Model comparison
Kimi K2.7 Code vs Qwen1.5-14B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.7 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 29.8.
Side by side
| Kimi K2.7 Code | Qwen1.5-14B | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 32.7 |
| Released | 2026-06-12 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 17 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Qwen1.5-14B: 33.1 (#263)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1138 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Qwen1.5-14B: —
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| 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), Qwen1.5-14B: 21.4 (#223)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1113 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen1.5-14B: 32.4 (#215)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1125 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Qwen1.5-14B: 29.8 (#232)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1094 |
| MMLU | — | 68.6% |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen1.5-14B: 30.7 (#262)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | — | 1095 |
| LMArena Chinese | — | 1147 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Russian | — | 1046 |
| LMArena Spanish | — | 1085 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen1.5-14B: 56.8 (#271)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | — | 1102 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen1.5-14B: 33.7 (#257)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | — | 1113 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen1.5-14B: 33.6 (#276)
| Benchmark | Kimi K2.7 Code | Qwen1.5-14B |
|---|---|---|
| LMArena Text | — | 1128 |
| LMArena Creative Writing | — | 1091 |
| LMArena Multi-Turn | — | 1110 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen1.5-14B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.7 on the Noometry Index.
Is Kimi K2.7 Code or Qwen1.5-14B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 33.1 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Qwen1.5-14B share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen1.5-14B has 17.