Qwen3 30B A3B Instruct 2507 is cheaper than GPT-5.1-Codex-Mini at $0.2/M vs $1.5/M input tokens.
| Spec | GPT-5.1-Codex-Mini | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Input price | $1.5/M tokens | $0.2/M tokens |
| Output price | $6/M tokens | $0.8/M tokens |
| Context window | 400K tokens | 131K tokens |
| Released | Nov 2025 | Jul 2025 |
Not enough votes to call it. On the specs, GPT-5.1-Codex-Mini has the edge: bigger model tier, newer, bigger context window, major provider backing.
Qwen3 30B A3B Instruct 2507 costs 7.5x less per token.
Qwen3 30B A3B Instruct 2507 is cheaper on both — 7.5× input, 7.5× output
Qwen3 30B A3B Instruct 2507 uses 103.6x more emoji
Qwen3 30B A3B Instruct 2507 is cheaper than GPT-5.1-Codex-Mini at $0.2/M vs $1.5/M input tokens.
| Spec | GPT-5.1-Codex-Mini | Qwen3 30B A3B Instruct 2507 |
|---|---|---|
| Input price | $1.5/M tokens | $0.2/M tokens |
| Output price | $6/M tokens | $0.8/M tokens |
| Context window | 400K tokens | 131K tokens |
| Released | Nov 2025 | Jul 2025 |
Not enough votes to call it. On the specs, GPT-5.1-Codex-Mini has the edge: bigger model tier, newer, bigger context window, major provider backing.
Qwen3 30B A3B Instruct 2507 costs 7.5x less per token.
Qwen3 30B A3B Instruct 2507 is cheaper on both — 7.5× input, 7.5× output
Qwen3 30B A3B Instruct 2507 uses 103.6x more emoji