Model comparison
Mercury 2.5 vs Mistral Large 3
Mistral Large 3 has enough public results to be ranked (#172); Mercury 2.5 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in math, where Mistral Large 3 leads 36.0 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 accepts more context: 262K tokens versus 260K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Mercury 2.5 | Mistral Large 3 | |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 30.2 | 38.6 |
| Released | 2026-09-08 | 2025-12-02 |
| Weights | Proprietary | Open |
| Context window | 260K | 262K |
| Max output | 66K | 8K |
| Input $ / M tokens | $0.04 | $0.25 |
| Output $ / M tokens | $0.15 | $0.75 |
| Results tracked | 2 | 24 |
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Category by category
Coding Not comparable
Mercury 2.5: —, Mistral Large 3: 34.1 (#230)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | — | 1230 |
| LMArena Coding | — | 1447 |
| ALE-Bench | 301.65 | — |
Reasoning Not comparable
Mercury 2.5: —, Mistral Large 3: 14.6 (#314)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |
Math Mistral Large 3 leads
Mercury 2.5: 22.4, Mistral Large 3: 36.0 (#131)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | — | 1415 |
Knowledge Not comparable
Mercury 2.5: —, Mistral Large 3: 35.5 (#173)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |
Multimodal Not comparable
Mercury 2.5: —, Mistral Large 3: 37.6 (#65)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1222 |
Multilingual Not comparable
Mercury 2.5: —, Mistral Large 3: 52.6 (#79)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1412 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1437 |
Instruction Following Not comparable
Mercury 2.5: —, Mistral Large 3: 74.1 (#104)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1402 |
Long Context Not comparable
Mercury 2.5: —, Mistral Large 3: 43.1 (#102)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |
Writing & Preference Not comparable
Mercury 2.5: —, Mistral Large 3: 60.2 (#100)
| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1385 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |
Frequently asked questions
Is Mercury 2.5 better than Mistral Large 3?
Mistral Large 3 has enough public results to be ranked (#172); Mercury 2.5 does not yet, so treat this comparison as directional.
Which is cheaper, Mercury 2.5 or Mistral Large 3?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 260K.
How many benchmarks do Mercury 2.5 and Mistral Large 3 share?
0 benchmarks have published results for both models. Mercury 2.5 has 2 scored results on Noometry and Mistral Large 3 has 24.