Model comparison
Devstral Small 2505 vs Seed 2.0 Pro
Seed 2.0 Pro is the stronger model overall, scoring 42.5 to 33.9 on the Noometry Index. Devstral Small 2505 costs 7.5× less per token, which makes it the better buy when Seed 2.0 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where Seed 2.0 Pro leads 42.9 to 38.6.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.50 / $3 for Seed 2.0 Pro.
- Seed 2.0 Pro accepts more context: 256K tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.
Side by side
| Devstral Small 2505 | Seed 2.0 Pro | |
|---|---|---|
| Provider | Mistral AI | ByteDance Seed |
| Noometry Index | 33.9 | 42.5 |
| Released | 2025-05-07 | 2026-02-14 |
| Weights | Open | Proprietary |
| Context window | 128K | 256K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.10 | $0.50 |
| Output $ / M tokens | $0.30 | $3 |
| Results tracked | 4 | 20 |
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Category by category
Coding Seed 2.0 Pro leads
Devstral Small 2505: 38.6 (#160), Seed 2.0 Pro: 42.9 (#84)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| LMArena Coding | — | 1472 |
Reasoning Seed 2.0 Pro leads
Devstral Small 2505: 19.1 (#243), Seed 2.0 Pro: 23.1 (#167)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 28.4% |
| CritPt | 0% | — |
| Thematic Generalization | — | 57.1% |
| LMArena Hard Prompts | — | 1453 |
Math Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 36.5 (#110)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Math | — | 1440 |
Knowledge Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 39.6 (#119)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Expert | — | 1440 |
Multimodal Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 40.8 (#34)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Vision | — | 1275 |
Multilingual Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 54.8 (#37)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Non-English | — | 1442 |
| LMArena Chinese | — | 1490 |
| LMArena French | — | 1470 |
| LMArena German | — | 1443 |
| LMArena Japanese | — | 1408 |
| LMArena Korean | — | 1412 |
| LMArena Russian | — | 1450 |
| LMArena Spanish | — | 1460 |
Instruction Following Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 74.7 (#86)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Instruction Following | — | 1414 |
Long Context Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 43.6 (#85)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Longer Query | — | 1428 |
Writing & Preference Not comparable
Devstral Small 2505: —, Seed 2.0 Pro: 63.0 (#66)
| Benchmark | Devstral Small 2505 | Seed 2.0 Pro |
|---|---|---|
| LMArena Text | — | 1448 |
| LMArena Creative Writing | — | 1406 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is Devstral Small 2505 better than Seed 2.0 Pro?
Seed 2.0 Pro is the stronger model overall, scoring 42.5 to 33.9 on the Noometry Index. Devstral Small 2505 costs 7.5× 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, Devstral Small 2505 or Seed 2.0 Pro?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Seed 2.0 Pro lists at $0.50 and $3.
Is Devstral Small 2505 or Seed 2.0 Pro better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 42.9 versus 38.6 in the Noometry coding category.
Which has the bigger context window?
Seed 2.0 Pro does, with 256K tokens against 128K.
How many benchmarks do Devstral Small 2505 and Seed 2.0 Pro share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and Seed 2.0 Pro has 20.