Model comparison
Qwen3.7 Plus vs Qwen3-Coder 480B-A35B Instruct
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 38.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Qwen3.7 Plus scores higher in 8 categories and Qwen3-Coder 480B-A35B Instruct in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 37.0.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3.7 Plus accepts more context: 1M tokens versus 262K.
- Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.
Side by side
| Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 45.3 | 38.1 |
| Released | 2026-06-02 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 131K | 66K |
| Input $ / M tokens | $0.40 | $1.50 |
| Output $ / M tokens | $1.60 | $7.50 |
| Results tracked | 32 | 25 |
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Category by category
Coding Qwen3.7 Plus leads
Qwen3.7 Plus: 36.6 (#206), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1473 | 1412 |
| FrontierCode | 10.2% | — |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| SciCode | 45.5% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Qwen3-Coder 480B-A35B Instruct leads
Qwen3.7 Plus: 21.4 (#138), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| OSWorld 2.0 | 2.8% | — |
Reasoning Qwen3.7 Plus leads
Qwen3.7 Plus: 39.3 (#59), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1460 | 1372 |
| Kagi LLM Benchmark | — | 49.5% |
| NYT Connections (extended) | 74.8% | — |
| CritPt | 9.1% | — |
| Chess Puzzles | 24% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 84% | — |
| LMCA | 37.6% | — |
| Epoch Capabilities Index | 147.37 | — |
Math Qwen3.7 Plus leads
Qwen3.7 Plus: 50.5 (#56), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1466 | 1365 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
Knowledge Qwen3.7 Plus leads
Qwen3.7 Plus: 54.9 (#51), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1467 | 1338 |
| GPQA Diamond | 87.9% | — |
Multimodal Not comparable
Qwen3.7 Plus: 41.8 (#33), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1279 | — |
| LMArena Document | 1444 | — |
Multilingual Qwen3.7 Plus leads
Qwen3.7 Plus: 54.8 (#38), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1445 | 1346 |
| LMArena Chinese | 1510 | 1357 |
| LMArena French | 1473 | 1398 |
| LMArena German | 1471 | 1325 |
| LMArena Japanese | 1413 | 1310 |
| LMArena Korean | 1415 | 1305 |
| LMArena Russian | 1457 | 1366 |
| LMArena Spanish | 1457 | 1360 |
Instruction Following Qwen3.7 Plus leads
Qwen3.7 Plus: 75.8 (#52), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1440 | 1355 |
Long Context Qwen3.7 Plus leads
Qwen3.7 Plus: 44.5 (#65), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1455 | 1378 |
Writing & Preference Qwen3.7 Plus leads
Qwen3.7 Plus: 64.3 (#56), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Qwen3.7 Plus | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1455 | 1357 |
| LMArena Creative Writing | 1439 | 1333 |
| LMArena Multi-Turn | 1460 | 1365 |
Frequently asked questions
Is Qwen3.7 Plus better than Qwen3-Coder 480B-A35B Instruct?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 38.1 on the Noometry Index.
Which is cheaper, Qwen3.7 Plus or Qwen3-Coder 480B-A35B Instruct?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Qwen3.7 Plus or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3.7 Plus scores higher on coding benchmarks: 36.6 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Plus does, with 1M tokens against 262K.
How many benchmarks do Qwen3.7 Plus and Qwen3-Coder 480B-A35B Instruct share?
17 benchmarks have published results for both models. Qwen3.7 Plus has 32 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.