Model comparison
DeepSeek-V3.1 vs Kimi K2.5 Instant
DeepSeek-V3.1 and Kimi K2.5 Instant score almost the same on the Noometry Index (42.8 vs 43.6), so choose on price, context window or the category you care about most.
Last verified . 16 shared benchmarks.
DeepSeekSummary
- They share 16 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 1 category and Kimi K2.5 Instant in 7 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where Kimi K2.5 Instant leads 43.9 to 36.3.
Side by side
| DeepSeek-V3.1 | Kimi K2.5 Instant | |
|---|---|---|
| Provider | DeepSeek | Moonshot AI |
| Noometry Index | 42.8 | 43.6 |
| Released | 2025-08-21 | — |
| Weights | Open | Open |
| Context window | 164K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.95 | — |
| Results tracked | 27 | 18 |
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Category by category
Coding Kimi K2.5 Instant leads
DeepSeek-V3.1: 40.3 (#144), Kimi K2.5 Instant: 42.6 (#97)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Coding | 1417 | 1484 |
| LMArena WebDev | — | 1404 |
| WeirdML | 38.4% | — |
Reasoning Kimi K2.5 Instant leads
DeepSeek-V3.1: 27.9 (#110), Kimi K2.5 Instant: 29.7 (#90)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Hard Prompts | 1417 | 1443 |
| SimpleBench | 40% | — |
| Kagi LLM Benchmark | 53.2% | — |
| DTBench | 82.7% | — |
| LMCA | 24.3% | — |
| Epoch Capabilities Index | 139.92 | — |
| ForecastBench | 58 | — |
Math Too close to call
DeepSeek-V3.1: 38.9 (#122), Kimi K2.5 Instant: 39.4 (#105)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Math | 1420 | 1442 |
Knowledge DeepSeek-V3.1 leads
DeepSeek-V3.1: 43.7 (#90), Kimi K2.5 Instant: 40.2 (#123)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Expert | 1405 | 1440 |
| Vectara Hallucination Rate | 5.5% | — |
Multimodal Not comparable
DeepSeek-V3.1: —, Kimi K2.5 Instant: 40.2 (#50)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Vision | — | 1254 |
Multilingual Too close to call
DeepSeek-V3.1: 51.6 (#106), Kimi K2.5 Instant: 52.0 (#94)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Non-English | 1400 | 1406 |
| LMArena Chinese | 1469 | 1449 |
| LMArena French | 1447 | 1403 |
| LMArena German | 1411 | 1413 |
| LMArena Korean | 1337 | 1378 |
| LMArena Russian | 1405 | 1404 |
| LMArena Spanish | 1431 | 1447 |
| LMArena Japanese | 1378 | — |
Instruction Following Kimi K2.5 Instant leads
DeepSeek-V3.1: 73.9 (#110), Kimi K2.5 Instant: 75.3 (#65)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Instruction Following | 1400 | 1430 |
Long Context Kimi K2.5 Instant leads
DeepSeek-V3.1: 36.3 (#232), Kimi K2.5 Instant: 43.9 (#83)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Longer Query | 1422 | 1435 |
| Fiction.LiveBench | 52.8% | — |
Writing & Preference Too close to call
DeepSeek-V3.1: 60.3 (#98), Kimi K2.5 Instant: 60.6 (#95)
| Benchmark | DeepSeek-V3.1 | Kimi K2.5 Instant |
|---|---|---|
| LMArena Text | 1420 | 1420 |
| LMArena Creative Writing | 1401 | 1381 |
| LMArena Multi-Turn | 1408 | 1427 |
| EQ-Bench Creative Writing | 1436 | — |
Frequently asked questions
Is DeepSeek-V3.1 better than Kimi K2.5 Instant?
DeepSeek-V3.1 and Kimi K2.5 Instant score almost the same on the Noometry Index (42.8 vs 43.6), so choose on price, context window or the category you care about most.
Is DeepSeek-V3.1 or Kimi K2.5 Instant better for coding?
Kimi K2.5 Instant scores higher on coding benchmarks: 42.6 versus 40.3 in the Noometry coding category.
How many benchmarks do DeepSeek-V3.1 and Kimi K2.5 Instant share?
16 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Kimi K2.5 Instant has 18.