AI model comparison
Qwen3 235B A22B Thinking 2507 vs Qwen3 235B A22B Instruct 2507
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
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.
- Input / 1M
- $0.09
- Output / 1M
- $0.55
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 235B A22B Instruct 2507
5.8x cheaper for a typical chat
Higher intelligence score
Qwen3 235B A22B Thinking 2507
12.7 vs 12 on Artificial Analysis
Larger context window
Qwen3 235B A22B Instruct 2507
262K 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 250712.7Qwen3 235B A22B Instruct 250712Coding index
Qwen3 235B A22B Thinking 250722.1Qwen3 235B A22B Instruct 2507Not availableAgentic index
Qwen3 235B A22B Thinking 25071.3Qwen3 235B A22B Instruct 2507Not availablePricing
Qwen3 235B A22B Thinking 2507 vs Qwen3 235B A22B Instruct 2507 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 235B A22B Thinking 2507 | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Input tokensPer 1M tokens | $0.45 | $0.09 |
| Output tokensPer 1M tokens | $3.50 | $0.55 |
| Cached input (read)Per 1M tokens | Not available | Not available |
| Cache writePer 1M tokens | Not available | Not available |
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$2.65Qwen3 235B A22B Instruct 2507$0.46Coding task
30K in, 4K out
Qwen3 235B A22B Thinking 2507$27.50Qwen3 235B A22B Instruct 2507$4.90Long document summary
150K in, 2K out
Qwen3 235B A22B Thinking 2507$74.50Qwen3 235B A22B Instruct 2507$14.60Specs
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 | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Context window | 128K tokens | 262K tokens |
| Max output | 16K tokens | 16K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 25, 2025 | July 21, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 235B A22B Thinking 2507 | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | 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.
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Our take
Qwen3 235B A22B Instruct 2507 is 5.8x cheaper for a typical chat. Qwen3 235B A22B Thinking 2507 scores higher on the Artificial Analysis Intelligence Index (12.7 vs 12). Qwen3 235B A22B Instruct 2507 has the larger context window (262K 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 Qwen3 235B A22B Instruct 2507 cheaper?
Qwen3 235B A22B Instruct 2507 is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 235B A22B Instruct 2507 costs $0.09 per 1M input tokens and $0.55 per 1M output tokens, while Qwen3 235B A22B Thinking 2507 costs $0.45 per 1M input tokens and $3.50 per 1M output tokens.
Which has a bigger context window, Qwen3 235B A22B Thinking 2507 or Qwen3 235B A22B Instruct 2507?
Qwen3 235B A22B Instruct 2507 supports up to 262K tokens of context, compared with 128K for Qwen3 235B A22B Thinking 2507.
Is Qwen3 235B A22B Thinking 2507 smarter than Qwen3 235B A22B Instruct 2507?
On the Artificial Analysis Intelligence Index, Qwen3 235B A22B Thinking 2507 scores 12.7 and Qwen3 235B A22B Instruct 2507 scores 12, 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 Qwen3 235B A22B Instruct 2507 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 Qwen3 235B A22B Instruct 2507 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 235B A22B Thinking 2507 and Qwen3 235B A22B Instruct 2507 at the same time. Compare the answers side by side and keep the best one.