The most capable model here — Alibaba's open-weight Qwen3.8, a 27B dense vision-language model. Strong across coding, professional writing, research, and long-running agent tasks, and it understands images as well as text. Its “thinking” mode can be turned on for hard problems or off for speed. Reach for it when you want top quality and don't mind paying a bit more per token.
When to choose Qwen3.8 27B
Qwen3.8 27B is Alibaba's open-weight, dense vision-language model and the all-rounder of the Tokener CA catalog. One endpoint handles plain text, screenshots, diagrams, scanned pages and photos, and it supports tool calling for coding agents.
It is a strong fit for:
Coding and code review — multi-file changes, refactors and reading unfamiliar codebases.
Agents that use tools — planning a task, calling functions and reacting to the results.
Writing and research — reports, summaries and analysis where structure and accuracy matter.
Visual understanding — reading charts, UI screenshots and documents.
Reasoning you can control
By default Qwen3.8 27B thinks before it answers, at its highest effort. Lower the effort to low or medium for everyday problems, or turn reasoning off for fast, direct replies. Reasoning tokens are billed as output tokens, so a lower effort is also the cheaper setting. The request fields are in Reasoning controls.
How it compares
For very long inputs — whole repositories, long contracts, big log files — GLM 5.3 Flash and DeepSeek V4.1 Flash offer a much larger context window. For agentic coding with a sparse model, compare Ornith 1.5 35B. For simple, high-volume text work where speed and price matter most, use Nemotron 3.5 Lightning 30B.
Latency and throughput: median of the last 10 test requests from our server.
Uptime 100.0 % · last 12 hours
Share of our automatic test requests in the last 12 hours that got a complete answer. We send them about every 30 minutes from our server to the suppliers your requests use by default; supplier timeouts and rate limits count as failures. A short outage between two checks can be missed.
Quick start
Call Qwen3.8 27B through the OpenAI-compatible API at https://a.tokener.ca/v1, or the Anthropic-compatible (Messages) API at https://a.tokener.ca (no /v1), with the model id qwen3.8:27b.
import { createOpenAICompatible } from "@ai-sdk/openai-compatible";import { streamText } from "ai";const tokener = createOpenAICompatible({ name: "tokener", baseURL: "https://a.tokener.ca/v1", apiKey: process.env.TOKENER_API_KEY,});const result = streamText({ model: tokener.chatModel("qwen3.8:27b"), messages: [{ role: "user", content: "Hello!" }],});for await (const text of result.textStream) { process.stdout.write(text);}
import osfrom anthropic import Anthropicclient = Anthropic( base_url="https://a.tokener.ca", api_key=os.environ["TOKENER_API_KEY"],)with client.messages.stream( model="qwen3.8:27b", max_tokens=4096, messages=[{"role": "user", "content": [{"type": "text", "text": "Hello!"}]}],) as stream:for text in stream.text_stream:print(text, end="")
# Point Claude Code at Tokener, then start it in your project directory.export ANTHROPIC_BASE_URL=https://a.tokener.ca # no /v1 — the tool appends itexport ANTHROPIC_AUTH_TOKEN=$TOKENER_API_KEY# your Tokener API keyexport ANTHROPIC_MODEL=qwen3.8:27b # the main modelexport ANTHROPIC_DEFAULT_HAIKU_MODEL=qwen3.8:27b # background calls — a cheaper model from /models also worksexport ANTHROPIC_SMALL_FAST_MODEL=qwen3.8:27bunset ANTHROPIC_API_KEYclaude
Other protocols
The same model, key and price are available on the OpenAI Responses and Anthropic-compatible (Messages) protocols. For the Anthropic SDKs, use the base URL https://a.tokener.ca (without /v1).
Qwen3.8 27B costs US$0.14 per 1M input tokens and US$0.65 per 1M output tokens. Cached input tokens are US$0.025 per 1M. You pay only for the tokens you use.
What is the context window of Qwen3.8 27B?
Qwen3.8 27B has a context window of 262,144 tokens. It can return up to 262,144 output tokens.
Does Qwen3.8 27B accept Image input?
Yes — Qwen3.8 27B accepts Image input in addition to text.
Can I control reasoning on Qwen3.8 27B?
Yes — Qwen3.8 27B supports these reasoning settings: Off, Low, Medium, High. The default is High. You choose it per request.
Is Qwen3.8 27B OpenAI-compatible?
Yes — call Qwen3.8 27B through Tokener's OpenAI-compatible API at https://a.tokener.ca/v1 with the model id qwen3.8:27b. Both OpenAI protocols work: Chat Completions at https://a.tokener.ca/v1/chat/completions and OpenAI Responses at https://a.tokener.ca/v1/responses. Any OpenAI-compatible client or SDK works.
Can I use Qwen3.8 27B with the Anthropic SDK?
Yes — Qwen3.8 27B is available on the Anthropic-compatible Messages API at https://a.tokener.ca/v1/messages. Point the Anthropic SDK at the base URL https://a.tokener.ca (without /v1 — the SDK appends it) and use the model id qwen3.8:27b. Which features work varies by model; see the Anthropic SDK guide at /docs/anthropic-sdk.
How do I try Qwen3.8 27B?
Create an API key, add credits, and call the endpoint with the model id qwen3.8:27b — or try Qwen3.8 27B in the Tokener Playground.