Model comparison
GPT-5.1-Codex vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 38.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Qwen3-VL 235B-A22B leads 39.0 to 30.3.
- Qwen3-VL 235B-A22B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 131K.
- Qwen3-VL 235B-A22B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 43.2 |
| Released | 2025-11-12 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $1.25 | $0.70 |
| Output $ / M tokens | $10 | $2.80 |
| Results tracked | 6 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
GPT-5.1-Codex: 41.9 (#116), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| LMArena Coding | — | 1439 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 38.0 (#33), Qwen3-VL 235B-A22B: —
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | — | 1428 |
Math Qwen3-VL 235B-A22B leads
GPT-5.1-Codex: 30.3 (#235), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| ProofBench | 9% | — |
| LMArena Math | — | 1426 |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | — | 1442 |
Multimodal Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | — | 1247 |
Multilingual Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | — | 1405 |
| LMArena Chinese | — | 1463 |
| LMArena French | — | 1452 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1394 |
| LMArena Russian | — | 1408 |
| LMArena Spanish | — | 1428 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | — | 1406 |
Long Context Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | — | 1420 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | GPT-5.1-Codex | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | — | 1420 |
| LMArena Creative Writing | — | 1366 |
| LMArena Multi-Turn | — | 1428 |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 38.6 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Qwen3-VL 235B-A22B better for coding?
They score almost the same on coding (41.9 vs 42.4); test both on your own repository before choosing.
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 Qwen3-VL 235B-A22B share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen3-VL 235B-A22B has 18.