Model comparison
Seed 2.0 Pro vs Qwen3-Coder 480B-A35B Instruct
Seed 2.0 Pro is the stronger model overall, scoring 42.5 to 37.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
ByteDance Seed
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Seed 2.0 Pro scores higher in 7 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Seed 2.0 Pro leads 63.0 to 55.5.
- Seed 2.0 Pro is cheaper at $0.50 / $3 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 256K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | ByteDance Seed | Alibaba (Qwen) |
| Noometry Index | 42.5 | 37.7 |
| Released | 2026-02-14 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 256K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.50 | $1.50 |
| Output $ / M tokens | $3 | $7.50 |
| Results tracked | 20 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Seed 2.0 Pro leads
Seed 2.0 Pro: 42.9 (#84), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1472 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Seed 2.0 Pro: 23.1 (#167), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 28.4% | — |
| Thematic Generalization | 57.1% | — |
Math Seed 2.0 Pro leads
Seed 2.0 Pro: 36.5 (#110), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1440 | 1364 |
Knowledge Seed 2.0 Pro leads
Seed 2.0 Pro: 39.6 (#119), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1440 | 1337 |
Multimodal Not comparable
Seed 2.0 Pro: 40.8 (#34), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1275 | — |
Multilingual Seed 2.0 Pro leads
Seed 2.0 Pro: 54.8 (#37), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1442 | 1345 |
| LMArena Chinese | 1490 | 1356 |
| LMArena French | 1470 | 1394 |
| LMArena German | 1443 | 1324 |
| LMArena Japanese | 1408 | 1309 |
| LMArena Korean | 1412 | 1307 |
| LMArena Russian | 1450 | 1367 |
| LMArena Spanish | 1460 | 1360 |
Instruction Following Seed 2.0 Pro leads
Seed 2.0 Pro: 74.7 (#86), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1414 | 1356 |
Long Context Seed 2.0 Pro leads
Seed 2.0 Pro: 43.6 (#85), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1428 | 1379 |
Writing & Preference Seed 2.0 Pro leads
Seed 2.0 Pro: 63.0 (#66), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Seed 2.0 Pro | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1448 | 1356 |
| LMArena Creative Writing | 1406 | 1333 |
| LMArena Multi-Turn | 1441 | 1365 |
Frequently asked questions
Is Seed 2.0 Pro better than Qwen3-Coder 480B-A35B Instruct?
Seed 2.0 Pro is the stronger model overall, scoring 42.5 to 37.7 on the Noometry Index.
Which is cheaper, Seed 2.0 Pro or Qwen3-Coder 480B-A35B Instruct?
Seed 2.0 Pro is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Seed 2.0 Pro or Qwen3-Coder 480B-A35B Instruct better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 42.9 versus 36.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 256K.
How many benchmarks do Seed 2.0 Pro and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.