OpenAI o4-minivsQwen3 30B A3B Thinking 2507
Qwen3 30B A3B Thinking 2507 is cheaper than OpenAI o4-mini at $0.071/M vs $1.1/M input tokens.
| Spec | OpenAI o4-mini | Qwen3 30B A3B Thinking 2507 |
|---|---|---|
| Input price | $1.1/M tokens | $0.071/M tokens |
| Output price | $4.4/M tokens | $0.285/M tokens |
| Context window | — | 262K tokens |
| Weights | Closed | Open |
| Free API (OpenRouter) | No | No |
| Released | Apr 2025 | Aug 2025 |
Our Verdict
Qwen3 30B A3B Thinking 2507
OpenAI o4-miniRunner-up
Not enough votes to call it. On the specs, Qwen3 30B A3B Thinking 2507 has the edge: bigger model tier, newer, bigger context window.
Qwen3 30B A3B Thinking 2507 costs 15x less per token.
Too close to call
Reviewing agent-written code?See a Brief PR report
API pricing
Cost per 1M tokens
OpenAI o4-mini
Input
$1.10
Output
$4.40
Qwen3 30B A3B Thinking 2507
Input
$0.07
15× cheaper
Output
$0.28
15× cheaper
Qwen3 30B A3B Thinking 2507 is cheaper on both: 15× input, 15× output.
Where to run it
2 hosts
OpenAI o4-mini1 host
Qwen3 30B A3B Thinking 25071 host
Per million tokens. Prices and uptime via OpenRouter, checked 11 Sep 2026.
Writing DNA
Style Comparison
Similarity
33%
Qwen3 30B A3B Thinking 2507 uses 702.7x more bold
OpenAI o4-mini
Qwen3 30B A3B Thinking 2507
73%Vocabulary52%
21wSentence Length15w
0.39Hedging0.20
0.0Bold7.0
2.0Lists4.2
0.00Emoji0.89
0.00Headings0.91
0.05Transitions0.10
Based on 17 + 28 text responses
Research
What we learned reading every model
FAQ
Common questions
Keep exploring
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