Model · Alibaba

Qwen3.8 Flash

Qwen3.8 Flash is served by Alibaba through OpenRouter. It provides 1M tokens of context and supports text, vision, video inputs.

Snapshot 2026-10-16 qwen/qwen3.8-flash

Context window

1M tokens

Input / 1M tokens

$0.150

Output / 1M tokens

$0.470

Key facts

Provider	Alibaba
OpenRouter ID	`qwen/qwen3.8-flash`
Modalities	Text, Vision, Video
Best for	Budget, Long Context, Multimodal

Source openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST

Best-fit workloads

Best for long context

Large context window for documents and transcripts.

Best for budget

Low input/output cost for high-volume workloads.

Best multimodal

Handles images, files, audio or video inputs.

Cost estimates

These examples use the 2026-10-16 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.

Workload	Input	Output	Estimated cost
Quick test	20,000	5,000	$0.005
Product chat month	500,000	125,000	$0.134
Document batch	5,000,000	1,000,000	$1.22

Strengths

✓ Low-latency multimodal processing
✓ Good default for high-volume classification
✓ Strong value for image and video intake

Limitations

! Less suitable for deep multi-step agent planning
! Complex code generation may trail larger models

OpenRouter API quickstart

Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.

cURL

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3.8-flash",
    "messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
    "max_tokens": 500
  }'

JavaScript / TypeScript

const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen/qwen3.8-flash",
    messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
    max_tokens: 500,
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

How to evaluate Qwen3.8 Flash

Run five real tasks from your product, not generic demo prompts.
Record token usage, latency and output quality.
Estimate cost using your real input/output mix.
Compare it against one model with a similar price and one stronger model.

Compare models View on OpenRouter ↗

Qwen3.8 Flash FAQ

What is Qwen3.8 Flash?

Qwen3.8 Flash is a Alibaba model available through OpenRouter. It supports text, vision, video inputs and is suited for budget, long context, multimodal workloads.

How much does Qwen3.8 Flash cost on OpenRouter?

The 2026-10-16 snapshot lists $0.150 per 1M input tokens and $0.470 per 1M output tokens. Verify current pricing on OpenRouter before production.

How large is Qwen3.8 Flash's context window?

Qwen3.8 Flash offers 1M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.

Head-to-head comparisons

Qwen3.8 Flash vs Google Gemini 3.7 Flash

Qwen3.8 Flash is a strong low-cost multimodal option for image/video intake. Gemini 3.7 Flash is better when audio, files and a polished multimodal stack matter more than token cost.

OpenAI GPT-5.6 Luna vs Qwen3.8 Flash

GPT-5.6 Luna is better for latency-sensitive agent and coding workflows. Qwen3.8 Flash is better for cost-sensitive multimodal and video intake.

Pricing and context data are based on a 2026-10-16 snapshot. Provider limits can change; always verify on OpenRouter before production.