Model comparison
Magistral Small vs MiniMax-M2.1
MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 30.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MiniMaxSummary
- The widest gap is in math, where MiniMax-M2.1 leads 38.3 to 26.2.
- MiniMax-M2.1 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
- MiniMax-M2.1 accepts more context: 205K tokens versus 128K.
Side by side
| Magistral Small | MiniMax-M2.1 | |
|---|---|---|
| Provider | Mistral AI | MiniMax |
| Noometry Index | 30.2 | 38.9 |
| Released | 2025-06-10 | 2025-12-23 |
| Weights | Open | Open |
| Context window | 128K | 205K |
| Max output | 40K | 131K |
| Input $ / M tokens | $0.50 | $0.30 |
| Output $ / M tokens | $1.50 | $1.20 |
| Results tracked | 10 | 22 |
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Category by category
Coding MiniMax-M2.1 leads
Magistral Small: 38.4 (#176), MiniMax-M2.1: 40.4 (#143)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| LMArena WebDev | — | 1384 |
| SciCode | 35.2% | — |
| LMArena Coding | — | 1421 |
| ALE-Bench | — | 623.83 |
Agentic & Tool Use Not comparable
Magistral Small: —, MiniMax-M2.1: 27.9 (#98)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| Terminal-Bench | — | 36.6% |
Reasoning MiniMax-M2.1 leads
Magistral Small: 6.8 (#350), MiniMax-M2.1: 16.6 (#302)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 6.3% | — |
| NYT Connections (extended) | — | 11.2% |
| ARC-AGI-1 | 5% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | 3% | — |
| LMArena Hard Prompts | — | 1411 |
| DTBench | 61.3% | — |
| Epoch Capabilities Index | 133.19 | — |
Math MiniMax-M2.1 leads
Magistral Small: 26.2 (#261), MiniMax-M2.1: 38.3 (#138)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 30% | — |
| LMArena Math | — | 1397 |
Knowledge MiniMax-M2.1 leads
Magistral Small: 30.9 (#223), MiniMax-M2.1: 38.3 (#147)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| GPQA Diamond | 56.1% | — |
| Vectara Hallucination Rate | — | 11.8% |
| LMArena Expert | — | 1431 |
Multilingual Not comparable
Magistral Small: —, MiniMax-M2.1: 50.0 (#128)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| LMArena Non-English | — | 1378 |
| LMArena Chinese | — | 1430 |
| LMArena French | — | 1404 |
| LMArena German | — | 1381 |
| LMArena Japanese | — | 1287 |
| LMArena Korean | — | 1298 |
| LMArena Russian | — | 1387 |
| LMArena Spanish | — | 1397 |
Instruction Following Not comparable
Magistral Small: —, MiniMax-M2.1: 73.8 (#112)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| LMArena Instruction Following | — | 1400 |
Long Context Not comparable
Magistral Small: —, MiniMax-M2.1: 43.2 (#101)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| LMArena Longer Query | — | 1416 |
Writing & Preference Not comparable
Magistral Small: —, MiniMax-M2.1: 58.3 (#120)
| Benchmark | Magistral Small | MiniMax-M2.1 |
|---|---|---|
| LMArena Text | — | 1392 |
| LMArena Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1396 |
Frequently asked questions
Is Magistral Small better than MiniMax-M2.1?
MiniMax-M2.1 is the stronger model overall, scoring 38.9 to 30.2 on the Noometry Index.
Which is cheaper, Magistral Small or MiniMax-M2.1?
MiniMax-M2.1 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; Magistral Small lists at $0.50 and $1.50.
Is Magistral Small or MiniMax-M2.1 better for coding?
MiniMax-M2.1 scores higher on coding benchmarks: 40.4 versus 38.4 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.1 does, with 205K tokens against 128K.
How many benchmarks do Magistral Small and MiniMax-M2.1 share?
0 benchmarks have published results for both models. Magistral Small has 10 scored results on Noometry and MiniMax-M2.1 has 22.