Mistral AI, open weights
Pixtral Large
Pixtral Large by Mistral AI ranks 259th of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.2. Its strongest category is multimodal, where it ranks 111th. API pricing starts at $2 per million input tokens and $6 per million output tokens, with a 128K-token context window.
Last verified
Specifications
- Noometry rank
- #259 of 354
- Index score
- 32.2
- Evidence
- Reported 3 results
- Provider
Mistral AI
- Released
- November 1, 2024
- Weights
- Open weights
- Reasoning
- No
- Context window
- 128K
- Max output
- 128K
- Input price
- $2 / M
- Output price
- $6 / M
- Blended price
- $3 / M
- Output speed
- Not measured
- Value
- #181 of 219
- Knowledge cutoff
- November 2024
- Input
- text, image
Category scores
Each category score combines every public result we have in that category.
- Reasoning 21.7
- Multimodal 30.6
- Writing & Preference 32.9
| Category | Score | Rank | Results |
|---|---|---|---|
| Reasoning | 21.7 | #218 | 1 |
| Multimodal | 30.6 | #111 | 1 |
| Writing & Preference | 32.9 | #278 | 1 |
Strengths and weaknesses
Categories where Pixtral Large places highest and lowest among the models ranked in each, with its score against that category's median.
Strongest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Reasoning | 21.7 | −1.9 | #218 of 350, top 63% |
Weakest categories
| Category | Score | vs median | Rank |
|---|---|---|---|
| Writing & Preference | 32.9 | −20.9 | #278 of 312, top 90% |
Closest competitors
The models ranked just above and below Pixtral Large. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| gpt-oss-20b | #255 | 32.5 | $0.036 | 96 | Compare |
| Laguna M.1 | #256 | 32.5 | — | — | Compare |
| Command R+ | #257 | 32.4 | $4.38 | — | Compare |
| Granite 3.1 8b Instruct | #258 | 32.4 | — | — | Compare |
| Falcon-180B | #260 | 32.2 | — | — | Compare |
| Gemini 1.5 Pro (May 2024) | #261 | 32.1 | — | — | Compare |
| Gemma 3 12B | #262 | 32.1 | $0.075 | — | Compare |
| Mistral Large | #263 | 31.9 | $3 | — | Compare |
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Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| EnigmaEval | 0.8% | #33 of 38, top 87% | Epoch AI |
Multimodal
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena Vision | 1089 | #110 of 122, top 91% | LMArena | 2026-10-09 |
Writing & Preference
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| EQ-Bench Creative Writing | 988 | #95 of 115, top 83% | EQ-Bench |
API pricing by provider
Compare Pixtral Large
- Pixtral Large vs Granite 3.1 8b Instruct
- Pixtral Large vs Falcon-180B
- Pixtral Large vs Command R+
- Pixtral Large vs Gemini 1.5 Pro (May 2024)
- Pixtral Large vs Laguna M.1
- Pixtral Large vs Gemma 3 12B
- Pixtral Large vs GPT-6 Astra
- Pixtral Large vs Claude Fable 5.1
- Pixtral Large vs Gemini 3.8 Flash
- Pixtral Large vs Kimi K3
- Pixtral Large vs Grok 4.6
- Pixtral Large vs Qwen3.8 Max
- Pixtral Large vs GLM-5.3
- Pixtral Large vs Muse Spark 1.3
Other Mistral AI models
- Mistral Large 443.1
- Mistral Medium 3.540.2
- Mistral Large 339.1
- Mistral Medium36.3
- Magistral Medium35.2
- Devstral Small 250534.3
- Mistral Small33.4
- Mistral Large31.9
Frequently asked questions
How good is Pixtral Large?
Pixtral Large by Mistral AI ranks 259th of 354 ranked models on the Noometry Index as of October 2026, with a score of 32.2. Its strongest category is multimodal, where it ranks 111th. API pricing starts at $2 per million input tokens and $6 per million output tokens, with a 128K-token context window.
How much does Pixtral Large cost?
Pixtral Large costs $2 per million input tokens and $6 per million output tokens on Mistral AI's own API.
What is Pixtral Large's context window?
Pixtral Large accepts up to 128K tokens of input and can write up to 128K tokens in one response.
Is Pixtral Large open source?
Yes. Pixtral Large's weights are downloadable; check the license for commercial terms.
What are Pixtral Large's strengths and weaknesses?
Relative to other ranked models, Pixtral Large places best in reasoning and lowest in writing & preference.
What is Pixtral Large best at?
Its best category is multimodal, where it ranks 111th on Noometry.