Model comparison
gpt-oss-20b vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 32.5 on the Noometry Index. gpt-oss-20b costs 8.1× less per token, which makes it the better buy when Qwen3 Coder Next's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. gpt-oss-20b scores higher in 1 category and Qwen3 Coder Next in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3 Coder Next leads 22.4 to 19.3.
- The biggest single-benchmark swing is WeirdML: 40.9% for gpt-oss-20b and 34.4% for Qwen3 Coder Next.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- Qwen3 Coder Next accepts more context: 262K tokens versus 131K.
Side by side
| gpt-oss-20b | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 32.5 | 34.3 |
| Released | 2025-08-05 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.018 | $0.12 |
| Output $ / M tokens | $0.09 | $0.80 |
| Results tracked | 34 | 3 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| SciCode | 34.4% | 32.3% |
| WeirdML | 40.9% | 34.4% |
| LMArena Coding | 1306 | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Qwen3 Coder Next leads
gpt-oss-20b: 19.3 (#261), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| CritPt | 1.4% | 0% |
| Kagi LLM Benchmark | 53.2% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math Not comparable
gpt-oss-20b: 39.4 (#103), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
Knowledge Not comparable
gpt-oss-20b: 34.6 (#195), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
Multilingual Not comparable
gpt-oss-20b: 42.2 (#197), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1268 | — |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |
Instruction Following Not comparable
gpt-oss-20b: 61.8 (#240), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#209), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference Not comparable
gpt-oss-20b: 35.5 (#265), Qwen3 Coder Next: —
| Benchmark | gpt-oss-20b | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |
Frequently asked questions
Is gpt-oss-20b better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 32.5 on the Noometry Index. gpt-oss-20b costs 8.1× less per token, which makes it the better buy when Qwen3 Coder Next's lead doesn't matter for your workload.
Which is cheaper, gpt-oss-20b or Qwen3 Coder Next?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.
Is gpt-oss-20b or Qwen3 Coder Next better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 36.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 131K.
How many benchmarks do gpt-oss-20b and Qwen3 Coder Next share?
3 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Qwen3 Coder Next has 3.