# Magistral Small vs o3

> o3 is the stronger model overall, scoring 47.5 to 30.2 on the Noometry Index. Magistral Small costs 4.7× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/magistral-small-vs-o3
- Last updated: 2026-10-11
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Magistral Small scores higher in 0 categories and o3 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where o3 leads 32.0 to 6.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 6.3% for Magistral Small and 67.6% for o3.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $2 / $8 for o3.
- o3 accepts more context: 200K tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.

## Snapshot

| | Magistral Small | o3 |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.2 | 47.5 |
| Rank | 296 | 61 |
| Context | 128K | 200K |
| Input $/M | $0.50 | $2 |
| Output $/M | $1.50 | $8 |
| Weights | Open | Proprietary |

## Coding

- Magistral Small: 38.4 (#176)
- o3: 46.8 (#64)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| SWE-bench Verified | — | 62.3% |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| SciCode | 35.2% | — |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| LMArena Coding | — | 1408 |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |

## Agentic & Tool Use

- Magistral Small: —
- o3: 34.5 (#44)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |

## Reasoning

- Magistral Small: 6.8 (#350)
- o3: 32.0 (#78)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| ARC-AGI-2 | 0% | 6.5% |
| Kagi LLM Benchmark | 6.3% | 67.6% |
| ARC-AGI-1 | 5% | 60.8% |
| CritPt | 0.3% | 1.4% |
| Chess Puzzles | 3% | 38% |
| DTBench | 61.3% | 84.8% |
| Epoch Capabilities Index | 133.19 | 146.86 |
| SimpleBench | — | 53.1% |
| EnigmaEval | — | 13.1% |
| LMArena Hard Prompts | — | 1402 |
| Mystery Game Puzzles | — | 29% |
| LMCA | — | 39.7% |
| ForecastBench | — | 62.5 |

## Math

- Magistral Small: 26.2 (#261)
- o3: 50.2 (#58)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | 84.4% |
| FrontierMath (Tiers 1-3) | — | 33.3% |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Magistral Small: 30.9 (#223)
- o3: 54.6 (#52)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| GPQA Diamond | 56.1% | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1402 |

## Multimodal

- Magistral Small: —
- o3: 41.4 (#36)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |

## Multilingual

- Magistral Small: —
- o3: 51.7 (#105)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| LMArena Non-English | — | 1401 |
| LMArena Chinese | — | 1437 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1403 |
| LMArena Korean | — | 1370 |
| LMArena Russian | — | 1406 |
| LMArena Spanish | — | 1395 |

## Instruction Following

- Magistral Small: —
- o3: 72.8 (#127)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| IFEval | — | 86.9% |
| LMArena Instruction Following | — | 1368 |

## Long Context

- Magistral Small: —
- o3: 53.3 (#6)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |

## Writing & Preference

- Magistral Small: —
- o3: 63.5 (#64)

| Benchmark | Magistral Small | o3 |
|---|---|---|
| LMArena Text | — | 1410 |
| LMArena Creative Writing | — | 1359 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
| LMArena Multi-Turn | — | 1405 |

## FAQ

### Is Magistral Small better than o3?

o3 is the stronger model overall, scoring 47.5 to 30.2 on the Noometry Index. Magistral Small costs 4.7× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.

### Which is cheaper, Magistral Small or o3?

Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; o3 lists at $2 and $8.

### Is Magistral Small or o3 better for coding?

o3 scores higher on coding benchmarks: 46.8 versus 38.4 in the Noometry coding category.

### Which has the bigger context window?

o3 does, with 200K tokens against 128K.

### How many benchmarks do Magistral Small and o3 share?

9 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and o3 has 63.