Model comparison
Deepseek Coder v2 vs Kimi K2.6
Kimi K2.6 is the stronger model overall, scoring 47.5 to 35.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and Kimi K2.6 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.7 to 38.4.
Side by side
| Deepseek Coder v2 | Kimi K2.6 | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 35.3 | 47.5 |
| Released | 2024-06-17 | 2026-04-20 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 24 | 51 |
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Category by category
Coding Kimi K2.6 leads
Deepseek Coder v2: 37.5 (#178), Kimi K2.6: 50.5 (#41)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Coding | 1251 | 1488 |
| SWE-bench Verified | — | 76.7% |
| LMArena WebDev | — | 1509 |
| SciCode | — | 53.5% |
| WeirdML | — | 55.9% |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| ALE-Bench | — | 1,093 |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Agentic & Tool Use Not comparable
Deepseek Coder v2: —, Kimi K2.6: 21.8 (#128)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| OSWorld 2.0 | — | 4.6% |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| Vending-Bench 2 | — | 6,205 |
Reasoning Kimi K2.6 leads
Deepseek Coder v2: 22.6 (#175), Kimi K2.6: 39.6 (#51)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1470 |
| NYT Connections (extended) | — | 87.2% |
| CritPt | — | 8% |
| Chess Puzzles | — | 26% |
| EBR-Bench | — | 2.4% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 90.9% |
| LMCA | — | 37.3% |
| Epoch Capabilities Index | — | 151.03 |
| WinoGrande | 83.7% | — |
Math Kimi K2.6 leads
Deepseek Coder v2: 32.3 (#188), Kimi K2.6: 56.8 (#34)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Math | 1241 | 1475 |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| OTIS Mock AIME 2024-2025 | — | 96.1% |
| ProofBench | — | 16% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
| GSM8K | 94.5% | — |
Knowledge Kimi K2.6 leads
Deepseek Coder v2: 31.7 (#209), Kimi K2.6: 53.9 (#48)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Expert | 1181 | 1491 |
| GPQA Diamond | — | 90.8% |
| SimpleQA Verified | — | 34.9% |
| Vectara Hallucination Rate | — | 10.8% |
| ARC (AI2) Challenge | 64.3% | — |
Multimodal Not comparable
Deepseek Coder v2: —, Kimi K2.6: 31.8 (#95)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Vision | — | 1282 |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |
Multilingual Kimi K2.6 leads
Deepseek Coder v2: 36.4 (#235), Kimi K2.6: 55.1 (#35)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1182 | 1446 |
| LMArena Chinese | 1201 | 1521 |
| LMArena French | 1184 | 1471 |
| LMArena German | 1164 | 1449 |
| LMArena Japanese | 1126 | 1442 |
| LMArena Korean | 1104 | 1428 |
| LMArena Russian | 1188 | 1446 |
| LMArena Spanish | 1153 | 1463 |
Instruction Following Kimi K2.6 leads
Deepseek Coder v2: 61.9 (#237), Kimi K2.6: 76.5 (#40)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1180 | 1451 |
Long Context Kimi K2.6 leads
Deepseek Coder v2: 37.0 (#219), Kimi K2.6: 44.9 (#50)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1219 | 1468 |
Writing & Preference Kimi K2.6 leads
Deepseek Coder v2: 38.4 (#249), Kimi K2.6: 68.7 (#25)
| Benchmark | Deepseek Coder v2 | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1191 | 1455 |
| LMArena Creative Writing | 1120 | 1434 |
| LMArena Multi-Turn | 1176 | 1453 |
| EQ-Bench Creative Writing | — | 1725 |
| EQ-Bench 4 | — | 1202 |
Frequently asked questions
Is Deepseek Coder v2 better than Kimi K2.6?
Kimi K2.6 is the stronger model overall, scoring 47.5 to 35.3 on the Noometry Index.
Is Deepseek Coder v2 or Kimi K2.6 better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.5 versus 37.5 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and Kimi K2.6 share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Kimi K2.6 has 51.