Model comparison
Mercury 2 vs Mistral Medium
Mercury 2 is the stronger model overall, scoring 39.1 to 36.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
Mistral AISummary
- They share 16 benchmarks with published results for both. Mercury 2 scores higher in 1 category and Mistral Medium in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mercury 2 leads 36.2 to 25.0.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 12.3% for Mercury 2 and 22.7% for Mistral Medium.
- Mercury 2 is cheaper at $0.25 / $0.75 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 128K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mercury 2 | Mistral Medium | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 39.1 | 36.3 |
| Released | 2026-02-20 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 128K | 262K |
| Max output | 50K | 262K |
| Input $ / M tokens | $0.25 | $1.50 |
| Output $ / M tokens | $0.75 | $7.50 |
| Results tracked | 17 | 36 |
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Category by category
Coding Too close to call
Mercury 2: 33.5 (#255), Mistral Medium: 34.2 (#243)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| SciCode | 38.7% | 40.2% |
| WeirdML | 43.2% | 43.7% |
| LMArena Coding | 1391 | 1434 |
| ALE-Bench | 785.58 | 763.98 |
| FrontierCode | — | 8% |
| LMArena WebDev | 1171 | — |
Agentic & Tool Use Not comparable
Mercury 2: —, Mistral Medium: 28.3 (#90)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Too close to call
Mercury 2: 23.8 (#170), Mistral Medium: 24.0 (#167)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| CritPt | 0.8% | 0% |
| LMArena Hard Prompts | 1362 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math Not comparable
Mercury 2: —, Mistral Medium: 28.1 (#245)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LMArena Math | — | 1408 |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Mercury 2 leads
Mercury 2: 36.2 (#172), Mistral Medium: 25.0 (#265)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| Vectara Hallucination Rate | 12.3% | 22.7% |
| LMArena Expert | 1358 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
Multimodal Not comparable
Mercury 2: —, Mistral Medium: 35.3 (#88)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
Mercury 2: 46.6 (#157), Mistral Medium: 52.1 (#91)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1331 | 1408 |
| LMArena Chinese | 1417 | 1447 |
| LMArena Russian | 1304 | 1411 |
| LMArena French | — | 1459 |
| LMArena German | — | 1432 |
| LMArena Japanese | — | 1378 |
| LMArena Korean | — | 1380 |
| LMArena Spanish | — | 1433 |
Instruction Following Mistral Medium leads
Mercury 2: 70.2 (#165), Mistral Medium: 73.7 (#116)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1329 | 1398 |
Long Context Mistral Medium leads
Mercury 2: 40.5 (#154), Mistral Medium: 42.9 (#114)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1330 | 1406 |
Writing & Preference Mistral Medium leads
Mercury 2: 53.8 (#155), Mistral Medium: 60.0 (#103)
| Benchmark | Mercury 2 | Mistral Medium |
|---|---|---|
| LMArena Text | 1355 | 1424 |
| LMArena Creative Writing | 1289 | 1391 |
| LMArena Multi-Turn | 1358 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Mercury 2 better than Mistral Medium?
Mercury 2 is the stronger model overall, scoring 39.1 to 36.3 on the Noometry Index.
Which is cheaper, Mercury 2 or Mistral Medium?
Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mercury 2 or Mistral Medium better for coding?
They score almost the same on coding (33.5 vs 34.2); test both on your own repository before choosing.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 128K.
How many benchmarks do Mercury 2 and Mistral Medium share?
16 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and Mistral Medium has 36.