deepseek
Qwen3 32B vs DeepSeek V4 Flash 0731
74.2 overall · $0.190 / 1M
// qwen
Qwen3 32B
qwen/qwen3-32b
reasoningtool calling
Qwen3 32B costs $0.080 per 1M input tokens and $0.280 per 1M output tokens with a 131K-token context window.
A reasoning, tool-calling model from qwen, released Apr 28, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.080
- Output / 1M
- $0.280
- Context
- 131K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.080 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.280 |
| Blended price 3:1 input:output — #52 cheapest of 343 listed models | $0.130 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 131,072 tokens |
| Max output | 16,384 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2025-03-31 |
| Listed | Apr 28, 2025 |
What Qwen3 32B 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 | $41.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $80.80/mo |
| Coding agent 40K in / 4K out × 20K requests | $86.40/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $101.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $228.00/mo |
Compare Qwen3 32B with
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81.1 overall · $0.200 / 1M
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Qwen3 32B vs GLM 5.3 Flash
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deepseek
Qwen3 32B vs DeepSeek V4 Flash 0423
65.5 overall · $0.061 / 1M
deepseek
Qwen3 32B vs DeepSeek V4 Flash Vision Exp
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Qwen3 32B FAQ
How much does Qwen3 32B cost?
Qwen3 32B lists at $0.080 per 1M input tokens and $0.280 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $80.80 at list price.
What is the context window of Qwen3 32B?
Qwen3 32B accepts up to 131,072 tokens of context and can return up to 16,384 output tokens per response.
Does Qwen3 32B support tool calling?
Yes — Qwen3 32B supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does Qwen3 32B score on benchmarks?
LiveBench has not published a run for Qwen3 32B 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 32B?
On OpenRouter the model ID is "qwen/qwen3-32b". It was listed on Apr 28, 2025.
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.