Model comparison
DeepSeek-R1-Distill-Qwen-1.5B vs Seed 2.0 Pro
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 26.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
DeepSeek
ByteDance SeedSummary
- The widest gap is in knowledge, where Seed 2.0 Pro leads 40.2 to 16.0.
- DeepSeek-R1-Distill-Qwen-1.5B has downloadable open weights; the other is API-only.
Side by side
| DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro | |
|---|---|---|
| Provider | DeepSeek | ByteDance Seed |
| Noometry Index | 26.1 | 43.2 |
| Released | 2025-01-20 | 2026-02-14 |
| Weights | Open | Proprietary |
| Context window | — | 256K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.50 |
| Output $ / M tokens | — | $3 |
| Results tracked | 5 | 20 |
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Category by category
Coding Seed 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 21.8 (#336), Seed 2.0 Pro: 43.5 (#86)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| BigCodeBench Instruct | 7% | — |
| LMArena Coding | — | 1472 |
| BigCodeBench Complete | 7.9% | — |
Reasoning Seed 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 19.2 (#262), Seed 2.0 Pro: 24.1 (#165)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| NYT Connections (extended) | — | 28.4% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 57.1% |
| LMArena Hard Prompts | — | 1453 |
Math Seed 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 23.0 (#274), Seed 2.0 Pro: 39.3 (#108)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 21.4% | — |
| LMArena Math | — | 1439 |
Knowledge Seed 2.0 Pro leads
DeepSeek-R1-Distill-Qwen-1.5B: 16.0 (#290), Seed 2.0 Pro: 40.2 (#122)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| GPQA Diamond | 33.6% | — |
| LMArena Expert | — | 1440 |
Multimodal Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Seed 2.0 Pro: 41.5 (#35)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| LMArena Vision | — | 1274 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Seed 2.0 Pro: 54.5 (#39)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| LMArena Non-English | — | 1441 |
| LMArena Chinese | — | 1489 |
| LMArena French | — | 1471 |
| LMArena German | — | 1442 |
| LMArena Japanese | — | 1408 |
| LMArena Korean | — | 1411 |
| LMArena Russian | — | 1449 |
| LMArena Spanish | — | 1460 |
Instruction Following Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Seed 2.0 Pro: 74.5 (#91)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| LMArena Instruction Following | — | 1414 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Seed 2.0 Pro: 43.6 (#90)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| LMArena Longer Query | — | 1428 |
Writing & Preference Not comparable
DeepSeek-R1-Distill-Qwen-1.5B: —, Seed 2.0 Pro: 62.9 (#69)
| Benchmark | DeepSeek-R1-Distill-Qwen-1.5B | Seed 2.0 Pro |
|---|---|---|
| LMArena Text | — | 1448 |
| LMArena Creative Writing | — | 1406 |
| LMArena Multi-Turn | — | 1441 |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-1.5B better than Seed 2.0 Pro?
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 26.1 on the Noometry Index.
Is DeepSeek-R1-Distill-Qwen-1.5B or Seed 2.0 Pro better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 21.8 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-1.5B and Seed 2.0 Pro share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-1.5B has 5 scored results on Noometry and Seed 2.0 Pro has 20.