Model comparison
Kimi K2.7 Code vs Mistral Large 4
Kimi K2.7 Code and Mistral Large 4 score almost the same on the Noometry Index (43.3 vs 43.1), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 3 categories and Mistral Large 4 in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 36.6.
- The biggest single-benchmark swing is SimpleQA Verified: 36.5% for Kimi K2.7 Code and 20% for Mistral Large 4.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Mistral Large 4 accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | Mistral Large 4 | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 43.1 |
| Released | 2026-06-12 | 2026-10-06 |
| Weights | Open | Proprietary |
| Context window | 262K | 1.05M |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.95 | $0.68 |
| Output $ / M tokens | $4 | $2.09 |
| Results tracked | 19 | 15 |
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Category by category
Coding Mistral Large 4 leads
Kimi K2.7 Code: 42.9 (#95), Mistral Large 4: 48.6 (#57)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| LMArena WebDev | 1473 | 1541 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1475 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Mistral Large 4: —
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| 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 4: 22.5 (#192)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| SimpleBench | 57.9% | — |
| NYT Connections (extended) | — | 27.4% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1444 |
| 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 4: 40.4 (#91)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1488 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Mistral Large 4: 36.6 (#166)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| SimpleQA Verified | 36.5% | 20% |
| GPQA Diamond | 87.9% | — |
| LMArena Expert | — | 1447 |
Multilingual Not comparable
Kimi K2.7 Code: —, Mistral Large 4: 52.6 (#82)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | — | 1415 |
| LMArena Chinese | — | 1491 |
| LMArena Russian | — | 1414 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Mistral Large 4: 75.0 (#76)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | — | 1424 |
Long Context Not comparable
Kimi K2.7 Code: —, Mistral Large 4: 43.6 (#89)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | — | 1429 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Mistral Large 4: 60.4 (#97)
| Benchmark | Kimi K2.7 Code | Mistral Large 4 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is Kimi K2.7 Code better than Mistral Large 4?
Kimi K2.7 Code and Mistral Large 4 score almost the same on the Noometry Index (43.3 vs 43.1), so choose on price, context window or the category you care about most.
Which is cheaper, Kimi K2.7 Code or Mistral Large 4?
Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 262K.
How many benchmarks do Kimi K2.7 Code and Mistral Large 4 share?
2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Mistral Large 4 has 15.