Model comparison
DeepSeek-V2.5 (Sep 2024) vs Kimi K2.5
Kimi K2.5 is the stronger model overall, scoring 48.1 to 37.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 0 categories and Kimi K2.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 34.8.
Side by side
| DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 37.6 | 48.1 |
| Released | 2024-09-06 | 2026-01-27 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.45 |
| Output $ / M tokens | — | $2.25 |
| Results tracked | 22 | 51 |
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Category by category
Coding Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Kimi K2.5: 48.8 (#53)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Coding | 1309 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| Aider Polyglot | 17.8% | — |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| WeirdML | — | 45.6% |
| BigCodeBench Instruct | 48.6% | — |
| BigCodeBench Complete | 53.2% | — |
| ALE-Bench | — | 821.65 |
| HumanEval+ | 83.5% | — |
| MBPP+ | 74.1% | — |
Agentic & Tool Use Not comparable
DeepSeek-V2.5 (Sep 2024): —, Kimi K2.5: 34.2 (#48)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |
Reasoning Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Kimi K2.5: 31.2 (#80)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Hard Prompts | 1289 | 1453 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 78.5% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| Epoch Capabilities Index | — | 148.03 |
Math Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Kimi K2.5: 51.8 (#53)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1288 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Kimi K2.5: 53.6 (#56)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Expert | 1266 | 1466 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |
| Vectara Hallucination Rate | — | 14.2% |
Multimodal Not comparable
DeepSeek-V2.5 (Sep 2024): —, Kimi K2.5: 41.1 (#39)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Vision | — | 1269 |
| LMArena Document | — | 1430 |
Multilingual Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Kimi K2.5: 53.9 (#53)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1273 | 1433 |
| LMArena Chinese | 1318 | 1495 |
| LMArena French | 1289 | 1454 |
| LMArena German | 1258 | 1441 |
| LMArena Japanese | 1228 | 1421 |
| LMArena Korean | 1209 | 1410 |
| LMArena Russian | 1289 | 1435 |
| LMArena Spanish | 1248 | 1450 |
Instruction Following Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Kimi K2.5: 75.3 (#64)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1280 | 1431 |
Long Context Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Kimi K2.5: 52.1 (#7)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1301 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |
Writing & Preference Kimi K2.5 leads
DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Kimi K2.5: 65.1 (#53)
| Benchmark | DeepSeek-V2.5 (Sep 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1294 | 1445 |
| LMArena Creative Writing | 1285 | 1423 |
| LMArena Multi-Turn | 1297 | 1444 |
| EQ-Bench Creative Writing | — | 1579 |
Frequently asked questions
Is DeepSeek-V2.5 (Sep 2024) better than Kimi K2.5?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 37.6 on the Noometry Index.
Is DeepSeek-V2.5 (Sep 2024) or Kimi K2.5 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 31.7 in the Noometry coding category.
How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Kimi K2.5 share?
17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Kimi K2.5 has 51.