qwen

qwen3.8-flash-next

Ultra-efficient multimodal model with elite coding from 6B active parameters.

qwen 256K context ★ Featured

Value rank

#1 of 21

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

kimi-k3
59.7
glm-5.2
52.6

Coding index

kimi-k3
76.2
glm-5.2
68.8

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$0.20
Cache read price$0.05
Output price$0.50
Context window256K tokens
Intelligence / coding index55.8 / 73.1
GPQA / MMLU-Pro92% / -

Or consider

Close alternatives in the catalogue.

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-flash-next",
    messages=[{"role": "user", "content": "Hello"}],
)

Benchmark data from the Artificial Analysis Intelligence Index v4.1, measured independently. Pricing live from the TensorX platform. All inference on EU-sovereign infrastructure with zero data retention.