Model comparison
GPT-5-Codex vs Qwen3.6 35B-A3B
GPT-5-Codex and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.3 vs 37.2), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. GPT-5-Codex scores higher in 3 categories and Qwen3.6 35B-A3B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5-Codex leads 30.8 to 21.9.
- The biggest single-benchmark swing is Terminal-Bench: 44.3% for GPT-5-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 $1.25 / $10 for GPT-5-Codex.
- GPT-5-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-Codex | Qwen3.6 35B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.3 | 37.2 |
| Released | 2025-09-15 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.25 | $0.25 |
| Output $ / M tokens | $10 | $1.49 |
| Results tracked | 3 | 14 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 41.9 (#100), Qwen3.6 35B-A3B: 36.7 (#190)
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 30.8 (#66), Qwen3.6 35B-A3B: 21.9 (#126)
| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Terminal-Bench | 44.3% | 23% |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.0 (#80), Qwen3.6 35B-A3B: 27.2 (#112)
| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| 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-Codex: —, Qwen3.6 35B-A3B: 37.9 (#90)
| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 20.4% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
Knowledge Not comparable
GPT-5-Codex: —, Qwen3.6 35B-A3B: 51.4 (#63)
| Benchmark | GPT-5-Codex | Qwen3.6 35B-A3B |
|---|---|---|
| GPQA Diamond | — | 84.8% |
Frequently asked questions
Is GPT-5-Codex better than Qwen3.6 35B-A3B?
GPT-5-Codex and Qwen3.6 35B-A3B score almost the same on the Noometry Index (37.3 vs 37.2), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5-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-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Qwen3.6 35B-A3B better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 36.7 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5-Codex and Qwen3.6 35B-A3B share?
2 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.6 35B-A3B has 14.