Mistral Large 4 (high): benchmark scores, price and ranking
Mistral Large 4 (high) from Mistral AI ranks #411 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.7), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Frontier model
- Open weights
- No
- Released
- 2026-10-06 (source: epoch)
- Cheapest API price
- $0.680 in / $2.09 out per million tokens (via mistral, observed 2026-10-13T20:47Z)
- Aggregate rank
- #411 of 743 (score 47.7)
Across the 1 benchmark where at least ten models are scored, Mistral Large 4 (high) is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.680 per million tokens, is lower than that of 42% of the 427 models with a listed price.
Mistral Large 4 (high) benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| SimpleQA Verified | 20.0% | #57 of 69 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Mistral Large 4 (high)
Mistral Large 4 (high) is a frontier model from Mistral AI. It was released on 2026-10-06, according to Epoch AI. The cheapest API listing we track charges $0.680 per million input tokens and $2.09 per million output tokens, through mistral. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Mistral Large 4 (high) stands
On our aggregate score, Mistral Large 4 (high) is #411 of 743 ranked models, around the middle of the table. Its score is 47.7; the scale is centred on 50, so it sits 2.3 points below the typical model. That beats 45% of the ranked field. Among the 44 ranked Mistral AI models it is #6. The next one up is codestral:22b-v0.1-q8_0 at 48.0. The next one down is ollama/codestral at 47.6.
Mistral Large 4 (high), benchmark by benchmark
SimpleQA Verified is a weak spot. Mistral Large 4 (high) scores 20.0%, #57 of 69, behind 81% of the models measured. The leader, gemini-4-argon-high, reaches 76.0%. It covers short factual questions. The board median is 41.0%, so Mistral Large 4 (high) is 21.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Mistral Large 4 (high) costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Llama 3.1-70B ($0.720) and Gemini 3.6 Flash (High) ($0.750).
Release history
The Mistral AI model released before it was Mistral Medium 3.5 on 2026-04-28, which scores 43.5.
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
- #408 Mistral-Small-24B-Base-2501 (47.7)
- #409 Gemini 2.5 Pro (Thinking 32K) (47.7)
- #410 GLM-4.7 (47.7)
- #412 Claude Haiku 4.5 (Thinking 32K) (47.7)
- #413 gemini-3.1-flash-lite (high) (47.7)
- #414 ollama/codestral (47.6)
More from Mistral AI
- Mistral Large 2 (2407) (#231, 49.9)
- codestral-2405 (#352, 48.4)
- pixtral-large-2411 (#360, 48.3)
- Codestral-22B-v0.1-Q4_K_M (#392, 48.0)
- codestral:22b-v0.1-q8_0 (#393, 48.0)
- ollama/codestral (#414, 47.6)
Compare it on the live leaderboard → · How the aggregate score works