Model comparison
GPT-5.1-Codex vs Qwen Turbo
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 26.8 on the Noometry Index. Qwen Turbo costs 39× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where GPT-5.1-Codex leads 29.3 to 14.5.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- Qwen Turbo accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5.1-Codex | Qwen Turbo | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 26.8 |
| Released | 2025-11-12 | 2024-11-01 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 16K |
| Input $ / M tokens | $1.25 | $0.05 |
| Output $ / M tokens | $10 | $0.20 |
| Results tracked | 6 | 3 |
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Category by category
Coding Not comparable
GPT-5.1-Codex: 41.7 (#107), Qwen Turbo: —
| Benchmark | GPT-5.1-Codex | Qwen Turbo |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 37.8 (#32), Qwen Turbo: —
| Benchmark | GPT-5.1-Codex | Qwen Turbo |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 29.3 (#218), Qwen Turbo: 14.5 (#291)
| Benchmark | GPT-5.1-Codex | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 6.1% |
| ProofBench | 9% | — |
| MATH Level 5 | — | 56.2% |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen Turbo: 22.2 (#267)
| Benchmark | GPT-5.1-Codex | Qwen Turbo |
|---|---|---|
| GPQA Diamond | — | 41.8% |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen Turbo?
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 26.8 on the Noometry Index. Qwen Turbo costs 39× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.1-Codex or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 400K.
How many benchmarks do GPT-5.1-Codex and Qwen Turbo share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen Turbo has 3.