Model comparison
Kimi K2.7 Code vs Qwen3-Coder 480B-A35B Instruct
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 38.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Kimi K2.7 Code scores higher in 5 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 37.0.
- The biggest single-benchmark swing is WeirdML: 54.1% for Kimi K2.7 Code and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
Side by side
| Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 38.1 |
| Released | 2026-06-12 | 2025-04 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.95 | $1.50 |
| Output $ / M tokens | $4 | $7.50 |
| Results tracked | 19 | 25 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena WebDev | 1473 | 1275 |
| WeirdML | 54.1% | 41.2% |
| ALE-Bench | 886.23 | 461.45 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| SciCode | 47.5% | — |
| GSO | — | 4.9% |
| LMArena Coding | — | 1412 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Too close to call
Kimi K2.7 Code: 24.0 (#122), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 49.5% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1372 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1365 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1338 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | — | 1346 |
| LMArena Chinese | — | 1357 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
| LMArena Russian | — | 1366 |
| LMArena Spanish | — | 1360 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1355 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | — | 1378 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Kimi K2.7 Code | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | — | 1357 |
| LMArena Creative Writing | — | 1333 |
| LMArena Multi-Turn | — | 1365 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3-Coder 480B-A35B Instruct?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 38.1 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or Qwen3-Coder 480B-A35B Instruct?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Kimi K2.7 Code or Qwen3-Coder 480B-A35B Instruct better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.7 Code and Qwen3-Coder 480B-A35B Instruct share?
3 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.