

OpenCode just quietly dropped one of the more interesting model additions to its Go subscription: Qwen3.7 Plus is now available to all Go subscribers, bringing a multimodal, 1-million-token context window model into a plan that costs $10 a month. The tweet got 3,000+ likes , a signal that the community noticed.
What is Qwen3.7 Plus, exactly?
Qwen3.7 Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its vision-language abilities while retaining full-stack, agent-level intelligence for coding, tool use, and productivity workflows.
Its distinguishing trait is multi-modal interactive hybrid agent capability: it can perceive real-world scenes, read screens and interact with GUIs, generate code from visual references, and perform end-to-end navigation within mobile apps. In short, it is not just a chat model with a vision bolt-on , it is designed to operate as an autonomous agent that sees and acts.
It adds vision and video understanding to Alibaba's agent backbone at about one-sixth the per-token price of Qwen 3.7 Max , and, notably, ships proprietary and API-only, breaking the lab's open-weight habit.
The numbers that matter
Here is the full spec sheet for Qwen3.7 Plus on OpenCode Go:
- Context window: 1,000,000 tokens, with a max output of 65,536 tokens
- Modalities: Text and image input, text output
- Reasoning: Yes , the model supports extended chain-of-thought
- API format:
Uses the
anthropic-messagesformat , not OpenAI-compatible - Pricing on Go: $0.40 per million input tokens, $1.60 per million output tokens, $0.04 per million cache reads, $0.50 per million cache writes (for contexts under 256K)
The price gap is the real story: Plus is roughly 6× cheaper than Max on input, ~4.7× cheaper on output, and ~3.1× cheaper on cached reads , for the same context window and the same agentic ceiling.
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