AI model comparison
Qwen3.5-9B vs Qwen3 32B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3.5-9B
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture.
Qwen3.5-9B is scheduled to be retired on October 21, 2026. Consider Qwen3.8 27B instead.
- Input / 1M
- $0.10
- Output / 1M
- $0.15
- Context
- 262K
Qwen
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.
- Input / 1M
- $0.08
- Output / 1M
- $0.28
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-9B
1.1x cheaper for a typical chat
Higher intelligence score
Qwen3.5-9B
13.3 vs 8.6 on Artificial Analysis
Larger context window
Qwen3.5-9B
262K vs 131K tokens
Newer release
Qwen3.5-9B
Released March 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-9B13.3Qwen3 32B8.6Coding index
Qwen3.5-9B23.5Qwen3 32B15.3Agentic index
Qwen3.5-9BNot availableQwen3 32B0.9Pricing
Qwen3.5-9B vs Qwen3 32B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-9B | Qwen3 32B |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.08 |
| Output tokensPer 1M tokens | $0.15 | $0.28 |
| 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
Qwen3.5-9B$0.27Qwen3 32B$0.30Coding task
30K in, 4K out
Qwen3.5-9B$3.60Qwen3 32B$3.52Long document summary
150K in, 2K out
Qwen3.5-9B$15.30Qwen3 32B$12.56Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-9B | Qwen3 32B |
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 33K tokens | 16K 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 | March 10, 2026 | April 28, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-9B | Qwen3 32B |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | 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.
Qwen3.5-9BView full model details- Qwen3.5-9B vs Gemini 2.5 Flash Lite
- Qwen3.5-9B vs gpt-oss-120b
- Qwen3.5-9B vs Gemma 4 31B
- Qwen3.5-9B vs Qwen3.7 Flash
- Qwen3.5-9B vs gpt-oss-20b
- Qwen3.5-9B vs GPT-5 Nano
- Qwen3.5-9B vs Qwen3 235B A22B Instruct 2507
- Qwen3.5-9B vs Mercury 2.5
- Qwen3.5-9B vs Nemotron 3.5 Lightning
- Qwen3.5-9B vs Qwen3 Coder 30B A3B Instruct
Qwen3 32BView full model details- Qwen3 32B vs Gemini 2.5 Flash Lite
- Qwen3 32B vs Qwen3 30B A3B Instruct 2507
- Qwen3 32B vs Qwen3 Coder Next
- Qwen3 32B vs Granite 4.2 8B
- Qwen3 32B vs Llama 4 Scout
- Qwen3 32B vs Qwen3 Coder 30B A3B Instruct
- Qwen3 32B vs Qwen3 VL 30B A3B Instruct
- Qwen3 32B vs Nemotron 3 Nano 30B A3B
- Qwen3 32B vs Qwen3 14B
- Qwen3 32B vs Qwen2.5 72B Instruct
- Qwen3 32B vs Qwen3 30B A3B
- Qwen3 32B vs Nova Lite 1.0
Our take
Qwen3.5-9B is 1.1x cheaper for a typical chat. Qwen3.5-9B scores higher on the Artificial Analysis Intelligence Index (13.3 vs 8.6). Qwen3.5-9B has the larger context window (262K vs 131K 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 Qwen3.5-9B or Qwen3 32B cheaper?
Qwen3.5-9B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-9B costs $0.10 per 1M input tokens and $0.15 per 1M output tokens, while Qwen3 32B costs $0.08 per 1M input tokens and $0.28 per 1M output tokens.
Which has a bigger context window, Qwen3.5-9B or Qwen3 32B?
Qwen3.5-9B supports up to 262K tokens of context, compared with 131K for Qwen3 32B.
Is Qwen3.5-9B smarter than Qwen3 32B?
On the Artificial Analysis Intelligence Index, Qwen3.5-9B scores 13.3 and Qwen3 32B scores 8.6, putting Qwen3.5-9B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.5-9B and Qwen3 32B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.5-9B and Qwen3 32B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.5-9B and Qwen3 32B at the same time. Compare the answers side by side and keep the best one.