Model comparison
GPT-5.3 Codex vs Qwen2.5-VL 72B Instruct
GPT-5.3 Codex is the stronger model overall, scoring 45.5 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-5.3 Codex leads 47.8 to 18.4.
- Qwen2.5-VL 72B Instruct is cheaper at $2.80 / $8.40 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 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-5.3 Codex | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.5 | 29.4 |
| Released | 2026-02-05 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $1.75 | $2.80 |
| Output $ / M tokens | $14 | $8.40 |
| Results tracked | 8 | 6 |
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Category by category
Coding Not comparable
GPT-5.3 Codex: 48.5 (#51), Qwen2.5-VL 72B Instruct: —
| Benchmark | GPT-5.3 Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.3 Codex: 47.8 (#9), Qwen2.5-VL 72B Instruct: 18.4 (#136)
| Benchmark | GPT-5.3 Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| OSWorld | — | 5% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Qwen2.5-VL 72B Instruct: 20.0 (#228)
| Benchmark | GPT-5.3 Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| Epoch Capabilities Index | 156.84 | — |
Multimodal Not comparable
GPT-5.3 Codex: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)
| Benchmark | GPT-5.3 Codex | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Frequently asked questions
Is GPT-5.3 Codex better than Qwen2.5-VL 72B Instruct?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 29.4 on the Noometry Index.
Which is cheaper, GPT-5.3 Codex or Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is cheaper. It lists at $2.80 per million input tokens and $8.40 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5.3 Codex and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.