Model comparison
Seed 2.0 Pro vs Mistral Medium
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 36.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
ByteDance Seed
Mistral AISummary
- They share 18 benchmarks with published results for both. Seed 2.0 Pro scores higher in 9 categories and Mistral Medium in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Seed 2.0 Pro leads 40.2 to 25.0.
- Seed 2.0 Pro is cheaper at $0.50 / $3 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Mistral Medium accepts more context: 262K tokens versus 256K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Seed 2.0 Pro | Mistral Medium | |
|---|---|---|
| Provider | ByteDance Seed | Mistral AI |
| Noometry Index | 43.2 | 36.3 |
| Released | 2026-02-14 | 2023-12-11 |
| Weights | Proprietary | Open |
| Context window | 256K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.50 | $1.50 |
| Output $ / M tokens | $3 | $7.50 |
| Results tracked | 20 | 36 |
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Category by category
Coding Seed 2.0 Pro leads
Seed 2.0 Pro: 43.5 (#86), Mistral Medium: 34.2 (#243)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Coding | 1472 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| ALE-Bench | — | 763.98 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, Mistral Medium: 28.3 (#90)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Too close to call
Seed 2.0 Pro: 24.1 (#165), Mistral Medium: 24.0 (#167)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1426 |
| Kagi LLM Benchmark | — | 50% |
| NYT Connections (extended) | 28.4% | — |
| CritPt | — | 0% |
| Thematic Generalization | 57.1% | — |
| DTBench | — | 75.5% |
| LMCA | — | 26.1% |
| Surface Evolver Bench | — | 26.9% |
Math Seed 2.0 Pro leads
Seed 2.0 Pro: 39.3 (#108), Mistral Medium: 28.1 (#245)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Math | 1439 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Seed 2.0 Pro leads
Seed 2.0 Pro: 40.2 (#122), Mistral Medium: 25.0 (#265)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Expert | 1440 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| Vectara Hallucination Rate | — | 22.7% |
Multimodal Seed 2.0 Pro leads
Seed 2.0 Pro: 41.5 (#35), Mistral Medium: 35.3 (#88)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Vision | 1274 | 1172 |
Multilingual Seed 2.0 Pro leads
Seed 2.0 Pro: 54.5 (#39), Mistral Medium: 52.1 (#91)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1441 | 1408 |
| LMArena Chinese | 1489 | 1447 |
| LMArena French | 1471 | 1459 |
| LMArena German | 1442 | 1432 |
| LMArena Japanese | 1408 | 1378 |
| LMArena Korean | 1411 | 1380 |
| LMArena Russian | 1449 | 1411 |
| LMArena Spanish | 1460 | 1433 |
Instruction Following Too close to call
Seed 2.0 Pro: 74.5 (#91), Mistral Medium: 73.7 (#116)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1414 | 1398 |
Long Context Too close to call
Seed 2.0 Pro: 43.6 (#90), Mistral Medium: 42.9 (#114)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1428 | 1406 |
Writing & Preference Seed 2.0 Pro leads
Seed 2.0 Pro: 62.9 (#69), Mistral Medium: 60.0 (#103)
| Benchmark | Seed 2.0 Pro | Mistral Medium |
|---|---|---|
| LMArena Text | 1448 | 1424 |
| LMArena Creative Writing | 1406 | 1391 |
| LMArena Multi-Turn | 1441 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
Frequently asked questions
Is Seed 2.0 Pro better than Mistral Medium?
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 36.3 on the Noometry Index.
Which is cheaper, Seed 2.0 Pro or Mistral Medium?
Seed 2.0 Pro is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Seed 2.0 Pro or Mistral Medium better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 256K.
How many benchmarks do Seed 2.0 Pro and Mistral Medium share?
18 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and Mistral Medium has 36.