Magistral Medium: benchmark scores, price and ranking
Magistral Medium from Mistral AI ranks #436 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Frontier model
- Open weights
- No
- Cheapest API price
- $1.50 in / $7.50 out per million tokens (via mistral, observed 2026-10-13T20:47Z)
- Aggregate rank
- #436 of 743 (score 47.4)
Across the 1 benchmark where at least ten models are scored, Magistral Medium is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $1.50 per million tokens, is lower than that of 25% of the 427 models with a listed price.
Magistral Medium benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ARC-AGI-2 | 0.0% | #86 of 87 | ARC Prize official leaderboard | 2026-10-13 |
About Magistral Medium
Magistral Medium is a frontier model from Mistral AI. The cheapest API listing we track charges $1.50 per million input tokens and $7.50 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 Magistral Medium stands
On our aggregate score, Magistral Medium is #436 of 743 ranked models, around the middle of the table. Its score is 47.4; the scale is centred on 50, so it sits 2.6 points below the typical model. That beats 41% of the ranked field. Among the 44 ranked Mistral AI models it is #8. The next one up is ollama/codestral at 47.6. The next one down is Magistral Small at 47.4.
Magistral Medium, benchmark by benchmark
ARC-AGI-2 is a weak spot. Magistral Medium scores 0.0%, #86 of 87, behind 98% of the models measured. The leader, GPT-6 Astra (max), reaches 95.0%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Magistral Medium is 22.8 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Magistral Medium 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 gpt-5.6-terra-xhigh (codex-harness) ($2.00) and Amazon.nova Premier v1:0 ($2.50).
Reading these numbers
The 1 score on this page comes from 1 source: ARC Prize official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. The leaderboard also lists 1 other reasoning-effort setting of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.
Magistral Medium is also listed at 1 other reasoning-effort setting; this page shows the highest-effort row, which is the one the leaderboard keeps by default.
Models ranked nearby
- #433 GPT-5.1 (Thinking, None) (47.5)
- #434 Claude 3.7 (47.4)
- #435 Llama 4 Scout (47.4)
- #437 Magistral Small (47.4)
- #438 mini-SWE-agent + Gemini 3.7 Flash (47.4)
- #439 Mercury 2.5 (high) (47.4)
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)
- Mistral Large 4 (high) (#411, 47.7)
Compare it on the live leaderboard → · How the aggregate score works