Model comparison
GPT-5.1-Codex vs Qwen2.5-VL 72B Instruct
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 29.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in agentic & tool use, where GPT-5.1-Codex leads 37.8 to 18.4.
- GPT-5.1-Codex is cheaper at $1.25 / $10 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- GPT-5.1-Codex accepts more context: 400K tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 29.4 |
| Released | 2025-11-12 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $1.25 | $2.80 |
| Output $ / M tokens | $10 | $8.40 |
| Results tracked | 6 | 6 |
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Category by category
Coding Not comparable
GPT-5.1-Codex: 41.7 (#107), Qwen2.5-VL 72B Instruct: —
| Benchmark | GPT-5.1-Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 37.8 (#32), Qwen2.5-VL 72B Instruct: 18.4 (#136)
| Benchmark | GPT-5.1-Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| OSWorld | — | 5% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen2.5-VL 72B Instruct: 20.0 (#228)
| Benchmark | GPT-5.1-Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
Math Not comparable
GPT-5.1-Codex: 29.3 (#218), Qwen2.5-VL 72B Instruct: —
| Benchmark | GPT-5.1-Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| ProofBench | 9% | — |
Multimodal Not comparable
GPT-5.1-Codex: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)
| Benchmark | GPT-5.1-Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen2.5-VL 72B Instruct?
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 29.4 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Qwen2.5-VL 72B Instruct?
GPT-5.1-Codex is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5.1-Codex and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.