Models / Qwen3.8 27bID: dashscope/qwen3.8-27b
chat model by Qwen

Qwen3.8 27b

Qwen3.8-27B is Alibaba's 27-billion parameter dense foundation model featuring native vision-language understanding, flexible thinking modes, and autonomous multi-step agent execution.

Context window262.1K
Maker

Qwen

Served On

Alibaba US

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 262.1K tokens. Not ranked, no published context window: glm-5.3-prime, qwen3-235b-a22b-2507, qwen3.7-max-2026-05-17, claude-opus-5-5.

Context window

262.1K

Source: huggingface.co
Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks & Performance Rankings

Empirical intelligence benchmarks and category leaderboard placements for Qwen3.8 27b.

Core Benchmark DimensionsSource: huggingface.co
MMLUKnowledge

0%

HumanEvalCoding

0%

Latency p50TTFT

—ms

p99: —ms

ThroughputStream

—tok/s

SWE-bench: 0%

Benchmarks

Swe Bench Pro61.7
Source: huggingface.co2026-09-13
Terminal Bench 2 173.0
Source: huggingface.co2026-09-13
LMSYS Chatbot Arena (text)Rank #90 · Score 1437
Source: arena.ai · Leaderboard: 2026-09-132026-09-14

Pricing

Rates are read live

Pricing for qwen3.8-27b is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Qwen3.8 27b is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Qwen

Start building with qwen3.8-27b

One API key, three steps. Choose your tool to begin.

  1. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"
  2. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · dashscope/qwen3.8-27b
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with dashscope/qwen3.8-27b
claude --model dashscope/qwen3.8-27b