Model comparison
Kimi K2.5 vs Mistral Large 3
Kimi K2.5 is the stronger model overall, scoring 48.1 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.4× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Mistral AISummary
- They share 24 benchmarks with published results for both. Kimi K2.5 scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 36.0.
- The biggest single-benchmark swing is NYT Connections (extended): 69.9% for Kimi K2.5 and 7.5% for Mistral Large 3.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
Side by side
| Kimi K2.5 | Mistral Large 3 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 48.1 | 39.1 |
| Released | 2026-01-27 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 8K |
| Input $ / M tokens | $0.45 | $0.25 |
| Output $ / M tokens | $2.25 | $0.75 |
| Results tracked | 51 | 24 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Mistral Large 3: 34.4 (#237)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1437 | 1230 |
| LMArena Coding | 1474 | 1448 |
| 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 Large 3: —
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| OSWorld | 63.3% | — |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Mistral Large 3: 15.2 (#319)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | 78.5% | 50.9% |
| NYT Connections (extended) | 69.9% | 7.5% |
| Thematic Generalization | 69.4% | 23% |
| LMArena Hard Prompts | 1453 | 1429 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 3.4% | — |
| Epoch Capabilities Index | 148.03 | — |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Mistral Large 3: 38.7 (#129)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Math | 1470 | 1414 |
| 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 Large 3: 36.0 (#177)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | 14.2% | 14.5% |
| LMArena Expert | 1466 | 1421 |
| GPQA Diamond | 87.6% | — |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
Multimodal Kimi K2.5 leads
Kimi K2.5: 41.1 (#39), Mistral Large 3: 38.2 (#66)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | 1269 | 1221 |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Mistral Large 3: 52.5 (#84)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | 1433 | 1413 |
| LMArena Chinese | 1495 | 1447 |
| LMArena French | 1454 | 1455 |
| LMArena German | 1441 | 1437 |
| LMArena Japanese | 1421 | 1394 |
| LMArena Korean | 1410 | 1384 |
| LMArena Russian | 1435 | 1411 |
| LMArena Spanish | 1450 | 1440 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), Mistral Large 3: 74.0 (#108)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1403 |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Mistral Large 3: 43.1 (#105)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | 1445 | 1413 |
| 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 Large 3: 60.0 (#101)
| Benchmark | Kimi K2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Text | 1445 | 1428 |
| LMArena Creative Writing | 1423 | 1386 |
| EQ-Bench Creative Writing | 1579 | 1412 |
| LMArena Multi-Turn | 1444 | 1429 |
Frequently asked questions
Is Kimi K2.5 better than Mistral Large 3?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 39.1 on the Noometry Index. Mistral Large 3 costs 2.4× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 or Mistral Large 3?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or Mistral Large 3 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.5 and Mistral Large 3 share?
24 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Mistral Large 3 has 24.