Model comparison
GPT-5-Codex vs Qwen3.6 Flash
GPT-5-Codex and Qwen3.6 Flash score almost the same on the Noometry Index (37.9 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- Qwen3.6 Flash accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5-Codex | Qwen3.6 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 38.8 |
| Released | 2025-09-15 | 2026-04-27 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $1.25 | $0.19 |
| Output $ / M tokens | $10 | $1.13 |
| Results tracked | 3 | 13 |
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Category by category
Coding Not comparable
GPT-5-Codex: 42.4 (#103), Qwen3.6 Flash: —
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Qwen3.6 Flash: —
| Benchmark | GPT-5-Codex | Qwen3.6 Flash |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | GPT-5-Codex | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Kagi LLM Benchmark | 70.3% | — |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
Math Not comparable
GPT-5-Codex: —, Qwen3.6 Flash: 39.0 (#117)
| Benchmark | GPT-5-Codex | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
GPT-5-Codex: —, Qwen3.6 Flash: 42.1 (#100)
| Benchmark | GPT-5-Codex | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
Frequently asked questions
Is GPT-5-Codex better than Qwen3.6 Flash?
GPT-5-Codex and Qwen3.6 Flash score almost the same on the Noometry Index (37.9 vs 38.8), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-5-Codex or Qwen3.6 Flash?
Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 400K.
How many benchmarks do GPT-5-Codex and Qwen3.6 Flash share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.6 Flash has 13.