Model comparison
Kimi K2.7 Code vs Qwen1.5 4b Chat
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 28.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 26.7.
Side by side
| Kimi K2.7 Code | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 28.8 |
| Released | 2026-06-12 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 13 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 999 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Qwen1.5 4b Chat: —
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| 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), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 976 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1026 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 980 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | — | 979 |
| LMArena Chinese | — | 1024 |
| LMArena German | — | 902 |
| LMArena Russian | — | 952 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | — | 978 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | — | 988 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Kimi K2.7 Code | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | — | 997 |
| LMArena Creative Writing | — | 969 |
| LMArena Multi-Turn | — | 977 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen1.5 4b Chat?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 28.8 on the Noometry Index.
Is Kimi K2.7 Code or Qwen1.5 4b Chat better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 29.1 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Qwen1.5 4b Chat share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen1.5 4b Chat has 13.