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qwen

qwen3.8-27b

Compact 27B open sibling of Qwen3.8 Max: efficient reasoning, EU-sovereign.

qwen 256K context
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Value rank

#9 of 19

intelligence per dollar in our catalogue

Context rank

#2 tied

256K token window

Benchmarks

Independent scores by Artificial Analysis, compared with the strongest models in our catalogue.

Intelligence index

glm-5.3
44.9
kimi-k3
43.8
glm-5.3-flash
41.9
qwen3.8-2.4t-a95b
40.3
qwen3.8-27b
33.9

Coding index

kimi-k3
76.2
glm-5.3
74.8
qwen3.8-2.4t-a95b
71.8
glm-5.3-flash
71.5
qwen3.8-27b
68.1

Best for

Where this model earns its keep.

Coding and engineering Vision and image-aware tasks Prompt-cached workloads

The numbers

Pricing is live from our platform. Prices per 1M tokens, zero data retention on every request.

Input price$0.40
Cache read price$0.10
Output price$2.40
Context window256K tokens
Intelligence / coding index33.9 / 68.1
GPQA / MMLU-Pro91% / -

Or consider

Close alternatives in the catalogue.

glm-5.2

Intelligence 34 · agentic 99%

deepseek-v4-flash-0731

Intelligence 34.5 · agentic -

deepseek-v4-pro

Intelligence 36.3 · agentic -

Quick start

OpenAI-compatible. Switch in one line.

# pip install openai
client = OpenAI(base_url="https://api.tensorx.ai/v1", api_key="tsx-...")
r = client.chat.completions.create(
    model="qwen/qwen3.8-27b",
    messages=[{"role": "user", "content": "Hello"}],
)

Benchmark data from the Artificial Analysis Intelligence Index, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.