Qwen3.8 27B
Qwen3.8 27B is a reasoning model from Qwen released on Aug 14, 2026. It reads text, images and video and writes text, with a 262K token context window and up to 33K tokens per reply.
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It costs $0.45 per million input tokens and $3.20 per million output tokens. Cached input bills at $0.05, 89% less than fresh input.
It supports tool calling, structured JSON output and prompt caching, and its weights are open, so you can host it yourself.
45 providers serve it, including Deep Infra, Hugging Face and Novita AI. The lowest input price is $0.039 per million tokens at Chutes.
On the Artificial Analysis Intelligence Index it scores 33.7, which places it at number 22 among the 43 models I track with independent scores.
- Modalities
- In / out price
- $0.45 / $3.20 per 1M
- Context
- 262K
- Max output
- 33K
- Released
- Aug 14, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Qwen3.8 27B pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.45 / 1M tokens | |
|---|---|---|
| Output | $3.20 / 1M tokens | |
| Cached input (read) | $0.05 / 1M tokens | 89% off input |
Qwen3.8 27B providers
45 providers serve it, including Deep Infra, Hugging Face and Novita AI. The lowest input price is $0.039 per million tokens at Chutes. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.
| Provider | Input /M | Output /M | Cache read /M | Context | Max output |
|---|---|---|---|---|---|
| Deep Infra | $0.20 | $2.50 | $0.05 | 262K | 33K |
| Hugging Face | $0.40 | $3 | – | 262K | 33K |
| Novita AI | $0.42 | $3 | $0.085 | 1M | 131K |
| Cloudflare Workers AI | $0.45 | $3.20 | $0.05 | 262K | 262K |
| Nebius Token Factory | $0.45 | $3 | $0.45 | 262K | 262K |
| OVHcloud AI Endpoints | $0.47 | $3.19 | – | 262K | 262K |
| Vercel AI Gateway | $0.50 | $3 | $0.10 | 1M | 131K |
| Scaleway | $0.684 | $3.76 | $0.137 | 262K | 33K |
| Groq | $0.80 | $4 | – | 131K | 16K |
| Cerebras | $0.99 | $1.49 | $0.99 | 131K | 41K |
| Chutes | $0.039 | $1.25 | $0.0039 | 262K | 66K |
| NEAR AI Cloud | $0.04 | $1.35 | $0.018 | 262K | 33K |
Showing 12 of 45 providers: the lab first, then the major clouds, then the cheapest resellers.
What Qwen3.8 27B costs per month
Pick a workload close to yours or type your own volumes.
Independent benchmarks
Measured by third parties, not reported by Qwen. Each links to its source and shows the date I checked it.
A composite of 10 independent evaluations (agents 30%, coding 20%, scientific reasoning 20%, general 30%), run by Artificial Analysis on each model, version 4.3.2.
Artificial Analysis, checked Oct 10, 2026
Human preference: people compare two anonymous answers and pick the better one. Ratings from the Text Arena overall board, style control on.
Arena (formerly LMArena), checked Oct 10, 2026
Abstract reasoning on visual puzzles the model has not seen, semi private set. Hard to memorise, so it tracks reasoning more than knowledge.
ARC Prize, checked Oct 10, 2026
Median output tokens per second measured by Artificial Analysis on the provider API, for the same model setting as its index score.
Artificial Analysis, checked Oct 10, 2026
Benchmarks Qwen reports (6)
- terminal-bench-2.1 (Terminal Bench 2.1 (Terminus))73%
- swe-bench-pro (SWE-bench Pro, Claude Code harness, temp 1.0, top_p 0.95, 256K context, Qwen's refined task set)61.7%
- gpqa-diamond (GPQA Diamond)89.2%
- hle-no-tools (HLE, judged by GPT-4o)30.8%
- livecodebench (LiveCodeBench v6)90.3%
- osworld-verified (OSWorld-Verified)84.3%
Labs pick their own settings and harnesses, so compare these only within one lab.
Supported request parameters
What you can set when you call Qwen3.8 27B through an OpenAI compatible API.
- Tools
tools - Structured outputs
structured_outputs - Reasoning
reasoning - Temperature
temperature
Alternatives to Qwen3.8 27B
Models that take the same inputs and call tools, closest in price, cheaper ones first.
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by qwenMar 30, 2026$0.50/M input tokens$3/M output tokens22 providers
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- Index 25.2
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Qwen3.8 27B questions
How much does the Qwen3.8 27B API cost?
$0.45 per million input tokens and $3.20 per million output tokens, with cached input at $0.05. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Qwen3.8 27B?
262,144 tokens of input, and it can write up to 32,768 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Which providers serve Qwen3.8 27B?
45 providers serve it, including Deep Infra, Hugging Face and Novita AI. The lowest input price is $0.039 per million tokens at Chutes. Prices differ by host, so the Providers table on this page lists each one with its input and output price.
Does Qwen3.8 27B support tool calling?
Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.
Is Qwen3.8 27B open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Qwen3.8 27B released?
Aug 14, 2026.
How good is Qwen3.8 27B compared with other models?
It scores 33.7 on the Artificial Analysis Intelligence Index and 1438 on the Arena text leaderboard. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.
Building on Qwen3.8 27B?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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