Model comparison
GPT-5.1-Codex vs Qwen-14B
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 30.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.7 to 30.6.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Qwen-14B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 30.8 |
| Released | 2025-11-12 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 18 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.7 (#107), Qwen-14B: 30.6 (#283)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| LMArena Coding | — | 1072 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 37.8 (#32), Qwen-14B: —
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen-14B: 18.7 (#255)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | — | 1027 |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 112.8 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Too close to call
GPT-5.1-Codex: 29.3 (#218), Qwen-14B: 28.7 (#224)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| ProofBench | 9% | — |
| LMArena Math | — | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen-14B: —
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual Not comparable
GPT-5.1-Codex: —, Qwen-14B: 27.7 (#270)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| LMArena Non-English | — | 1042 |
| LMArena Chinese | — | 1077 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Qwen-14B: 52.6 (#284)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
GPT-5.1-Codex: —, Qwen-14B: 31.3 (#276)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| LMArena Longer Query | — | 1029 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Qwen-14B: 27.8 (#294)
| Benchmark | GPT-5.1-Codex | Qwen-14B |
|---|---|---|
| LMArena Text | — | 1051 |
| LMArena Creative Writing | — | 1028 |
| LMArena Multi-Turn | — | 1022 |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen-14B?
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 30.8 on the Noometry Index.
Is GPT-5.1-Codex or Qwen-14B better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.7 versus 30.6 in the Noometry coding category.
How many benchmarks do GPT-5.1-Codex and Qwen-14B share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen-14B has 18.