AI model comparison
Qwen3.7 Flash vs Qwen3 30B A3B Instruct 2507
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.7 Flash
Qwen3.7 Flash is a vision-language reasoning model from Alibaba.
- Input / 1M
- $0.03
- Output / 1M
- $0.13
- Context
- 1M
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.7 Flash
2.8x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Qwen3.7 Flash
1M vs 262K tokens
Newer release
Qwen3.7 Flash
Released July 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Qwen3.7 Flash vs Qwen3 30B A3B Instruct 2507 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.03 | $0.10 |
| Output tokensPer 1M tokens | $0.13 | $0.30 |
| Cached input (read)Per 1M tokens | $0.01 | Not available |
| Cache writePer 1M tokens | $0.04 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.10 in / $0.40 out above 32K | Same rate at any length |
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 | 1M tokens | 262K tokens |
| Max output | 66K tokens | 236K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 27, 2026 | July 29, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Qwen3.7 Flash is 2.8x cheaper for a typical chat. Qwen3.7 Flash has the larger context window (1M 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 Qwen3.7 Flash or Qwen3 30B A3B Instruct 2507 cheaper?
Qwen3.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.7 Flash costs $0.03 per 1M input tokens and $0.13 per 1M output tokens, while Qwen3 30B A3B Instruct 2507 costs $0.10 per 1M input tokens and $0.30 per 1M output tokens.
Which has a bigger context window, Qwen3.7 Flash or Qwen3 30B A3B Instruct 2507?
Qwen3.7 Flash supports up to 1M tokens of context, compared with 262K for Qwen3 30B A3B Instruct 2507.
Can I use Qwen3.7 Flash and Qwen3 30B A3B Instruct 2507 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.7 Flash and Qwen3 30B A3B Instruct 2507 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.7 Flash and Qwen3 30B A3B Instruct 2507 at the same time. Compare the answers side by side and keep the best one.