pixtral-large-2411: benchmark scores, price and ranking
pixtral-large-2411 from Mistral AI ranks #360 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Frontier model
- Open weights
- No
- Released
- 2024-11-18 (source: epoch)
- Aggregate rank
- #360 of 743 (score 48.3)
Across the 1 benchmark where at least ten models are scored, pixtral-large-2411 is in the top 10% on 0 and in the top half on 0.
pixtral-large-2411 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| EnigmaEval | 0.8% | #18 of 24 | Epoch AI Benchmarking Hub | 2026-10-13 |
About pixtral-large-2411
pixtral-large-2411 is a frontier model from Mistral AI. It was released on 2024-11-18, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where pixtral-large-2411 stands
On our aggregate score, pixtral-large-2411 is #360 of 743 ranked models, around the middle of the table. Its score is 48.3; the scale is centred on 50, so it sits 1.7 points below the typical model. That beats 52% of the ranked field. Among the 44 ranked Mistral AI models it is #3. The next one up is codestral-2405 at 48.4. The next one down is Codestral-22B-v0.1-Q4_K_M at 48.0.
pixtral-large-2411, benchmark by benchmark
pixtral-large-2411 lands below the middle on EnigmaEval: 0.8%, #18 of 24, with 71% of the field scoring higher. Gemini 3 Pro Preview leads at 18.2%; the closest result above is Claude 3.5 Sonnet (Oct 2024) at 0.9%. It covers multi-step puzzle hunts. The board median is 2.9%, so pixtral-large-2411 is 2.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Mistral AI model released before it was mistral-large-2411 on 2024-11-18, which scores 45.6. The next one was Codestral 25.01 on 2025-01-13, at 47.2.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #357 Kimi K2.6 (48.4)
- #358 o1-mini (high) (48.4)
- #359 EXAONE-3.5-32B-Instruct (48.4)
- #361 Muse Glimmer (high) (48.3)
- #362 gpt-3.5-turbo-0125 (48.3)
- #363 gpt-3.5-turbo-0613 (48.3)
More from Mistral AI
- Mistral Large 2 (2407) (#231, 49.9)
- codestral-2405 (#352, 48.4)
- Codestral-22B-v0.1-Q4_K_M (#392, 48.0)
- codestral:22b-v0.1-q8_0 (#393, 48.0)
- Mistral Large 4 (high) (#411, 47.7)
- ollama/codestral (#414, 47.6)
Compare it on the live leaderboard → · How the aggregate score works