qwen3-8-27b
Low-cost Chinese-language chat for batch processing, customer support, and lightweight coding.
Pricing: Input 36 credits / 1M tokens (≈ $0.18), Output 450 credits / 1M tokens (≈ $2.25).
Prices updated
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Qwen3.8 27B API
Low-cost Chinese-language chat for batch processing, customer support, and lightweight coding.
Recommended uses
Batch classification, extraction, summaries, and Chinese customer-service replies. Use Flash for inexpensive output, 27B for a dense model, or 35B A3B for sparse expert inference.
Context, tools, and reasoning
Catalog context: 1,048,575 tokens; default provider: 262,144; maximum output: 235,929. Supports tools, tool_choice, structured output, and optional reasoning (enabled by default). Context limits depend on the selected upstream provider.
Pricing
Per 1M tokens: input 36 credits; output 450 credits. Rates follow upstream cost × the admin chat markup. Cached input uses its upstream discount; reasoning tokens count as output. Final charges follow actual upstream usage, rounded up to whole credits.
API usage
Send model qwen3-8-27b and an OpenAI-style messages array to POST /v1/chat/completions. Use stream: true for SSE; pass tools and tool_choice for tool calls.
| Input | 36 credits 1M tokens≈ $0.18 |
| Output | 450 credits 1M tokens≈ $2.25 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"qwen3-8-27b","messages":[{"role":"user","content":"Hello"}]}'