Model comparison
DeepSeek Coder 6.7B vs Kimi K2 (Jul 2025)
Kimi K2 (Jul 2025) has enough public results to be ranked (#140); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
DeepSeekSummary
- They share 1 benchmark with published results for both. DeepSeek Coder 6.7B scores higher in 0 categories and Kimi K2 (Jul 2025) in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Kimi K2 (Jul 2025) leads 42.4 to 35.8.
Side by side
| DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 37.6 | 41.2 |
| Released | 2023-11-02 | 2025-07-12 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.57 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 9 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2 (Jul 2025) leads
DeepSeek Coder 6.7B: 35.8 (#219), Kimi K2 (Jul 2025): 42.4 (#102)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| BigCodeBench Instruct | 35.5% | — |
| LMArena Coding | — | 1399 |
| BigCodeBench Complete | 43.8% | — |
| ALE-Bench | — | 597.5 |
| HumanEval+ | 71.3% | — |
| MBPP+ | 65.6% | — |
Agentic & Tool Use Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 32.4 (#64)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |
Reasoning Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 23.3 (#179)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| Epoch Capabilities Index | 89.62 | 146.01 |
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| LMArena Hard Prompts | — | 1384 |
| ForecastBench | — | 60.2 |
| WinoGrande | 57.6% | — |
Math Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 42.7 (#83)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| Omni-MATH | — | 65.4% |
| LMArena Math | — | 1397 |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 21.3% | — |
Knowledge Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 37.3 (#157)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |
| LMArena Expert | — | 1365 |
| ARC (AI2) Challenge | 36.4% | — |
| MMLU | 36.4% | — |
Multilingual Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 49.6 (#130)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1386 |
Instruction Following Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 71.1 (#156)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| IFEval | — | 85% |
| LMArena Instruction Following | — | 1348 |
Long Context Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 41.2 (#145)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
| LMArena Longer Query | — | 1353 |
Writing & Preference Not comparable
DeepSeek Coder 6.7B: —, Kimi K2 (Jul 2025): 62.3 (#78)
| Benchmark | DeepSeek Coder 6.7B | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | — | 1380 |
| LMArena Creative Writing | — | 1350 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |
| LMArena Multi-Turn | — | 1371 |
Frequently asked questions
Is DeepSeek Coder 6.7B better than Kimi K2 (Jul 2025)?
Kimi K2 (Jul 2025) has enough public results to be ranked (#140); DeepSeek Coder 6.7B does not yet, so treat this comparison as directional.
Is DeepSeek Coder 6.7B or Kimi K2 (Jul 2025) better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 35.8 in the Noometry coding category.
How many benchmarks do DeepSeek Coder 6.7B and Kimi K2 (Jul 2025) share?
1 benchmark has published results for both models. DeepSeek Coder 6.7B has 9 scored results on Noometry and Kimi K2 (Jul 2025) has 42.