AI model comparison
GPT-5 Nano 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.
OpenAI
GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.
- Input / 1M
- $0.05
- Output / 1M
- $0.40
- Context
- 400K
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
GPT-5 Nano
1.5x cheaper for a typical chat
Higher intelligence score
GPT-5 Nano
13 vs 12 on Artificial Analysis
Larger context window
GPT-5 Nano
400K vs 262K tokens
Newer release
GPT-5 Nano
Released August 7, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GPT-5 Nano vs Qwen3 235B A22B Instruct 2507 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.05 | $0.09 |
| Output tokensPer 1M tokens | $0.40 | $0.55 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.01 | 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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 400K tokens | 262K tokens |
| Max output | 128K tokens | 16K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low, Minimal | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | August 7, 2025 | July 21, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Supported | Not supported |
Our take
GPT-5 Nano is 1.5x cheaper for a typical chat. GPT-5 Nano scores higher on the Artificial Analysis Intelligence Index (13 vs 12). GPT-5 Nano has the larger context window (400K vs 262K 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 GPT-5 Nano or Qwen3 235B A22B Instruct 2507 cheaper?
GPT-5 Nano is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5 Nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens, while Qwen3 235B A22B Instruct 2507 costs $0.09 per 1M input tokens and $0.55 per 1M output tokens.
Which has a bigger context window, GPT-5 Nano or Qwen3 235B A22B Instruct 2507?
GPT-5 Nano supports up to 400K tokens of context, compared with 262K for Qwen3 235B A22B Instruct 2507.
Is GPT-5 Nano smarter than Qwen3 235B A22B Instruct 2507?
On the Artificial Analysis Intelligence Index, GPT-5 Nano scores 13 and Qwen3 235B A22B Instruct 2507 scores 12, putting GPT-5 Nano ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-5 Nano 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 GPT-5 Nano and Qwen3 235B A22B Instruct 2507 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-5 Nano and Qwen3 235B A22B Instruct 2507 at the same time. Compare the answers side by side and keep the best one.