Model comparison
Mercury vs Mistral Small
Mercury is the stronger model overall, scoring 37.6 to 33.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
Mistral AISummary
- They share 9 benchmarks with published results for both. Mercury scores higher in 1 category and Mistral Small in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Small leads 52.5 to 46.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 21.6% for Mercury and 37.8% for Mistral Small.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Mercury | Mistral Small | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 37.6 | 33.4 |
| Released | — | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 256K |
| Input $ / M tokens | — | $0.15 |
| Output $ / M tokens | — | $0.60 |
| Results tracked | 9 | 39 |
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Category by category
Coding Mercury leads
Mercury: 38.7 (#170), Mistral Small: 34.0 (#247)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Coding | 1322 | 1362 |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Mercury: —, Mistral Small: 28.1 (#93)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Mistral Small leads
Mercury: 17.5 (#293), Mistral Small: 19.8 (#250)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| Kagi LLM Benchmark | 21.6% | 37.8% |
| LMArena Hard Prompts | 1285 | 1335 |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Not comparable
Mercury: —, Mistral Small: 16.4 (#293)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| LMArena Math | — | 1341 |
| MATH Level 5 | — | 46.8% |
Knowledge Not comparable
Mercury: —, Mistral Small: 31.0 (#222)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| LMArena Expert | — | 1291 |
| MMLU | — | 68.7% |
Multimodal Not comparable
Mercury: —, Mistral Small: 33.5 (#96)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Vision | — | 1142 |
Multilingual Mistral Small leads
Mercury: 41.6 (#206), Mistral Small: 45.5 (#169)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Non-English | 1260 | 1315 |
| LMArena Chinese | — | 1340 |
| LMArena French | — | 1337 |
| LMArena German | — | 1340 |
| LMArena Japanese | — | 1275 |
| LMArena Korean | — | 1259 |
| LMArena Russian | — | 1324 |
| LMArena Spanish | — | 1346 |
Instruction Following Mistral Small leads
Mercury: 65.2 (#224), Mistral Small: 66.4 (#209)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1239 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Mistral Small leads
Mercury: 38.4 (#198), Mistral Small: 40.4 (#156)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1266 | 1327 |
Writing & Preference Mistral Small leads
Mercury: 46.2 (#221), Mistral Small: 52.5 (#171)
| Benchmark | Mercury | Mistral Small |
|---|---|---|
| LMArena Text | 1282 | 1338 |
| LMArena Creative Writing | 1191 | 1305 |
| LMArena Multi-Turn | 1282 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Mercury better than Mistral Small?
Mercury is the stronger model overall, scoring 37.6 to 33.4 on the Noometry Index.
Is Mercury or Mistral Small better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 34.0 in the Noometry coding category.
How many benchmarks do Mercury and Mistral Small share?
9 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Mistral Small has 39.