Model comparison
Seed 2.0 Pro vs Mistral Small
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 33.4 on the Noometry Index. Mistral Small costs 4.3× less per token, which makes it the better buy when Seed 2.0 Pro's lead doesn't matter for your workload.
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 Small in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Seed 2.0 Pro leads 39.3 to 16.4.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.50 / $3 for Seed 2.0 Pro.
- Mistral Small accepts more context: 262K tokens versus 256K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Seed 2.0 Pro | Mistral Small | |
|---|---|---|
| Provider | ByteDance Seed | Mistral AI |
| Noometry Index | 43.2 | 33.4 |
| Released | 2026-02-14 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 256K | 262K |
| Max output | 128K | 256K |
| Input $ / M tokens | $0.50 | $0.15 |
| Output $ / M tokens | $3 | $0.60 |
| Results tracked | 20 | 39 |
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Category by category
Coding Seed 2.0 Pro leads
Seed 2.0 Pro: 43.5 (#86), Mistral Small: 34.0 (#247)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Coding | 1472 | 1362 |
| SciCode | — | 26.5% |
| BigCodeBench Instruct | — | 36.1% |
| LiveBench Coding | — | 36.2% |
| BigCodeBench Complete | — | 46.6% |
| ALE-Bench | — | 497.62 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, Mistral Small: 28.1 (#93)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.1% |
Reasoning Seed 2.0 Pro leads
Seed 2.0 Pro: 24.1 (#165), Mistral Small: 19.8 (#250)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1335 |
| Kagi LLM Benchmark | — | 37.8% |
| NYT Connections (extended) | 28.4% | — |
| CritPt | — | 0% |
| Thematic Generalization | 57.1% | — |
| LiveBench Reasoning | — | 44.8% |
| DTBench | — | 70.9% |
| LiveBench Data Analysis | — | 53.7% |
| LMCA | — | 20.6% |
| LiveBench | — | 44% |
Math Seed 2.0 Pro leads
Seed 2.0 Pro: 39.3 (#108), Mistral Small: 16.4 (#293)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Math | 1439 | 1341 |
| OTIS Mock AIME 2024-2025 | — | 5.8% |
| LiveBench Math | — | 39.9% |
| MATH Level 5 | — | 46.8% |
Knowledge Seed 2.0 Pro leads
Seed 2.0 Pro: 40.2 (#122), Mistral Small: 31.0 (#222)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Expert | 1440 | 1291 |
| GPQA Diamond | — | 47.5% |
| Vectara Hallucination Rate | — | 5.1% |
| MMLU | — | 68.7% |
Multimodal Seed 2.0 Pro leads
Seed 2.0 Pro: 41.5 (#35), Mistral Small: 33.5 (#96)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Vision | 1274 | 1142 |
Multilingual Seed 2.0 Pro leads
Seed 2.0 Pro: 54.5 (#39), Mistral Small: 45.5 (#169)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Non-English | 1441 | 1315 |
| LMArena Chinese | 1489 | 1340 |
| LMArena French | 1471 | 1337 |
| LMArena German | 1442 | 1340 |
| LMArena Japanese | 1408 | 1275 |
| LMArena Korean | 1411 | 1259 |
| LMArena Russian | 1449 | 1324 |
| LMArena Spanish | 1460 | 1346 |
Instruction Following Seed 2.0 Pro leads
Seed 2.0 Pro: 74.5 (#91), Mistral Small: 66.4 (#209)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Instruction Following | 1414 | 1310 |
| LiveBench Instruction Following | — | 63.7% |
Long Context Seed 2.0 Pro leads
Seed 2.0 Pro: 43.6 (#90), Mistral Small: 40.4 (#156)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Longer Query | 1428 | 1327 |
Writing & Preference Seed 2.0 Pro leads
Seed 2.0 Pro: 62.9 (#69), Mistral Small: 52.5 (#171)
| Benchmark | Seed 2.0 Pro | Mistral Small |
|---|---|---|
| LMArena Text | 1448 | 1338 |
| LMArena Creative Writing | 1406 | 1305 |
| LMArena Multi-Turn | 1441 | 1344 |
| LiveBench Language | — | 30.5% |
Frequently asked questions
Is Seed 2.0 Pro better than Mistral Small?
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 33.4 on the Noometry Index. Mistral Small costs 4.3× less per token, which makes it the better buy when Seed 2.0 Pro's lead doesn't matter for your workload.
Which is cheaper, Seed 2.0 Pro or Mistral Small?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Seed 2.0 Pro lists at $0.50 and $3.
Is Seed 2.0 Pro or Mistral Small better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 34.0 in the Noometry coding category.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 256K.
How many benchmarks do Seed 2.0 Pro and Mistral Small share?
18 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and Mistral Small has 39.