Model comparison
Kimi K2.6 vs Pixtral Large
Kimi K2.6 is the stronger model overall, scoring 47.7 to 32.2 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Kimi K2.6 scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2.6 leads 68.5 to 32.9.
- Kimi K2.6 is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Kimi K2.6 accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.6 | Pixtral Large | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 47.7 | 32.2 |
| Released | 2026-04-20 | 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 | 51 | 3 |
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Category by category
Coding Not comparable
Kimi K2.6: 50.7 (#43), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| LMArena Coding | 1488 | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.9 (#137), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 40.5 (#55), Pixtral Large: 21.7 (#218)
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EnigmaEval | — | 0.8% |
| EBR-Bench | 2.4% | — |
| LMArena Hard Prompts | 1470 | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 90.9% | — |
| LMCA | 37.3% | — |
| Epoch Capabilities Index | 151.05 | — |
Math Not comparable
Kimi K2.6: 57.0 (#41), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| LMArena Math | 1475 | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Not comparable
Kimi K2.6: 54.0 (#54), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
| LMArena Expert | 1491 | — |
Multimodal Kimi K2.6 leads
Kimi K2.6: 31.6 (#103), Pixtral Large: 30.6 (#111)
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| LMArena Vision | 1283 | 1089 |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
Multilingual Not comparable
Kimi K2.6: 54.9 (#37), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1446 | — |
| LMArena Chinese | 1521 | — |
| LMArena French | 1471 | — |
| LMArena German | 1450 | — |
| LMArena Japanese | 1443 | — |
| LMArena Korean | 1427 | — |
| LMArena Russian | 1446 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Kimi K2.6: 76.3 (#43), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1451 | — |
Long Context Not comparable
Kimi K2.6: 44.9 (#52), Pixtral Large: —
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1468 | — |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.5 (#26), Pixtral Large: 32.9 (#278)
| Benchmark | Kimi K2.6 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1725 | 988 |
| LMArena Text | 1455 | — |
| LMArena Creative Writing | 1434 | — |
| EQ-Bench 4 | 1202 | — |
| LMArena Multi-Turn | 1453 | — |
Frequently asked questions
Is Kimi K2.6 better than Pixtral Large?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 32.2 on the Noometry Index.
Which is cheaper, Kimi K2.6 or Pixtral Large?
Kimi K2.6 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 K2.6 does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.6 and Pixtral Large share?
2 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Pixtral Large has 3.