Model comparison
Mercury vs Mistral 7B
Mercury is the stronger model overall, scoring 37.6 to 23.0 on the Noometry Index.
Last verified . 8 shared benchmarks.
Mistral AISummary
- They share 8 benchmarks with published results for both. Mercury scores higher in 6 categories and Mistral 7B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Mercury leads 41.6 to 25.8.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mercury | Mistral 7B | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 37.6 | 23.0 |
| Released | — | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | — | 8K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.25 |
| Results tracked | 9 | 37 |
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Category by category
Coding Mercury leads
Mercury: 38.7 (#170), Mistral 7B: 26.4 (#326)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Coding | 1322 | 1082 |
| BigCodeBench Instruct | — | 19.5% |
| BigCodeBench Complete | — | 27.3% |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning Mercury leads
Mercury: 17.5 (#293), Mistral 7B: 13.1 (#336)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1067 |
| Kagi LLM Benchmark | 21.6% | — |
| Chess Puzzles | — | 0% |
| DTBench | — | 42.5% |
| Adversarial NLI | — | 47.1% |
| BIG-Bench Hard | — | 56.1% |
| Epoch Capabilities Index | — | 112.21 |
| HellaSwag | — | 81% |
| PIQA | — | 83% |
| WinoGrande | — | 75.3% |
Math Not comparable
Mercury: —, Mistral 7B: 8.1 (#325)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge Not comparable
Mercury: —, Mistral 7B: 7.4 (#311)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| GPQA Diamond | — | 15.2% |
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 78.6% |
| BoolQ | — | 87.4% |
| MMLU | — | 62.5% |
| OpenBookQA | — | 79.8% |
| TriviaQA | — | 75.2% |
Multilingual Mercury leads
Mercury: 41.6 (#206), Mistral 7B: 25.8 (#283)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Non-English | 1260 | 1012 |
| LMArena Chinese | — | 1009 |
| LMArena French | — | 1037 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Russian | — | 1018 |
| LMArena Spanish | — | 1026 |
Instruction Following Mercury leads
Mercury: 65.2 (#224), Mistral 7B: 54.2 (#280)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1060 |
Long Context Mercury leads
Mercury: 38.4 (#198), Mistral 7B: 32.2 (#271)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Longer Query | 1266 | 1060 |
Writing & Preference Mercury leads
Mercury: 46.2 (#221), Mistral 7B: 30.7 (#286)
| Benchmark | Mercury | Mistral 7B |
|---|---|---|
| LMArena Text | 1282 | 1090 |
| LMArena Creative Writing | 1191 | 1068 |
| LMArena Multi-Turn | 1282 | 1062 |
Frequently asked questions
Is Mercury better than Mistral 7B?
Mercury is the stronger model overall, scoring 37.6 to 23.0 on the Noometry Index.
Is Mercury or Mistral 7B better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 26.4 in the Noometry coding category.
How many benchmarks do Mercury and Mistral 7B share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Mistral 7B has 37.