Model comparison
Mistral 7B vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.3 to 23.0 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Mistral AISummary
- They share 20 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Mistral Medium in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 30.7.
- The biggest single-benchmark swing is MATH Level 5: 3.7% for Mistral 7B and 81.6% for Mistral Medium.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 8K.
Side by side
| Mistral 7B | Mistral Medium | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 23.0 | 36.3 |
| Released | 2023-09-27 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 8K | 262K |
| Max output | 8K | 262K |
| Input $ / M tokens | $0.25 | $1.50 |
| Output $ / M tokens | $0.25 | $7.50 |
| Results tracked | 37 | 36 |
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Category by category
Coding Mistral Medium leads
Mistral 7B: 26.4 (#326), Mistral Medium: 34.2 (#243)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Coding | 1082 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Agentic & Tool Use Not comparable
Mistral 7B: —, Mistral Medium: 28.3 (#90)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Mistral 7B: 13.1 (#336), Mistral Medium: 24.0 (#167)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1426 |
| DTBench | 42.5% | 75.5% |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 112.21 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Mistral Medium leads
Mistral 7B: 8.1 (#325), Mistral Medium: 28.1 (#245)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.3% | 32.2% |
| LMArena Math | 1085 | 1408 |
| MATH Level 5 | 3.7% | 81.6% |
| ProofBench | — | 9% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 54.4% | — |
Knowledge Mistral Medium leads
Mistral 7B: 7.4 (#311), Mistral Medium: 25.0 (#265)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| GPQA Diamond | 15.2% | 59.5% |
| LMArena Expert | 1036 | 1408 |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multimodal Not comparable
Mistral 7B: —, Mistral Medium: 35.3 (#88)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
Mistral 7B: 25.8 (#283), Mistral Medium: 52.1 (#91)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1012 | 1408 |
| LMArena Chinese | 1009 | 1447 |
| LMArena French | 1037 | 1459 |
| LMArena German | 987 | 1432 |
| LMArena Japanese | 878 | 1378 |
| LMArena Russian | 1018 | 1411 |
| LMArena Spanish | 1026 | 1433 |
| LMArena Korean | — | 1380 |
Instruction Following Mistral Medium leads
Mistral 7B: 54.2 (#280), Mistral Medium: 73.7 (#116)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1060 | 1398 |
Long Context Mistral Medium leads
Mistral 7B: 32.2 (#271), Mistral Medium: 42.9 (#114)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1060 | 1406 |
Writing & Preference Mistral Medium leads
Mistral 7B: 30.7 (#286), Mistral Medium: 60.0 (#103)
| Benchmark | Mistral 7B | Mistral Medium |
|---|---|---|
| LMArena Text | 1090 | 1424 |
| LMArena Creative Writing | 1068 | 1391 |
| LMArena Multi-Turn | 1062 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Mistral 7B better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.3 to 23.0 on the Noometry Index. Mistral 7B costs 12× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Which is cheaper, Mistral 7B or Mistral Medium?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral 7B or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 26.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 8K.
How many benchmarks do Mistral 7B and Mistral Medium share?
20 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Mistral Medium has 36.