Model comparison
GPT-5.2 Codex vs Qwen3.6 35B-A3B
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.2 on the Noometry Index. Qwen3.6 35B-A3B costs 8.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. GPT-5.2 Codex scores higher in 2 categories and Qwen3.6 35B-A3B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.2 Codex leads 40.7 to 21.9.
- The biggest single-benchmark swing is Terminal-Bench: 66.5% for GPT-5.2 Codex and 23% for Qwen3.6 35B-A3B.
- Qwen3.6 35B-A3B is cheaper at $0.25 / $1.49 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.
- Qwen3.6 35B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 42.2 | 37.2 |
| Released | 2025-12-18 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.75 | $0.25 |
| Output $ / M tokens | $14 | $1.49 |
| Results tracked | 5 | 14 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.4 (#66), Qwen3.6 35B-A3B: 36.7 (#190)
| Benchmark | GPT-5.2 Codex | Qwen3.6 35B-A3B |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| SciCode | — | 35.8% |
| WeirdML | — | 34.5% |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use GPT-5.2 Codex leads
GPT-5.2 Codex: 40.7 (#20), Qwen3.6 35B-A3B: 21.9 (#126)
| Benchmark | GPT-5.2 Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | 66.5% | 23% |
Reasoning Not comparable
GPT-5.2 Codex: —, Qwen3.6 35B-A3B: 27.2 (#112)
| Benchmark | GPT-5.2 Codex | Qwen3.6 35B-A3B |
|---|---|---|
| NYT Connections (extended) | — | 41.6% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 26% |
| Mystery Game Puzzles | — | 22% |
| DTBench | — | 73.9% |
| LMCA | — | 29.7% |
| Surface Evolver Bench | — | 44.4% |
| Epoch Capabilities Index | — | 143.92 |
Math Not comparable
GPT-5.2 Codex: —, Qwen3.6 35B-A3B: 37.9 (#90)
| Benchmark | GPT-5.2 Codex | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
Knowledge Not comparable
GPT-5.2 Codex: —, Qwen3.6 35B-A3B: 51.4 (#63)
| Benchmark | GPT-5.2 Codex | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
Frequently asked questions
Is GPT-5.2 Codex better than Qwen3.6 35B-A3B?
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 37.2 on the Noometry Index. Qwen3.6 35B-A3B costs 8.6× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Codex or Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B is cheaper. It lists at $0.25 per million input tokens and $1.49 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is GPT-5.2 Codex or Qwen3.6 35B-A3B better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 36.7 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 Qwen3.6 35B-A3B share?
1 benchmark has published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Qwen3.6 35B-A3B has 14.