Model comparison
GPT-5-Codex vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 2 categories, but none of those gaps is larger than the uncertainty.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 131K.
- Qwen3-Next 80B-A3B Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 43.0 |
| Released | 2025-09-15 | 2025-09 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $1.25 | $0.50 |
| Output $ / M tokens | $10 | $2 |
| Results tracked | 3 | 25 |
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Category by category
Coding Too close to call
GPT-5-Codex: 42.4 (#103), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1440 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning Too close to call
GPT-5-Codex: 30.9 (#83), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 66.7% |
| LMArena Hard Prompts | — | 1428 |
Math Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
GPT-5-Codex: —, Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | GPT-5-Codex | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is GPT-5-Codex better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Qwen3-Next 80B-A3B Instruct better for coding?
They score almost the same on coding (42.4 vs 42.5); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 131K.
How many benchmarks do GPT-5-Codex and Qwen3-Next 80B-A3B Instruct share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.