Model comparison
DeepSeek LLM 67B vs Kimi K2 Thinking Turbo
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 24.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
DeepSeekSummary
- They share 13 benchmarks with published results for both. DeepSeek LLM 67B scores higher in 0 categories and Kimi K2 Thinking Turbo in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2 Thinking Turbo leads 50.9 to 7.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.8% for DeepSeek LLM 67B and 83.1% for Kimi K2 Thinking Turbo.
Side by side
| DeepSeek LLM 67B | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 24.9 | 45.8 |
| Released | 2023-11-29 | 2025-11-06 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 15 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 31.9 (#278), Kimi K2 Thinking Turbo: 38.4 (#178)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Coding | 1096 | 1454 |
| LMArena WebDev | — | 1322 |
Reasoning Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 16.5 (#304), Kimi K2 Thinking Turbo: 32.5 (#75)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| Chess Puzzles | 0% | 20% |
| LMArena Hard Prompts | 1070 | 1428 |
| Epoch Capabilities Index | 110.5 | — |
Math Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 8.7 (#324), Kimi K2 Thinking Turbo: 47.4 (#68)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.8% | 83.1% |
| LMArena Math | 1108 | 1429 |
| MATH Level 5 | 6.4% | — |
Knowledge Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 7.0 (#313), Kimi K2 Thinking Turbo: 50.9 (#69)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | 24.6% | 84.2% |
| LMArena Expert | — | 1439 |
Multilingual Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 29.4 (#267), Kimi K2 Thinking Turbo: 51.4 (#109)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | 1073 | 1398 |
| LMArena Chinese | 1132 | 1456 |
| LMArena French | — | 1425 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1357 |
| LMArena Korean | — | 1330 |
| LMArena Russian | — | 1391 |
| LMArena Spanish | — | 1406 |
Instruction Following Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 55.4 (#277), Kimi K2 Thinking Turbo: 74.0 (#109)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | 1079 | 1403 |
Long Context Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 33.1 (#265), Kimi K2 Thinking Turbo: 43.2 (#102)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | 1092 | 1415 |
Writing & Preference Kimi K2 Thinking Turbo leads
DeepSeek LLM 67B: 31.6 (#282), Kimi K2 Thinking Turbo: 60.0 (#104)
| Benchmark | DeepSeek LLM 67B | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | 1105 | 1415 |
| LMArena Creative Writing | 1067 | 1374 |
| LMArena Multi-Turn | 1082 | 1414 |
Frequently asked questions
Is DeepSeek LLM 67B better than Kimi K2 Thinking Turbo?
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 24.9 on the Noometry Index.
Is DeepSeek LLM 67B or Kimi K2 Thinking Turbo better for coding?
Kimi K2 Thinking Turbo scores higher on coding benchmarks: 38.4 versus 31.9 in the Noometry coding category.
How many benchmarks do DeepSeek LLM 67B and Kimi K2 Thinking Turbo share?
13 benchmarks have published results for both models. DeepSeek LLM 67B has 15 scored results on Noometry and Kimi K2 Thinking Turbo has 21.