Model comparison
DeepSeek-V3 vs Kimi K2.5 Instant
Kimi K2.5 Instant is the stronger model overall, scoring 42.9 to 39.2 on the Noometry Index.
Last verified . 16 shared benchmarks.
DeepSeekSummary
- They share 16 benchmarks with published results for both. DeepSeek-V3 scores higher in 0 categories and Kimi K2.5 Instant in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Kimi K2.5 Instant leads 43.8 to 34.0.
Side by side
| DeepSeek-V3 | Kimi K2.5 Instant | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 39.2 | 42.9 |
| Released | 2024-12-26 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 164K | — |
| Input $ / M tokens | $0.24 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 60 | 18 |
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Category by category
Coding Too close to call
DeepSeek-V3: 41.9 (#99), Kimi K2.5 Instant: 42.3 (#95)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Coding | 1368 | 1483 |
| Aider Polyglot | 55.1% | — |
| LMArena WebDev | — | 1404 |
| SciCode | 35.8% | — |
| WeirdML | 36.1% | — |
| BigCodeBench Instruct | 50% | — |
| LiveBench Coding | 70.9% | — |
| BigCodeBench Complete | 62.2% | — |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73% | — |
Agentic & Tool Use Not comparable
DeepSeek-V3: —, Kimi K2.5 Instant: —
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| METR Time Horizons | 49.6% | — |
Reasoning Kimi K2.5 Instant leads
DeepSeek-V3: 20.0 (#226), Kimi K2.5 Instant: 28.5 (#88)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Hard Prompts | 1365 | 1443 |
| SimpleBench | 27.2% | — |
| Kagi LLM Benchmark | 52.3% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 65.8% | — |
| DTBench | 64.8% | — |
| LiveBench Data Analysis | 60.9% | — |
| LMCA | 15.5% | — |
| BIG-Bench Hard | 87.5% | — |
| Epoch Capabilities Index | 135.95 | — |
| ForecastBench | 59.1 | — |
| HellaSwag | 88.9% | — |
| LiveBench | 66.9% | — |
| PIQA | 84.7% | — |
| WinoGrande | 85.2% | — |
Math Kimi K2.5 Instant leads
DeepSeek-V3: 30.4 (#208), Kimi K2.5 Instant: 36.6 (#105)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Math | 1373 | 1443 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| Omni-MATH | 40.3% | — |
| LiveBench Math | 73.5% | — |
| MATH Level 5 | 75.5% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Kimi K2.5 Instant leads
DeepSeek-V3: 37.5 (#147), Kimi K2.5 Instant: 39.5 (#121)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Expert | 1352 | 1438 |
| GPQA Diamond | 67.6% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 26.1% | — |
| Vectara Hallucination Rate | 6.1% | — |
| GPQA (HELM) | 53.8% | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 87.2% | — |
| TriviaQA | 82.9% | — |
Multimodal Not comparable
DeepSeek-V3: —, Kimi K2.5 Instant: 39.5 (#47)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Vision | — | 1254 |
Multilingual Kimi K2.5 Instant leads
DeepSeek-V3: 48.8 (#138), Kimi K2.5 Instant: 52.2 (#89)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Non-English | 1358 | 1406 |
| LMArena Chinese | 1390 | 1450 |
| LMArena French | 1386 | 1403 |
| LMArena German | 1374 | 1413 |
| LMArena Korean | 1321 | 1378 |
| LMArena Russian | 1372 | 1404 |
| LMArena Spanish | 1358 | 1448 |
| LMArena Japanese | 1333 | — |
Instruction Following Kimi K2.5 Instant leads
DeepSeek-V3: 73.0 (#125), Kimi K2.5 Instant: 75.5 (#61)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1345 | 1430 |
| LiveBench Instruction Following | 81.5% | — |
| IFEval | 83.2% | — |
Long Context Kimi K2.5 Instant leads
DeepSeek-V3: 34.0 (#248), Kimi K2.5 Instant: 43.8 (#82)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Longer Query | 1353 | 1435 |
| Fiction.LiveBench | 50% | — |
Writing & Preference Kimi K2.5 Instant leads
DeepSeek-V3: 57.6 (#124), Kimi K2.5 Instant: 60.8 (#91)
| Benchmark | DeepSeek-V3 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Text | 1375 | 1420 |
| LMArena Creative Writing | 1364 | 1379 |
| LMArena Multi-Turn | 1389 | 1427 |
| Short-Story Creative Writing | 77% | — |
| EQ-Bench Creative Writing | 1472 | — |
| WildBench | 83% | — |
| LiveBench Language | 49.1% | — |
Frequently asked questions
Is DeepSeek-V3 better than Kimi K2.5 Instant?
Kimi K2.5 Instant is the stronger model overall, scoring 42.9 to 39.2 on the Noometry Index.
Is DeepSeek-V3 or Kimi K2.5 Instant better for coding?
They score almost the same on coding (41.9 vs 42.3); test both on your own repository before choosing.
How many benchmarks do DeepSeek-V3 and Kimi K2.5 Instant share?
16 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Kimi K2.5 Instant has 18.