Model comparison
GPT-5.1-Codex vs Qwen3-30B-A3B
GPT-5.1-Codex and Qwen3-30B-A3B score almost the same on the Noometry Index (38.2 vs 38.5), so choose on price, context window or the category you care about most.
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 29.5.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Qwen3-30B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 38.2 | 38.5 |
| Released | 2025-11-12 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 400K | 41K |
| Max output | 128K | 16K |
| Input $ / M tokens | $1.25 | $0.12 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 6 | 32 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.7 (#107), Qwen3-30B-A3B: 37.0 (#188)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LMArena Coding | — | 1416 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 37.8 (#32), Qwen3-30B-A3B: 29.5 (#75)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 21.6 (#193)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMArena Hard Prompts | — | 1398 |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |
Math Qwen3-30B-A3B leads
GPT-5.1-Codex: 29.3 (#218), Qwen3-30B-A3B: 36.0 (#133)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| ProofBench | 9% | — |
| LMArena Math | — | 1394 |
Knowledge Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 41.7 (#96)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1395 |
Multilingual Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 49.8 (#126)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1434 |
| LMArena French | — | 1419 |
| LMArena German | — | 1379 |
| LMArena Japanese | — | 1338 |
| LMArena Korean | — | 1333 |
| LMArena Russian | — | 1369 |
| LMArena Spanish | — | 1403 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 72.2 (#137)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1364 |
Long Context Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 31.0 (#278)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Qwen3-30B-A3B: 55.9 (#138)
| Benchmark | GPT-5.1-Codex | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1318 |
| Short-Story Creative Writing | — | 75.3% |
| LMArena Multi-Turn | — | 1378 |
Frequently asked questions
Is GPT-5.1-Codex better than Qwen3-30B-A3B?
GPT-5.1-Codex and Qwen3-30B-A3B score almost the same on the Noometry Index (38.2 vs 38.5), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.1-Codex or Qwen3-30B-A3B?
Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Qwen3-30B-A3B better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.7 versus 37.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 41K.
How many benchmarks do GPT-5.1-Codex and Qwen3-30B-A3B share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Qwen3-30B-A3B has 32.