Model comparison
Mercury 2.5 vs Mistral Medium 3.5
Mistral Medium 3.5 has enough public results to be ranked (#151); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Mistral Medium 3.5 leads 36.4 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 260K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 30.2 | 39.6 |
| Released | 2026-09-08 | — |
| Weights | Proprietary | Open |
| Context window | 260K | 262K |
| Max output | 66K | 210K |
| Input $ / M tokens | $0.04 | $1.50 |
| Output $ / M tokens | $0.15 | $7.50 |
| Results tracked | 2 | 22 |
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Category by category
Coding Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 35.7 (#208)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena WebDev | — | 1263 |
| LMArena Coding | — | 1461 |
| ALE-Bench | 301.65 | — |
Reasoning Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 16.6 (#290)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | — | 41.4% |
| NYT Connections (extended) | — | 12.9% |
| LMArena Hard Prompts | — | 1436 |
| Epoch Capabilities Index | — | 141.42 |
Math Mistral Medium 3.5 leads
Mercury 2.5: 22.4, Mistral Medium 3.5: 36.4 (#113)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | — | 1432 |
Knowledge Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 39.3 (#123)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | — | 1431 |
Multimodal Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 37.6 (#64)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 52.1 (#93)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1443 |
| LMArena French | — | 1448 |
| LMArena German | — | 1453 |
| LMArena Korean | — | 1387 |
| LMArena Russian | — | 1396 |
| LMArena Spanish | — | 1406 |
Instruction Following Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 74.7 (#87)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | — | 1414 |
Long Context Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 43.2 (#101)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | — | 1414 |
Writing & Preference Not comparable
Mercury 2.5: —, Mistral Medium 3.5: 58.6 (#113)
| Benchmark | Mercury 2.5 | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | — | 1421 |
| LMArena Creative Writing | — | 1372 |
| EQ-Bench 4 | — | 993 |
| LMArena Multi-Turn | — | 1423 |
Frequently asked questions
Is Mercury 2.5 better than Mistral Medium 3.5?
Mistral Medium 3.5 has enough public results to be ranked (#151); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, Mercury 2.5 or Mistral Medium 3.5?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 260K.
How many benchmarks do Mercury 2.5 and Mistral Medium 3.5 share?
0 benchmarks have published results for both models. Mercury 2.5 has 2 scored results on Noometry and Mistral Medium 3.5 has 22.