minimax
Qwen3.5-27B vs MiniMax M3
67.3 overall · $0.525 / 1M
// qwen
Qwen3.5-27B
qwen/qwen3.5-27b
reasoningtool callingimage inputvideo input
Qwen3.5-27B costs $0.195 per 1M input tokens and $1.56 per 1M output tokens with a 262K-token context window.
A reasoning, tool-calling model from qwen, released Feb 25, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.195
- Output / 1M
- $1.56
- Context
- 262K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.195 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.56 |
| Blended price 3:1 input:output — #147 cheapest of 343 listed models | $0.536 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 65,536 tokens |
| Input modalities | text, image, video |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Feb 25, 2026 |
What Qwen3.5-27B 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 | $171.60/mo |
| RAG assistant 8K in / 600 out × 100K requests | $249.60/mo |
| Coding agent 40K in / 4K out × 20K requests | $280.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $312.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $643.50/mo |
Compare Qwen3.5-27B with
Benchmarked models at a similar price.
Qwen3.5-27B FAQ
How much does Qwen3.5-27B cost?
Qwen3.5-27B lists at $0.195 per 1M input tokens and $1.56 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $249.60 at list price.
What is the context window of Qwen3.5-27B?
Qwen3.5-27B accepts up to 262,144 tokens of context and can return up to 65,536 output tokens per response.
Does Qwen3.5-27B support tool calling?
Yes — Qwen3.5-27B supports tool (function) calling and exposes extended reasoning. It accepts text, image, video input.
How does Qwen3.5-27B score on benchmarks?
LiveBench has not published a run for Qwen3.5-27B 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 Qwen3.5-27B?
On OpenRouter the model ID is "qwen/qwen3.5-27b". It was listed on Feb 25, 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.