Qwen: Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
Anyone in the Project can @-mention Qwen: Qwen3.7 Max with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- Long-context document analysis under budget
- Multi-file codebase reasoning
- Legal or compliance document review
- Research synthesis across many papers
- Cost-sensitive enterprise deployments
Strengths
The 1M-token context window matches the largest available models while pricing sits 40-50% below GPT-4o and Claude Sonnet 4.5. This makes it viable for workflows that previously required chunking or RAG pipelines — ingest an entire repository or legal brief in one call. Output pricing at $4.42/Mtok keeps generation costs reasonable even for long summaries. Qwen models historically perform well on multilingual tasks, particularly Chinese-English pairs, which matters for global teams.
Trade-offs
Public benchmark coverage lags behind OpenAI, Anthropic, and Google models, so you're working with less third-party validation of reasoning quality. Anecdotal reports suggest Qwen models can be more literal in instruction-following — less likely to infer unstated user intent compared to Claude or GPT-4o. The proprietary license limits transparency into training data and fine-tuning options. For mission-critical tasks requiring maximum reliability, you may prefer a model with deeper benchmark history.
Specifications
- Provider
- qwen
- Category
- llm
- Context length
- 1,000,000 tokens
- Max output
- 131,072 tokens
- Modalities
- text
- License
- proprietary
- Released
- 2026-05-21
Pricing
- Input
- $1.48/Mtok
- Output
- $4.42/Mtok
- Model ID
qwen/qwen3.7-max
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
| Provider | Context | Input | Output | P50 latency | Throughput | 30d uptime |
|---|---|---|---|---|---|---|
| qwen | 1000k | $1.25/Mtok | $3.75/Mtok | — | — | — |
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Codebase Architecture Summary
You have access to a complete codebase. Identify the core architectural patterns, list the main modules and their dependencies, and flag any circular dependencies or anti-patterns you observe.Open in a Project →
Multi-Document Research Synthesis
I've provided 40 research papers on the same topic. Extract the consensus findings, highlight where studies disagree, and identify gaps no paper addresses.Open in a Project →
Legal Contract Cross-Reference
Review these five contracts for conflicting terms, missing standard clauses, and any obligations that appear in one but not others. Summarize discrepancies by section.Open in a Project →
Long Transcript Q&A
This is a transcript of a 3-hour board meeting. Answer the following questions with direct quotes and timestamps: [list your questions here].Open in a Project →
Cost-Optimized Data Extraction
Extract all mentions of financial figures, dates, and responsible parties from this 200-page compliance report. Return results as a JSON array with page references.Open in a Project →
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