Model comparison
Kimi K2.7 Code vs Mistral Large 3
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.6× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Kimi K2.7 Code scores higher in 4 categories and Mistral Large 3 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 15.2.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Side by side
| Kimi K2.7 Code | Mistral Large 3 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 39.1 |
| Released | 2026-06-12 | 2025-12-02 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 8K |
| Input $ / M tokens | $0.95 | $0.25 |
| Output $ / M tokens | $4 | $0.75 |
| Results tracked | 19 | 24 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Mistral Large 3: 34.4 (#237)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | 1473 | 1230 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1448 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Mistral Large 3: —
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Mistral Large 3: 15.2 (#319)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Mistral Large 3: 38.7 (#129)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1414 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Mistral Large 3: 36.0 (#177)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |
Multimodal Not comparable
Kimi K2.7 Code: —, Mistral Large 3: 38.2 (#66)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1221 |
Multilingual Not comparable
Kimi K2.7 Code: —, Mistral Large 3: 52.5 (#84)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1413 |
| LMArena Chinese | — | 1447 |
| LMArena French | — | 1455 |
| LMArena German | — | 1437 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1411 |
| LMArena Spanish | — | 1440 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Mistral Large 3: 74.0 (#108)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1403 |
Long Context Not comparable
Kimi K2.7 Code: —, Mistral Large 3: 43.1 (#105)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mistral Large 3: 60.0 (#101)
| Benchmark | Kimi K2.7 Code | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1428 |
| LMArena Creative Writing | — | 1386 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |
Frequently asked questions
Is Kimi K2.7 Code better than Mistral Large 3?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 39.1 on the Noometry Index. Mistral Large 3 costs 4.6× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.7 Code 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 K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Mistral Large 3 better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.7 Code and Mistral Large 3 share?
1 benchmark has published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Large 3 has 24.