Model comparison
Kimi K3 vs Pixtral Large
Kimi K3 is the stronger model overall, scoring 59.5 to 32.2 on the Noometry Index. Pixtral Large costs 2.0× less per token, which makes it the better buy when Kimi K3'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 K3 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 K3 leads 76.6 to 32.9.
- Pixtral Large is cheaper at $2 / $6 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 128K.
Side by side
| Kimi K3 | Pixtral Large | |
|---|---|---|
| Provider | Moonshot AI | Mistral AI |
| Noometry Index | 59.5 | 32.2 |
| Released | 2026-07-16 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 1.05M | 128K |
| Max output | 1.05M | 128K |
| Input $ / M tokens | $3 | $2 |
| Output $ / M tokens | $15 | $6 |
| Results tracked | 53 | 3 |
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Category by category
Coding Not comparable
Kimi K3: 61.0 (#10), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| DeepSWE | 68.5% | — |
| FrontierCode | 44.2% | — |
| LMArena WebDev | 1654 | — |
| FrontierSWE | 25.9% | — |
| SciCode | 59.5% | — |
| WeirdML | 82.6% | — |
| LMArena Coding | 1508 | — |
| ALE-Bench | 1,524 | — |
Agentic & Tool Use Not comparable
Kimi K3: 41.8 (#20), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| APEX-Agents | 50.6% | — |
| τ²-bench Banking | 37.1% | — |
| PostTrainBench | 32% | — |
| GBAEval | 48.3% | — |
| GDP.pdf | 19% | — |
| Vending-Bench 2 | 5,165 | — |
Reasoning Kimi K3 leads
Kimi K3: 63.0 (#17), Pixtral Large: 21.7 (#218)
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 60.4% | — |
| SimpleBench | 60.7% | — |
| NYT Connections (extended) | 93.6% | — |
| ARC-AGI-1 | 94.5% | — |
| CritPt | 23.4% | — |
| Chess Puzzles | 39% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1496 | — |
| Mystery Game Puzzles | 26% | — |
| DTBench | 91.2% | — |
| LMCA | 52.7% | — |
| Surface Evolver Bench | 95% | — |
| Epoch Capabilities Index | 157.45 | — |
| ForecastBench | 61.1 | — |
Math Not comparable
Kimi K3: 74.2 (#16), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 72.2% | — |
| FrontierMath Tier 4 | 39% | — |
| MathArena Final-Answer Competitions | 87.8% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 87% | — |
| LMArena Math | 1491 | — |
Knowledge Not comparable
Kimi K3: 63.2 (#21), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 93.1% | — |
| SimpleQA Verified | 50.6% | — |
| LMArena Expert | 1521 | — |
Multimodal Kimi K3 leads
Kimi K3: 37.8 (#70), Pixtral Large: 30.6 (#111)
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| Blueprint-Bench 2 | 29.5% | — |
| Furniture Assembly | 34.2% | — |
Multilingual Not comparable
Kimi K3: 56.3 (#21), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1466 | — |
| LMArena Chinese | 1529 | — |
| LMArena French | 1491 | — |
| LMArena German | 1488 | — |
| LMArena Japanese | 1487 | — |
| LMArena Korean | 1458 | — |
| LMArena Russian | 1482 | — |
| LMArena Spanish | 1472 | — |
Instruction Following Not comparable
Kimi K3: 77.7 (#14), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1483 | — |
Long Context Not comparable
Kimi K3: 45.8 (#29), Pixtral Large: —
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1494 | — |
Writing & Preference Kimi K3 leads
Kimi K3: 76.6 (#4), Pixtral Large: 32.9 (#278)
| Benchmark | Kimi K3 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 2082 | 988 |
| LMArena Text | 1476 | — |
| LMArena Creative Writing | 1454 | — |
| EQ-Bench 4 | 1339 | — |
| LMArena Multi-Turn | 1488 | — |
Frequently asked questions
Is Kimi K3 better than Pixtral Large?
Kimi K3 is the stronger model overall, scoring 59.5 to 32.2 on the Noometry Index. Pixtral Large costs 2.0× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Which is cheaper, Kimi K3 or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Kimi K3 lists at $3 and $15.
Which has the bigger context window?
Kimi K3 does, with 1.05M tokens against 128K.
How many benchmarks do Kimi K3 and Pixtral Large share?
1 benchmark has published results for both models. Kimi K3 has 53 scored results on Noometry and Pixtral Large has 3.