Model comparison
Kimi K2.7 Code vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 43.3 on the Noometry Index.
Last verified . 7 shared benchmarks.
Alibaba (Qwen)Summary
- They share 7 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Qwen3.5 397B-A17B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Qwen3.5 397B-A17B leads 33.3 to 24.0.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 54% for Kimi K2.7 Code and 31.2% for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Side by side
| Kimi K2.7 Code | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 46.0 |
| Released | 2026-06-12 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.95 | $0.60 |
| Output $ / M tokens | $4 | $3.60 |
| Results tracked | 19 | 36 |
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Category by category
Coding Too close to call
Kimi K2.7 Code: 42.9 (#95), Qwen3.5 397B-A17B: 42.0 (#114)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena WebDev | 1473 | 1400 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1465 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Qwen3.5 397B-A17B leads
Kimi K2.7 Code: 24.0 (#122), Qwen3.5 397B-A17B: 33.3 (#53)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | 37.6% | 24.9% |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Qwen3.5 397B-A17B: 34.5 (#70)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| Chess Puzzles | 21% | 13% |
| Epoch Capabilities Index | 149.97 | 146.65 |
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 73.7% |
| NYT Connections (extended) | — | 58.9% |
| CritPt | 10% | — |
| Thematic Generalization | — | 65.1% |
| LMArena Hard Prompts | — | 1448 |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 87.5% |
| LMCA | — | 37.9% |
| Surface Evolver Bench | 48.8% | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen3.5 397B-A17B: 46.1 (#73)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 31.2% |
| OTIS Mock AIME 2024-2025 | 95.6% | 88.9% |
| FrontierMath Tier 4 | 12.2% | — |
| LMArena Math | — | 1454 |
Knowledge Too close to call
Kimi K2.7 Code: 53.5 (#57), Qwen3.5 397B-A17B: 53.3 (#58)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 87.9% | 86.4% |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1462 |
Multimodal Not comparable
Kimi K2.7 Code: —, Qwen3.5 397B-A17B: 40.7 (#44)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | — | 1263 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen3.5 397B-A17B: 53.7 (#59)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | — | 1430 |
| LMArena Chinese | — | 1500 |
| LMArena French | — | 1461 |
| LMArena German | — | 1447 |
| LMArena Japanese | — | 1426 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1429 |
| LMArena Spanish | — | 1441 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen3.5 397B-A17B: 75.0 (#77)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen3.5 397B-A17B: 44.1 (#74)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | — | 1442 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen3.5 397B-A17B: 62.3 (#79)
| Benchmark | Kimi K2.7 Code | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | — | 1438 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1478 |
| LMArena Multi-Turn | — | 1446 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 43.3 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Qwen3.5 397B-A17B better for coding?
They score almost the same on coding (42.9 vs 42.0); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.7 Code and Qwen3.5 397B-A17B share?
7 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.5 397B-A17B has 36.