Model comparison
GPT-5.1-Codex vs Qwen3-1.7B
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 26.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where GPT-5.1-Codex leads 30.3 to 16.3.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Qwen3-1.7B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 26.6 |
| Released | 2025-11-12 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 4 |
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Category by category
Coding Not comparable
GPT-5.1-Codex: 41.9 (#116), Qwen3-1.7B: —
| Benchmark | GPT-5.1-Codex | Qwen3-1.7B |
|---|---|---|
| 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: 38.0 (#33), Qwen3-1.7B: 24.7 (#115)
| Benchmark | GPT-5.1-Codex | Qwen3-1.7B |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| Berkeley Function Calling Leaderboard | — | 28.4% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen3-1.7B: 19.2 (#267)
| Benchmark | GPT-5.1-Codex | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | — | 0% |
Math GPT-5.1-Codex leads
GPT-5.1-Codex: 30.3 (#235), Qwen3-1.7B: 16.3 (#294)
| Benchmark | GPT-5.1-Codex | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| ProofBench | 9% | — |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen3-1.7B: 19.6 (#278)
| Benchmark | GPT-5.1-Codex | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen3-1.7B?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 26.6 on the Noometry Index.
How many benchmarks do GPT-5.1-Codex and Qwen3-1.7B share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen3-1.7B has 4.