Model comparison
Kimi K2.5 vs Mistral Medium 3.5
Kimi K2.5 is the stronger model overall, scoring 48.1 to 40.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. Kimi K2.5 scores higher in 9 categories and Mistral Medium 3.5 in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.5 leads 31.2 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 12.9% for Mistral Medium 3.5.
- Kimi K2.5 is cheaper at $0.45 / $2.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
Side by side
| Kimi K2.5 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 48.1 | 40.2 |
| Released | 2026-01-27 | — |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 210K |
| Input $ / M tokens | $0.45 | $1.50 |
| Output $ / M tokens | $2.25 | $7.50 |
| Results tracked | 51 | 22 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | 1437 | 1264 |
| LMArena Coding | 1474 | 1461 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Not comparable
Kimi K2.5: 34.2 (#48), Mistral Medium 3.5: —
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 78.5% | 41.4% |
| NYT Connections (extended) | 69.9% | 12.9% |
| LMArena Hard Prompts | 1453 | 1436 |
| Epoch Capabilities Index | 148.03 | 141.35 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1470 | 1431 |
| 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
Kimi K2.5: 53.6 (#56), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1466 | 1432 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Vectara Hallucination Rate | 14.2% | — |
Multimodal Kimi K2.5 leads
Kimi K2.5: 41.1 (#39), Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | 1269 | 1223 |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1433 | 1404 |
| LMArena Chinese | 1495 | 1442 |
| LMArena French | 1454 | 1448 |
| LMArena German | 1441 | 1451 |
| LMArena Korean | 1410 | 1385 |
| LMArena Russian | 1435 | 1395 |
| LMArena Spanish | 1450 | 1409 |
| LMArena Japanese | 1421 | — |
Instruction Following Too close to call
Kimi K2.5: 75.3 (#64), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1415 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1445 | 1415 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Kimi K2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1445 | 1421 |
| LMArena Creative Writing | 1423 | 1374 |
| LMArena Multi-Turn | 1444 | 1423 |
| EQ-Bench Creative Writing | 1579 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Kimi K2.5 better than Mistral Medium 3.5?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 40.2 on the Noometry Index.
Which is cheaper, Kimi K2.5 or Mistral Medium 3.5?
Kimi K2.5 is cheaper. It lists at $0.45 per million input tokens and $2.25 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Kimi K2.5 or Mistral Medium 3.5 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.5 and Mistral Medium 3.5 share?
21 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mistral Medium 3.5 has 22.