# Grok 4.7 vs Pixtral Large

> Grok 4.7 is the stronger model overall, scoring 53.1 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-7-vs-pixtral-large
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Grok 4.7 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 Grok 4.7 leads 70.0 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.

## Snapshot

| | Grok 4.7 | Pixtral Large |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 53.1 | 32.2 |
| Rank | 37 | 259 |
| Context | 500K | 128K |
| Input $/M | $2 | $2 |
| Output $/M | $6 | $6 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.7: 58.0 (#18)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1639 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
| LMArena Coding | 1427 | — |

## Agentic & Tool Use

- Grok 4.7: 36.7 (#37)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |

## Reasoning

- Grok 4.7: 49.1 (#40)
- Pixtral Large: 21.7 (#218)

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| NYT Connections (extended) | 76.8% | — |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1413 | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
| Epoch Capabilities Index | 153.53 | — |

## Math

- Grok 4.7: 57.8 (#39)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
| LMArena Math | 1407 | — |

## Knowledge

- Grok 4.7: 62.8 (#22)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| GPQA Diamond | 92.7% | — |
| SimpleQA Verified | 56% | — |
| LMArena Expert | 1422 | — |

## Multimodal

- Grok 4.7: 35.5 (#87)
- Pixtral Large: 30.6 (#111)

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Vision | 1228 | 1089 |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |

## Multilingual

- Grok 4.7: 50.8 (#116)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1389 | — |
| LMArena Chinese | 1455 | — |
| LMArena French | 1455 | — |
| LMArena Russian | 1397 | — |
| LMArena Spanish | 1400 | — |

## Instruction Following

- Grok 4.7: 74.1 (#105)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1404 | — |

## Long Context

- Grok 4.7: 43.1 (#104)
- Pixtral Large: —

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- Grok 4.7: 70.0 (#24)
- Pixtral Large: 32.9 (#278)

| Benchmark | Grok 4.7 | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 2007 | 988 |
| LMArena Text | 1399 | — |
| LMArena Creative Writing | 1391 | — |
| LMArena Multi-Turn | 1393 | — |

## FAQ

### Is Grok 4.7 better than Pixtral Large?

Grok 4.7 is the stronger model overall, scoring 53.1 to 32.2 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?

2 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Pixtral Large has 3.
