Model comparison
Deepseek Coder v2 vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 32.3.
Side by side
| Deepseek Coder v2 | Kimi K2.7 Code | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 35.9 | 43.3 |
| Released | 2024-06-17 | 2026-06-12 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 24 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.7 Code leads
Deepseek Coder v2: 38.1 (#183), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1251 | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 886.23 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Deepseek Coder v2: 23.6 (#176), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1207 | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
| WinoGrande | 83.7% | — |
Math Kimi K2.7 Code leads
Deepseek Coder v2: 34.9 (#190), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1241 | — |
| GSM8K | 94.5% | — |
Knowledge Kimi K2.7 Code leads
Deepseek Coder v2: 32.3 (#212), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| LMArena Expert | 1181 | — |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual Not comparable
Deepseek Coder v2: 36.3 (#240), Kimi K2.7 Code: —
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1182 | — |
| LMArena Chinese | 1201 | — |
| LMArena French | 1185 | — |
| LMArena German | 1164 | — |
| LMArena Japanese | 1126 | — |
| LMArena Korean | 1104 | — |
| LMArena Russian | 1188 | — |
| LMArena Spanish | 1153 | — |
Instruction Following Not comparable
Deepseek Coder v2: 61.7 (#242), Kimi K2.7 Code: —
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1180 | — |
Long Context Not comparable
Deepseek Coder v2: 37.0 (#224), Kimi K2.7 Code: —
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1219 | — |
Writing & Preference Not comparable
Deepseek Coder v2: 38.2 (#253), Kimi K2.7 Code: —
| Benchmark | Deepseek Coder v2 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1191 | — |
| LMArena Creative Writing | 1120 | — |
| LMArena Multi-Turn | 1177 | — |
Frequently asked questions
Is Deepseek Coder v2 better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Kimi K2.7 Code share?
0 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Kimi K2.7 Code has 19.