — | 62% | Not comparable |
| Claw-EvalSource | — | 56.8% | Not comparable |
| QwenClawBenchSource | — | 51.8% | Not comparable |
| τ³-bench resultsSource | — | 68.4% | Not comparable |
| VITA-BenchSource | — | 43.7% | Not comparable |
| DeepPlanningSource | — | 37.6% | Not comparable |
| ToolathlonSource | — | 36.3% | Not comparable |
| MCP-TasksSource | — | 74.2% | Not comparable |
| WideResearchSource | — | 74.0% | Not comparable |
| Gert LabsSource | — | 46.76% | Not comparable |
| ResearchClawBenchSource | — | 14.2% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
Coding9 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B | 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% | 48.2% | Kimi K2.7 Code leads |
| AA-SciCodeSource | 47.5% | 42.0% | Kimi K2.7 Code leads |
| SWE-bench VerifiedSource | — | 76.2% | Not comparable |
| LiveCodeBench v6Source | — | 83.6% | Not comparable |
| SWE-bench ProSource | — | 50.9% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.0% | 33.7% | Kimi K2.7 Code leads |
| AA-GPQA DiamondSource | 89.6% | 89.3% | Kimi K2.7 Code leads |
| AA-HLESource | 32.8% | 27.3% | Kimi K2.7 Code leads |
| AA-Omniscience IndexSource | -10.7% | -29.8% | Kimi K2.7 Code leads |
| AA-Omniscience AccuracySource | 38.6% | 31.4% | Kimi K2.7 Code leads |
| AA-Omniscience Hallucination RateSource | 80.3% | 89.1% | Kimi K2.7 Code leads |
| GPQASource | — | 88.4% | Not comparable |
| SuperGPQASource | — | 70.4% | Not comparable |
| MMLU-ProSource | — | 87.8% | Not comparable |
| MMLU-ReduxSource | — | 94.9% | Not comparable |
| C-EvalSource | — | 93% | Not comparable |
| HLESource | — | 28.7% | Not comparable |
Math5 benchmarks
Multilingual2 benchmarks
Multimodal8 benchmarks
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1300 | — | Not comparable |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 88.6% | Not comparable |
| CharXivSource | — | 80.8% | Not comparable |
| VideoMMMUSource | — | 84.7% | Not comparable |
| ScreenSpot ProSource | — | 65.6% | Not comparable |
| V*Source | — | 95.8% | Not comparable |
| AA-MMMU-ProSource | — | 77.3% | Not comparable |
Frequently Asked Questions (3)
Can I compare Kimi K2.7 Code and Qwen3.5 397B 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 Qwen3.5 397B today?
Kimi K2.7 Code: $0.95 input / $4.00 output per 1M tokens Qwen3.5 397B: $0.60 input / $3.60 output per 1M tokens 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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