Model comparison
Mercury vs Mistral Large
Mercury is the stronger model overall, scoring 37.6 to 31.9 on the Noometry Index.
Last verified . 8 shared benchmarks.
Mistral AISummary
- They share 8 benchmarks with published results for both. Mercury scores higher in 5 categories and Mistral Large in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 40.7.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mercury | Mistral Large | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 37.6 | 31.9 |
| Released | — | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 9 | 51 |
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Category by category
Coding Mercury leads
Mercury: 38.7 (#170), Mistral Large: 34.3 (#240)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Coding | 1322 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Mercury: —, Mistral Large: 28.6 (#89)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Mercury leads
Mercury: 17.5 (#293), Mistral Large: 15.8 (#310)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1257 |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 21.6% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Not comparable
Mercury: —, Mistral Large: 18.2 (#291)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Mercury: —, Mistral Large: 30.1 (#230)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Mercury leads
Mercury: 41.6 (#206), Mistral Large: 40.0 (#219)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Non-English | 1260 | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Mistral Large leads
Mercury: 65.2 (#224), Mistral Large: 67.9 (#191)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1239 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context Too close to call
Mercury: 38.4 (#198), Mistral Large: 38.3 (#199)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1266 | 1261 |
Writing & Preference Mercury leads
Mercury: 46.2 (#221), Mistral Large: 40.7 (#242)
| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Text | 1282 | 1266 |
| LMArena Creative Writing | 1191 | 1243 |
| LMArena Multi-Turn | 1282 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Mercury better than Mistral Large?
Mercury is the stronger model overall, scoring 37.6 to 31.9 on the Noometry Index.
Is Mercury or Mistral Large better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 34.3 in the Noometry coding category.
How many benchmarks do Mercury and Mistral Large share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Mistral Large has 51.