What Qwen3.7-Max costs for real workloads
| Workload | Estimated cost |
|---|---|
| Support chatbot: 100K messages | $425.00 |
| RAG search: 10K queries with 6K-token context | $187.50 |
| Batch summarization: 1,000 long documents | $57.50 |
| Coding agent: 100 tasks, 50K context x 20 turns | $75.00 |
Chatbot: 800 input + 300 output tokens per message. RAG: 6,000 + 500 per query. Summarization: 20,000 + 1,000 per document. Coding agent: 20 turns per task over a 50K-token context, with 95% of input served from cache where the model supports it.
Qwen3.7-Max vs similarly priced models
| Model | Provider | Input / 1M | Output / 1M | Cached / 1M | Blended |
|---|---|---|---|---|---|
| grok-4.7 | xAI | $2.00 | $6.00 | $0.50 | $3.00 |
| Gemini 2.5 Pro | $1.25 | $10.00 | $0.12 | $3.44 | |
| Qwen3.7-Max | Together AI | $2.50 | $7.50 | $0.50 | $3.75 |
| gpt-6.1-sol | OpenAI | $2.00 | $10.00 | $0.10 | $4.00 |
| Claude Sonnet 5.5 | Anthropic | $2.00 | $10.00 | $0.10 | $4.00 |
| Gemini 3 Pro | $2.00 | $10.00 | $0.10 | $4.00 | |
| Gemini 4 Argon | $2.00 | $10.00 | $0.10 | $4.00 | |
| Kimi K3.1 Pro | Together AI | $2.00 | $10.00 | $0.20 | $4.00 |
| Gemini 3.1 Pro Preview | $2.00 | $12.00 | $0.20 | $4.50 |
Other Together AI models
Qwen3.7-Max pricing FAQ
How much does the Qwen3.7-Max API cost?
Qwen3.7-Max costs $2.50 per million input tokens and $7.50 per million output tokens on Together AI, with cached input at $0.50 per million. Prices as of November 8, 2026.
How much does Qwen3.7-Max cost for 1,000 requests?
At 1,000 input and 500 output tokens per request, 1,000 requests cost about $6.25.
Does Qwen3.7-Max have a prompt caching discount?
Yes. Cached input is $0.50 per million tokens, 5x cheaper than fresh input. Workloads that resend the same context, like agents and chat with long system prompts, pay mostly the cached rate.
Is Qwen3.7-Max expensive compared to other LLM APIs?
It ranks #60 cheapest of 76 models we track on a blended price (3 input tokens per output token) of $3.75 per million tokens.
Picking a model for production?
Describe your workload and the Planner estimates monthly token spend across every model we track.