Model comparison
Mercury 2.5 vs Mistral Small 3.2
Mercury 2.5 is the stronger model overall, scoring 33.5 to 31.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where Mercury 2.5 leads 22.4 to 18.1.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.0938 / $0.25 for Mistral Small 3.2.
- Mercury 2.5 accepts more context: 260K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mistral Small 3.2 | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 33.5 | 31.2 |
| Released | 2026-09-08 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 260K | 256K |
| Max output | 66K | 16K |
| Input $ / M tokens | $0.04 | $0.0938 |
| Output $ / M tokens | $0.15 | $0.25 |
| Results tracked | 4 | 6 |
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Category by category
Coding Not comparable
Mercury 2.5: 39.5 (#156), Mistral Small 3.2: —
Reasoning Mercury 2.5 leads
Mercury 2.5: 22.4 (#193), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Mercury 2.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| Epoch Capabilities Index | — | 131.74 |
Math Mistral Small 3.2 leads
Mercury 2.5: 23.3 (#272), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Mercury 2.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| ProofBench | 3% | — |
Knowledge Not comparable
Mercury 2.5: —, Mistral Small 3.2: 26.7 (#256)
| Benchmark | Mercury 2.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
Writing & Preference Not comparable
Mercury 2.5: —, Mistral Small 3.2: 45.0 (#224)
| Benchmark | Mercury 2.5 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is Mercury 2.5 better than Mistral Small 3.2?
Mercury 2.5 is the stronger model overall, scoring 33.5 to 31.2 on the Noometry Index.
Which is cheaper, Mercury 2.5 or Mistral Small 3.2?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Small 3.2 lists at $0.0938 and $0.25.
Which has the bigger context window?
Mercury 2.5 does, with 260K tokens against 256K.
How many benchmarks do Mercury 2.5 and Mistral Small 3.2 share?
0 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and Mistral Small 3.2 has 6.