Model comparison
Mistral 7B vs Pixtral Large
Pixtral Large is the stronger model overall, scoring 32.2 to 23.0 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Pixtral Large's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where Pixtral Large leads 21.7 to 13.1.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Pixtral Large accepts more context: 128K tokens versus 8K.
Side by side
| Mistral 7B | Pixtral Large | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 23.0 | 32.2 |
| Released | 2023-09-27 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 8K | 128K |
| Max output | 8K | 128K |
| Input $ / M tokens | $0.25 | $2 |
| Output $ / M tokens | $0.25 | $6 |
| Results tracked | 37 | 3 |
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Category by category
Coding Not comparable
Mistral 7B: 26.4 (#326), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| BigCodeBench Instruct | 19.5% | — |
| LMArena Coding | 1082 | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Pixtral Large leads
Mistral 7B: 13.1 (#336), Pixtral Large: 21.7 (#218)
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1067 | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Not comparable
Mistral 7B: 8.1 (#325), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| LMArena Math | 1085 | — |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Not comparable
Mistral 7B: 7.4 (#311), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| GPQA Diamond | 15.2% | — |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multimodal Not comparable
Mistral 7B: —, Pixtral Large: 30.6 (#111)
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
Mistral 7B: 25.8 (#283), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| LMArena Non-English | 1012 | — |
| LMArena Chinese | 1009 | — |
| LMArena French | 1037 | — |
| LMArena German | 987 | — |
| LMArena Japanese | 878 | — |
| LMArena Russian | 1018 | — |
| LMArena Spanish | 1026 | — |
Instruction Following Not comparable
Mistral 7B: 54.2 (#280), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| LMArena Instruction Following | 1060 | — |
Long Context Not comparable
Mistral 7B: 32.2 (#271), Pixtral Large: —
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1060 | — |
Writing & Preference Pixtral Large leads
Mistral 7B: 30.7 (#286), Pixtral Large: 32.9 (#278)
| Benchmark | Mistral 7B | Pixtral Large |
|---|---|---|
| LMArena Text | 1090 | — |
| LMArena Creative Writing | 1068 | — |
| EQ-Bench Creative Writing | — | 988 |
| LMArena Multi-Turn | 1062 | — |
Frequently asked questions
Is Mistral 7B better than Pixtral Large?
Pixtral Large is the stronger model overall, scoring 32.2 to 23.0 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Pixtral Large's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Pixtral Large?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Pixtral Large does, with 128K tokens against 8K.
How many benchmarks do Mistral 7B and Pixtral Large share?
0 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Pixtral Large has 3.