Model comparison
Kimi K2.7 Code vs Pixtral Large
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 21.7.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.7 Code | Pixtral Large | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 43.3 | 32.2 |
| Released | 2026-06-12 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 128K |
| Input $ / M tokens | $0.95 | $2 |
| Output $ / M tokens | $4 | $6 |
| Results tracked | 19 | 3 |
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Category by category
Coding Not comparable
Kimi K2.7 Code: 42.9 (#95), Pixtral Large: —
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Pixtral Large: —
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| 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), Pixtral Large: 21.7 (#218)
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 0.8% |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Not comparable
Kimi K2.7 Code: 52.9 (#48), Pixtral Large: —
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
Knowledge Not comparable
Kimi K2.7 Code: 53.5 (#57), Pixtral Large: —
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
Multimodal Not comparable
Kimi K2.7 Code: —, Pixtral Large: 30.6 (#111)
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Pixtral Large: 32.9 (#278)
| Benchmark | Kimi K2.7 Code | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | — | 988 |
Frequently asked questions
Is Kimi K2.7 Code better than Pixtral Large?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.2 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or Pixtral Large?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.7 Code and Pixtral Large share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Pixtral Large has 3.