Model comparison
GPT-5-Codex vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- Qwen3.7 Flash accepts more context: 1M tokens versus 400K.
Side by side
| GPT-5-Codex | Qwen3.7 Flash | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 37.9 | 39.9 |
| Released | 2025-09-15 | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $0.03 |
| Output $ / M tokens | $10 | $0.13 |
| Results tracked | 3 | 7 |
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Category by category
Coding Not comparable
GPT-5-Codex: 42.4 (#103), Qwen3.7 Flash: —
| Benchmark | GPT-5-Codex | Qwen3.7 Flash |
|---|---|---|
| WeirdML | 54.5% | — |
Agentic & Tool Use Not comparable
GPT-5-Codex: 31.0 (#72), Qwen3.7 Flash: —
| Benchmark | GPT-5-Codex | Qwen3.7 Flash |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | GPT-5-Codex | Qwen3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Not comparable
GPT-5-Codex: —, Qwen3.7 Flash: 38.3 (#140)
| Benchmark | GPT-5-Codex | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
Knowledge Not comparable
GPT-5-Codex: —, Qwen3.7 Flash: 48.9 (#75)
| Benchmark | GPT-5-Codex | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
Frequently asked questions
Is GPT-5-Codex better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 400K.
How many benchmarks do GPT-5-Codex and Qwen3.7 Flash share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Qwen3.7 Flash has 7.