AI model comparison
Qwen3 235B A22B Thinking 2507 vs o3 Mini
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks.
- Input / 1M
- $0.45
- Output / 1M
- $3.50
- Context
- 128K
OpenAI
o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding.
- Input / 1M
- $1.10
- Output / 1M
- $4.40
- Context
- 200K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 235B A22B Thinking 2507
1.7x cheaper for a typical chat
Higher intelligence score
Qwen3 235B A22B Thinking 2507
12.7 vs 12.5 on Artificial Analysis
Larger context window
o3 Mini
200K vs 128K tokens
Newer release
Qwen3 235B A22B Thinking 2507
Released July 25, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3 235B A22B Thinking 250712.7o3 Mini12.5Coding index
Qwen3 235B A22B Thinking 250722.1o3 MiniNot availableAgentic index
Qwen3 235B A22B Thinking 25071.3o3 MiniNot availablePricing
Qwen3 235B A22B Thinking 2507 vs o3 Mini API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 235B A22B Thinking 2507 | o3 Mini |
|---|---|---|
| Input tokensPer 1M tokens | $0.45 | $1.10 |
| Output tokensPer 1M tokens | $3.50 | $4.40 |
| Cached input (read)Per 1M tokens | Not available | $0.55 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3 235B A22B Thinking 2507$2.65o3 Mini$4.40Coding task
30K in, 4K out
Qwen3 235B A22B Thinking 2507$27.50o3 Mini$50.60$34.10 cachedLong document summary
150K in, 2K out
Qwen3 235B A22B Thinking 2507$74.50o3 Mini$173.80$91.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3 235B A22B Thinking 2507 | o3 Mini |
|---|---|---|
| Context window | 128K tokens | 200K tokens |
| Max output | 16K tokens | 100K tokens |
| Input types | Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 25, 2025 | January 31, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 235B A22B Thinking 2507 | o3 Mini |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3 235B A22B Thinking 2507View full model details- Qwen3 235B A22B Thinking 2507 vs Gemini 2.5 Flash
- Qwen3 235B A22B Thinking 2507 vs Mistral Medium 3.5
- Qwen3 235B A22B Thinking 2507 vs Nova 2 Lite
- Qwen3 235B A22B Thinking 2507 vs R1 0528
- Qwen3 235B A22B Thinking 2507 vs Command A
- Qwen3 235B A22B Thinking 2507 vs GLM 4.5
- Qwen3 235B A22B Thinking 2507 vs GPT-4.1
- Qwen3 235B A22B Thinking 2507 vs Kimi K2 0711
- Qwen3 235B A22B Thinking 2507 vs Qwen3 235B A22B Instruct 2507
- Qwen3 235B A22B Thinking 2507 vs Qwen3 Coder 480B A35B
- Qwen3 235B A22B Thinking 2507 vs Sonar Reasoning Pro
- Qwen3 235B A22B Thinking 2507 vs o3 Mini High
- Qwen3 235B A22B Thinking 2507 vs Qwen3 VL 235B A22B Instruct
o3 MiniView full model details- o3 Mini vs Claude Haiku 4.5
- o3 Mini vs o4 Mini
- o3 Mini vs Gemini 2.5 Flash
- o3 Mini vs Mistral Medium 3.5
- o3 Mini vs R1 0528
- o3 Mini vs Command A
- o3 Mini vs GLM 4.5
- o3 Mini vs GPT-4.1
- o3 Mini vs Kimi K2 0711
- o3 Mini vs o1-pro
- o3 Mini vs Sonar Reasoning Pro
- o3 Mini vs o3 Mini High
- o3 Mini vs GPT-4.1 Mini
- o3 Mini vs GPT-4o (2024-11-20)
Our take
Qwen3 235B A22B Thinking 2507 is 1.7x cheaper for a typical chat. Qwen3 235B A22B Thinking 2507 scores higher on the Artificial Analysis Intelligence Index (12.7 vs 12.5). o3 Mini has the larger context window (200K vs 128K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3 235B A22B Thinking 2507 or o3 Mini cheaper?
Qwen3 235B A22B Thinking 2507 is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 235B A22B Thinking 2507 costs $0.45 per 1M input tokens and $3.50 per 1M output tokens, while o3 Mini costs $1.10 per 1M input tokens and $4.40 per 1M output tokens.
Which has a bigger context window, Qwen3 235B A22B Thinking 2507 or o3 Mini?
o3 Mini supports up to 200K tokens of context, compared with 128K for Qwen3 235B A22B Thinking 2507.
Is Qwen3 235B A22B Thinking 2507 smarter than o3 Mini?
On the Artificial Analysis Intelligence Index, Qwen3 235B A22B Thinking 2507 scores 12.7 and o3 Mini scores 12.5, putting Qwen3 235B A22B Thinking 2507 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 235B A22B Thinking 2507 and o3 Mini at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 235B A22B Thinking 2507 and o3 Mini answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 235B A22B Thinking 2507 and o3 Mini at the same time. Compare the answers side by side and keep the best one.