Model comparison
Grok 4.7 vs Pixtral Large
Grok 4.7 is the stronger model overall, scoring 46.6 to 31.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Grok 4.7 scores higher in 2 categories and Pixtral Large in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.7 leads 70.1 to 32.9.
- Both cost about the same: $2 input and $6 output per million tokens.
- Grok 4.7 accepts more context: 500K tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Pixtral Large | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 46.6 | 31.7 |
| Released | 2026-09-21 | 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 | 21 | 3 |
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Category by category
Coding Not comparable
Grok 4.7: 55.0 (#23), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| CursorBench | 46.3% | — |
| LMArena WebDev | 1636 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.4% | — |
| LMArena Coding | 1423 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 40.1 (#49), Pixtral Large: 20.9 (#208)
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 76.8% | — |
| CritPt | 17.7% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1409 | — |
Math Not comparable
Grok 4.7: 41.1 (#73), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| ProofBench | 34% | — |
| LMArena Math | 1393 | — |
Knowledge Not comparable
Grok 4.7: 38.7 (#130), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Expert | 1413 | — |
Multimodal Pixtral Large leads
Grok 4.7: 28.8 (#107), Pixtral Large: 30.0 (#105)
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
| Furniture Assembly | 20.8% | — |
Multilingual Not comparable
Grok 4.7: 51.2 (#108), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1392 | — |
| LMArena Chinese | 1476 | — |
| LMArena Russian | 1396 | — |
Instruction Following Not comparable
Grok 4.7: 74.3 (#98), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1406 | — |
Long Context Not comparable
Grok 4.7: 43.2 (#97), Pixtral Large: —
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1416 | — |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.1 (#23), Pixtral Large: 32.9 (#273)
| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 2007 | 988 |
| LMArena Text | 1397 | — |
| LMArena Creative Writing | 1391 | — |
| LMArena Multi-Turn | 1389 | — |
Frequently asked questions
Is Grok 4.7 better than Pixtral Large?
Grok 4.7 is the stronger model overall, scoring 46.6 to 31.7 on the Noometry Index.
Which is cheaper, Grok 4.7 or Pixtral Large?
Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Grok 4.7 lists at $2 and $6.
Which has the bigger context window?
Grok 4.7 does, with 500K tokens against 128K.
How many benchmarks do Grok 4.7 and Pixtral Large share?
1 benchmark has published results for both models. Grok 4.7 has 21 scored results on Noometry and Pixtral Large has 3.