Magistral Small: benchmark scores, price and ranking
Magistral Small from Mistral AI ranks #437 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
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $0.150 in / $0.600 out per million tokens (via mistral, observed 2026-10-13T21:47Z)
- Aggregate rank
- #437 of 743 (score 47.4)
Across the 1 benchmark where at least ten models are scored, Magistral Small is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.150 per million tokens, is lower than that of 72% of the 427 models with a listed price.
Magistral Small benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ARC-AGI-2 | 0.0% | #87 of 87 | ARC Prize official leaderboard | 2026-10-13 |
About Magistral Small
Magistral Small is an open-weight model that can run on your own hardware from Mistral AI. The cheapest API listing we track charges $0.150 per million input tokens and $0.600 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 Small stands
On our aggregate score, Magistral Small is #437 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 #9. The next one up is Magistral Medium at 47.4. The next one down is Codestral 25.01 at 47.2.
Magistral Small, benchmark by benchmark
ARC-AGI-2 is a weak spot. Magistral Small scores 0.0%, #87 of 87, behind 99% 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 Small 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 Small costs less 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 Phi-3-medium-4k-instruct ($0.170) and qwen3-235b-a22b ($0.180).
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. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #434 Claude 3.7 (47.4)
- #435 Llama 4 Scout (47.4)
- #436 Magistral Medium (47.4)
- #438 mini-SWE-agent + Gemini 3.7 Flash (47.4)
- #439 Mercury 2.5 (high) (47.4)
- #440 DeepSeek-V3.1-Terminus (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