Model comparison
Mercury 2.5 vs Mistral Small
Mistral Small has enough public results to be ranked (#238); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Mercury 2.5 scores higher in 1 category and Mistral Small in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in math, where Mercury 2.5 leads 22.4 to 15.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Mercury 2.5 accepts more context: 260K tokens versus 256K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mistral Small | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 30.2 | 33.1 |
| Released | 2026-09-08 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 260K | 256K |
| Max output | 66K | 256K |
| Input $ / M tokens | $0.04 | $0.15 |
| Output $ / M tokens | $0.15 | $0.60 |
| Results tracked | 2 | 39 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mercury 2.5: —, Mistral Small: 33.5 (#242)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| ALE-Bench | 301.65 | 497.62 |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| LMArena Coding | — | 1363 |
| BigCodeBench Complete | — | 46.6% |
Agentic & Tool Use Not comparable
Mercury 2.5: —, Mistral Small: 27.9 (#87)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Not comparable
Mercury 2.5: —, Mistral Small: 19.3 (#238)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | — | 37.8% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| LMArena Hard Prompts | — | 1336 |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Mercury 2.5 leads
Mercury 2.5: 22.4, Mistral Small: 15.4 (#287)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| ProofBench | 3% | — |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| MATH Level 5 | — | 46.8% |
Knowledge Not comparable
Mercury 2.5: —, Mistral Small: 30.9 (#214)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1293 |
| MMLU | — | 68.7% |
Multimodal Not comparable
Mercury 2.5: —, Mistral Small: 32.9 (#91)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Not comparable
Mercury 2.5: —, Mistral Small: 45.7 (#164)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| LMArena Non-English | — | 1315 |
| LMArena Chinese | — | 1342 |
| LMArena French | — | 1337 |
| LMArena German | — | 1341 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1260 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Not comparable
Mercury 2.5: —, Mistral Small: 66.6 (#204)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| LiveBench Instruction Following | — | 63.7% |
| LMArena Instruction Following | — | 1310 |
Long Context Not comparable
Mercury 2.5: —, Mistral Small: 40.4 (#151)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| LMArena Longer Query | — | 1327 |
Writing & Preference Not comparable
Mercury 2.5: —, Mistral Small: 52.6 (#165)
| Benchmark | Mercury 2.5 | Mistral Small |
|---|---|---|
| LMArena Text | — | 1338 |
| LMArena Creative Writing | — | 1304 |
| LMArena Multi-Turn | — | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Mercury 2.5 better than Mistral Small?
Mistral Small has enough public results to be ranked (#238); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, Mercury 2.5 or Mistral Small?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Small lists at $0.15 and $0.60.
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 share?
1 benchmark has published results for both models. Mercury 2.5 has 2 scored results on Noometry and Mistral Small has 39.