Model comparison
GPT-5.2 Codex vs Qwen3.5 122B-A10B
GPT-5.2 Codex and Qwen3.5 122B-A10B score almost the same on the Noometry Index (42.2 vs 41.6), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5.2 Codex scores higher in 1 category and Qwen3.5 122B-A10B in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.2 Codex leads 45.4 to 38.8.
- Qwen3.5 122B-A10B is cheaper at $0.40 / $3.20 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 262K.
- Qwen3.5 122B-A10B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | Qwen3.5 122B-A10B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.2 | 41.6 |
| Released | 2025-12-18 | 2026-02-23 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.75 | $0.40 |
| Output $ / M tokens | $14 | $3.20 |
| Results tracked | 5 | 27 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.4 (#66), Qwen3.5 122B-A10B: 38.8 (#155)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena WebDev | 1339 | 1360 |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 66.3% | — |
| SciCode | — | 35.6% |
| LMArena Coding | — | 1436 |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 40.7 (#20), Qwen3.5 122B-A10B: —
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 26.4 (#121)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| NYT Connections (extended) | — | 51.7% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 51.2% |
| LMArena Hard Prompts | — | 1421 |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84.3% |
| LMCA | — | 32.2% |
Math Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 36.4 (#114)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Math | — | 1432 |
Knowledge Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 38.2 (#138)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| Vectara Hallucination Rate | — | 11.2% |
| LMArena Expert | — | 1431 |
Multimodal Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 39.0 (#52)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Vision | — | 1245 |
Multilingual Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 51.8 (#101)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Non-English | — | 1400 |
| LMArena Chinese | — | 1462 |
| LMArena French | — | 1442 |
| LMArena German | — | 1425 |
| LMArena Japanese | — | 1364 |
| LMArena Korean | — | 1353 |
| LMArena Russian | — | 1400 |
| LMArena Spanish | — | 1423 |
Instruction Following Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 74.0 (#109)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Instruction Following | — | 1399 |
Long Context Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 43.0 (#105)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Longer Query | — | 1410 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, Qwen3.5 122B-A10B: 60.2 (#98)
| Benchmark | GPT-5.2 Codex | Qwen3.5 122B-A10B |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1369 |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is GPT-5.2 Codex better than Qwen3.5 122B-A10B?
GPT-5.2 Codex and Qwen3.5 122B-A10B score almost the same on the Noometry Index (42.2 vs 41.6), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5.2 Codex or Qwen3.5 122B-A10B?
Qwen3.5 122B-A10B is cheaper. It lists at $0.40 per million input tokens and $3.20 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is GPT-5.2 Codex or Qwen3.5 122B-A10B better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 38.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.2 Codex and Qwen3.5 122B-A10B share?
1 benchmark has published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3.5 122B-A10B has 27.