Model comparison
Grok 4.5 vs Pixtral Large
Grok 4.5 is the stronger model overall, scoring 55.0 to 32.2 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Grok 4.5 scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 21.7.
- Both cost about the same: $2 input and $6 output per million tokens.
- Grok 4.5 accepts more context: 500K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | Pixtral Large | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 55.0 | 32.2 |
| Released | 2026-07-08 | 2024-11-01 |
| Weights | Proprietary | Open |
| Context window | 500K | 128K |
| Max output | 500K | 128K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $6 | $6 |
| Results tracked | 52 | 3 |
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Category by category
Coding Not comparable
Grok 4.5: 52.2 (#35), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1553 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| LMArena Coding | 1474 | — |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#17), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GBAEval | 65.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), Pixtral Large: 21.7 (#218)
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| Kagi LLM Benchmark | 83.5% | — |
| NYT Connections (extended) | 79.9% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 36% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1462 | — |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
| Epoch Capabilities Index | 153.92 | — |
Math Not comparable
Grok 4.5: 60.9 (#35), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 31% | — |
| LMArena Math | 1459 | — |
Knowledge Not comparable
Grok 4.5: 62.3 (#24), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 93.4% | — |
| SimpleQA Verified | 48.3% | — |
| LMArena Expert | 1466 | — |
Multimodal Grok 4.5 leads
Grok 4.5: 37.6 (#72), Pixtral Large: 30.6 (#111)
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| LMArena Vision | 1288 | 1089 |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Not comparable
Grok 4.5: 54.4 (#42), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1496 | — |
| LMArena French | 1456 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1448 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
Grok 4.5: 76.0 (#48), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1446 | — |
Long Context Not comparable
Grok 4.5: 44.8 (#56), Pixtral Large: —
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1463 | — |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), Pixtral Large: 32.9 (#278)
| Benchmark | Grok 4.5 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 1579 | 988 |
| LMArena Text | 1448 | — |
| LMArena Creative Writing | 1442 | — |
| LMArena Multi-Turn | 1456 | — |
Frequently asked questions
Is Grok 4.5 better than Pixtral Large?
Grok 4.5 is the stronger model overall, scoring 55.0 to 32.2 on the Noometry Index.
Which is cheaper, Grok 4.5 or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Grok 4.5 lists at $2 and $6.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 128K.
How many benchmarks do Grok 4.5 and Pixtral Large share?
2 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Pixtral Large has 3.