Qwen's sparse 35B/3B-active multimodal model for efficient coding and agents.
| Provider | Context | Price · in / out |
|---|---|---|
| ggroqNo trainingNo training on your data. Zero-retention available | 32K | $0.44 / $0.74/MTok |
routing.strategyproviders.onlyproviders.excludeproviders.ordermax_cost_usddata_policydocs →Collecting — charts appear after two days.
curl https://www.ninjachat.ai/api/v1/chat/completions \
-H "Authorization: Bearer $NINJACHAT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwq-32b",
"messages": [{ "role": "user", "content": "Hello!" }],
"stream": true
}'Alibaba's reasoning-focused open model, strong at math.
QwQ 32B costs $0.44/M input tokens and $0.74/M output tokens.
QwQ 32B accepts text and returns text.
POST /api/v1/chat/completions with `"model": "qwq-32b"`.
Qwen 3.6 35B A3B, Qwen 3.7 Plus, Qwen 3.8 2.4T A95B, Qwen 3.8 27B, Qwen 3.8 Max, Qwen3 Next 80B A3B.
Qwen's open-weight 2.4T-parameter sparse-MoE flagship with 95B active parameters.
Qwen's efficient 27B model on independently operated DeepInfra and GMI rails.
Qwen's 2.4T-parameter sparse-MoE frontier model for autonomous long-horizon work.