Qwen: Qwen3.8 Max
qwen3.8-max
Qwen3.8 Max costs $2.60 per million input tokens and $7.80 per million output tokens, supports 991K context, and is available through the OpenAI-compatible API.
Qwen3.8 Max is Qwen's 2.4T-parameter flagship model for coding, knowledge work, full-stack development, data analysis, and long-running agent workflows in non-thinking mode. It supports text, image and PDF input, tool calling, structured output, and a near-million-token context window.
Modalities
Text + Image → Text
Input / output price
$2.60 / $7.80 per 1M
Context
991K · max output 66K
Capabilities
Pricing
Billed per token actually used and deducted from your credits.
| Item | USD per 1M tokens |
|---|---|
| Input | $2.60 |
| Output | $7.80 |
| Cached input | $0.325 |
Calculator
Drag the sliders to estimate what this model will cost.
- Per request
- $0.0140
- Per day
- $7.02
- Per month (30 days)
- $210.60
Qwen3.8 Max: input $2.6/M · output $7.8/M · cached input $0.325/M
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "qwen3.8-max", "max_tokens": 800,
"messages": [{"role": "user", "content": "…"}]}'Code samples
OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to qwen3.8-max.
curl https://api.geniusrelaygpt.com/v1/chat/completions \
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"stream": true,
"messages": [{"role": "user", "content": "Hello"}]
}'Use it in a client: Cursor · Cline · SillyTavern · Codex
Parameters
Common OpenAI parameters can be passed as-is.
temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseedFAQ
- How is Qwen3.8 Max billed?
- Input is $2.60 and output is $7.80 per million tokens; cached input is $0.325. The charge for every request is listed in Usage Logs in the console.
- How long is the context window?
- 991K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
- Does it support streaming?
- Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.