Model comparison
Mercury 2.5 vs Mistral 7B
Mercury 2.5 is the stronger model overall, scoring 33.5 to 23.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in math, where Mercury 2.5 leads 23.3 to 8.1.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.25 / $0.25 for Mistral 7B.
- Mercury 2.5 accepts more context: 260K tokens versus 8K.
- Mistral 7B has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mistral 7B | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 33.5 | 23.0 |
| Released | 2026-09-08 | 2023-09-27 |
| Weights | Proprietary | Open |
| Context window | 260K | 8K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.04 | $0.25 |
| Output $ / M tokens | $0.15 | $0.25 |
| Results tracked | 4 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mercury 2.5 leads
Mercury 2.5: 39.5 (#156), Mistral 7B: 26.4 (#326)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| SciCode | 38.5% | — |
| BigCodeBench Instruct | — | 19.5% |
| LMArena Coding | — | 1082 |
| BigCodeBench Complete | — | 27.3% |
| ALE-Bench | 301.65 | — |
| HumanEval+ | — | 36% |
| MBPP+ | — | 42.1% |
Reasoning Mercury 2.5 leads
Mercury 2.5: 22.4 (#193), Mistral 7B: 13.1 (#336)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| CritPt | 0% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1067 |
| 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 Mercury 2.5 leads
Mercury 2.5: 23.3 (#272), Mistral 7B: 8.1 (#325)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 0.3% |
| ProofBench | 3% | — |
| LMArena Math | — | 1085 |
| MATH Level 5 | — | 3.7% |
| GSM8K | — | 54.4% |
Knowledge Not comparable
Mercury 2.5: —, Mistral 7B: 7.4 (#311)
| Benchmark | Mercury 2.5 | 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 Not comparable
Mercury 2.5: —, Mistral 7B: 25.8 (#283)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| LMArena Non-English | — | 1012 |
| LMArena Chinese | — | 1009 |
| LMArena French | — | 1037 |
| LMArena German | — | 987 |
| LMArena Japanese | — | 878 |
| LMArena Russian | — | 1018 |
| LMArena Spanish | — | 1026 |
Instruction Following Not comparable
Mercury 2.5: —, Mistral 7B: 54.2 (#280)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| LMArena Instruction Following | — | 1060 |
Long Context Not comparable
Mercury 2.5: —, Mistral 7B: 32.2 (#271)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| LMArena Longer Query | — | 1060 |
Writing & Preference Not comparable
Mercury 2.5: —, Mistral 7B: 30.7 (#286)
| Benchmark | Mercury 2.5 | Mistral 7B |
|---|---|---|
| LMArena Text | — | 1090 |
| LMArena Creative Writing | — | 1068 |
| LMArena Multi-Turn | — | 1062 |
Frequently asked questions
Is Mercury 2.5 better than Mistral 7B?
Mercury 2.5 is the stronger model overall, scoring 33.5 to 23.0 on the Noometry Index.
Which is cheaper, Mercury 2.5 or Mistral 7B?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral 7B lists at $0.25 and $0.25.
Is Mercury 2.5 or Mistral 7B better for coding?
Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Mercury 2.5 does, with 260K tokens against 8K.
How many benchmarks do Mercury 2.5 and Mistral 7B share?
0 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and Mistral 7B has 37.