Qwen · Frontier
Qwen3.7 Max Thinking
Qwen3.7 Max with thinking mode enabled for deeper reasoning, coding, and long-running tool workflows.
- Reasoning
- Tools
- Input
- Text
- Output
- Text
- Reasoning effort
- none · high
- Discovery tier
- Frontier
Pricing
USD per 1M tokens- Input
- $1.47
- Output
- $4.43
- Cache read
- $0.30
- Cache write
- $1.84
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
Side by side
Qwen3.7 Max Thinking compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Qwen3.7 Max ThinkingQwenThis model | CyberHeabsyheabsyRemove | |
|---|---|---|
| Provider | Qwen | heabsy |
| Discovery tier | Frontier | Frontier |
| Added | May 21, 2026 | Sep 27, 2026 |
| Limits | ||
| Context window | 1M | 1.05MBest |
| Max output | 65.54K | 65.54K |
| Average output | — | 1.3K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $1.47Best | $1.50 |
| Output | $4.43Best | $4.50 |
| Cache read | $0.30 | $0.28Best |
| Cache write | $1.84 | — |
| Performance | ||
| Throughput | — | 85.5 tok/s |
| Time to first token | — | 2.2 s |
| Request success (24h) | — | 99.0% |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Reasoning effort | none, high | none, low, medium, high |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen/qwen3.7-max:thinking",
"reasoning_effort": "none",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="qwen/qwen3.7-max:thinking",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Qwen
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