Qwen3.6 27B vs Gemini 3.5 Flash Lite
63.9 overall · $0.850 / 1M
// qwen
Qwen3.6 27B
qwen/qwen3.6-27b
reasoningtool callingimage inputvideo inputprompt caching
Qwen3.6 27B costs $0.320 per 1M input tokens and $2.70 per 1M output tokens with a 262K-token context window.
A reasoning, tool-calling model from qwen, released Apr 27, 2026. On LiveBench it scores 64.0 overall — #53 of 55 benchmarked models — and ranks highest in data analysis (#40).
- Input / 1M
- $0.320
- Output / 1M
- $2.70
- Context
- 262K
- LiveBench overall
- 64.0 · #53
Specs and pricing
| Input price USD per 1M prompt tokens | $0.320 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $2.70 |
| Blended price 3:1 input:output — #145 most expensive of 343 listed models | $0.915 |
| Cached input read Blank means not priced separately — not free | $0.150 |
| Cache write | — |
| Context window | 262,144 tokens |
| Max output | 262,140 tokens |
| Input modalities | text, image, video |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Apr 27, 2026 |
Benchmarks by category
LiveBench scores out of 100, with Qwen3.6 27B's rank among the 55 benchmarked models listed here. Run: qwen3.6-27b.
Language#54 of 55
63.3
$0.0375 measured per point
What Qwen3.6 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 | $280.56/mo |
| RAG assistant 8K in / 600 out × 100K requests | $350.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $376.80/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $514.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $985.00/mo |
Compare Qwen3.6 27B with
The benchmarked models closest to it on overall score.
deepseek
Qwen3.6 27B vs DeepSeek V4 Flash 0423
65.5 overall · $0.061 / 1M
x-ai
Qwen3.6 27B vs SpaceXAI: Grok 4.3
62.2 overall · $1.56 / 1M
openai
Qwen3.6 27B vs GPT-5.4 Mini
66.4 overall · $1.69 / 1M
minimax
Qwen3.6 27B vs MiniMax M3
67.3 overall · $0.525 / 1M
nvidia
Qwen3.6 27B vs Nemotron 3 Ultra
67.4 overall · $1.05 / 1M
Qwen3.6 27B FAQ
How much does Qwen3.6 27B cost?
Qwen3.6 27B lists at $0.320 per 1M input tokens and $2.70 per 1M output tokens, with cached input reads at $0.150 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $350.00 at list price.
What is the context window of Qwen3.6 27B?
Qwen3.6 27B accepts up to 262,144 tokens of context and can return up to 262,140 output tokens per response.
Does Qwen3.6 27B support tool calling?
Yes — Qwen3.6 27B supports tool (function) calling and exposes extended reasoning. It accepts text, image, video input.
How does Qwen3.6 27B score on benchmarks?
On LiveBench release 2026-06-25 (run: qwen3.6-27b), Qwen3.6 27B scores 64.0 overall, ranking #53 of 55 benchmarked models.
What is the API model ID for Qwen3.6 27B?
On OpenRouter the model ID is "qwen/qwen3.6-27b". It was listed on Apr 27, 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.