deepseek
Qwen3.5-9B vs DeepSeek V4 Flash 0731
74.2 overall · $0.190 / 1M
// qwen
Qwen3.5-9B
qwen/qwen3.5-9b
reasoningtool callingimage inputvideo input
Qwen3.5-9B costs $0.100 per 1M input tokens and $0.150 per 1M output tokens with a 262K-token context window.
A reasoning, tool-calling model from qwen, released Mar 10, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.100
- Output / 1M
- $0.150
- Context
- 262K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.100 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.150 |
| Blended price 3:1 input:output — #39 cheapest of 343 listed models | $0.112 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 32,768 tokens |
| Input modalities | text, image, video |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Mar 10, 2026 |
What Qwen3.5-9B costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $36.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $89.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $92.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $111.25/mo |
| Bulk classification 500 in / 20 out × 5M requests | $265.00/mo |
Compare Qwen3.5-9B with
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Qwen3.5-9B vs GLM 5.3 Flash
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Qwen3.5-9B FAQ
How much does Qwen3.5-9B cost?
Qwen3.5-9B lists at $0.100 per 1M input tokens and $0.150 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $89.00 at list price.
What is the context window of Qwen3.5-9B?
Qwen3.5-9B accepts up to 262,144 tokens of context and can return up to 32,768 output tokens per response.
Does Qwen3.5-9B support tool calling?
Yes — Qwen3.5-9B supports tool (function) calling and exposes extended reasoning. It accepts text, image, video input.
How does Qwen3.5-9B score on benchmarks?
LiveBench has not published a run for Qwen3.5-9B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Qwen3.5-9B?
On OpenRouter the model ID is "qwen/qwen3.5-9b". It was listed on Mar 10, 2026.
More from qwen
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.