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Qwen Flash

qwenqwen/qwen-flash

Ultra-low-cost Qwen tier — steep discount on both directions.

qwen-flash is the cheapest commercial Qwen tier on Bailian. Same OpenAI-compatible surface, same 1M context, but priced for the bulk-processing end of the workload spectrum — $0.07 input / $0.50 output per MTok.

Treat it as the right default for background jobs and asynchronous pipelines: log enrichment, embedding pre-processing, large-scale rewriting, or any workload where you measure cost per million requests instead of per call.

Lowest commercial price
$0.07 input / $0.50 output per MTok — the floor of the Qwen commercial line.
1M context retained
Same long-context capability as qwen-turbo / qwen-plus — no chunking required for most jobs.
Bulk-friendly
Designed to absorb high-RPS batch traffic. Great default for offline pipelines.
Dual-region routing
Selector picks bailian-cn or bailian-sg per request based on cost.
When to use
Offline batch jobs, log enrichment, large-scale rewriting, tagging, embedding pre-processing — anywhere quality is acceptable and cost per million requests is the binding constraint.
When not to use
User-facing chat where reasoning quality matters, complex coding, or anything with measurable downstream business impact — use qwen-plus or above.
Pricing: $0.07 input / $0.50 output per MTok. TheRouter routes to the cheaper of bailian-cn / bailian-sg per request.
Context Length
1.0M
Max Output
33K
Input Priceper 1M tokens
$0.084/ 1M tokens
Output Priceper 1M tokens
$0.600/ 1M tokens

Modalities

text→text

Pricing Breakdown

TypeRate
Input$0.084 / 1M tokens
Output$0.600 / 1M tokens

Supported Parameters

temperaturemax_tokenstop_ptoolstool_choiceresponse_formatstop

API Usage Examples

Use the global api.therouter.ai endpoint shown below for new integrations; the legacy China accelerated endpoint is retired.

cURL
curl https://api.therouter.ai/v1/chat/completions   -H "Content-Type: application/json"   -H "Authorization: Bearer $THE_ROUTER_API_KEY"   -d '{
    "model": "qwen/qwen-flash",
    "messages": [
      {"role": "user", "content": "Summarize the key points from this input."}
    ]
  }'
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