Product Positioning & Context
Use Claude models in Codex and GPT models in Claude Code on your existing plans, routed to whichever has quota left. Weave Router 2.0 routes each coding agent request to the cheapest model that can get it right. On Terminal-Bench 4.0 and SWE-Atlas it matches GPT-6 Astra at half the cost, 2x faster. Powered by a new classifier scores task complexity and ache-aware switching that only moves when savings beat the rebuild cost.
Related Ecosystem & Alternatives
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Deep-Dive FAQs
What is Weave Router 2.0?
Weave Router 2.0 is a digital product or tool described as: Subscription Aware Coding Agent Router (GPT-6 Intelligence)
Where did Weave Router 2.0 originate?
Data for Weave Router 2.0 was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Weave Router 2.0 publicly launched?
The initial public indexing or launch date for Weave Router 2.0 within our tracked developer communities was recorded on September 16, 2026.
How popular is Weave Router 2.0?
Weave Router 2.0 has achieved measurable traction, logging over 153 traction score and facilitating 13 recorded discussions or engagements.
Which technical categories define Weave Router 2.0?
Based on metadata extraction, Weave Router 2.0 is categorized under topics such as: Open Source, Developer Tools, Artificial Intelligence.
How does the creator describe Weave Router 2.0?
The original author or development team describes the product as follows: "Use Claude models in Codex and GPT models in Claude Code on your existing plans, routed to whichever has quota left. Weave Router 2.0 routes each coding agent request to the cheapest model that can..."
Community Voice & Feedback
Love this. Once you're running more than one coding agent, subscription-aware routing stops being a nice-to-have. Excited to try how you balance quality and cost across models.
Given that this routing is done via quota across the providers, what will happen if there is a case whereby the quotas for Claude and GPT are depleted at the same time?Additionally, Congratualtions @adchurch @adambcohen & team @Weave Engineering Intelligence πβοΈ
βusing weave allowed our lead engineers to optimize overall workflow speed by sixteen percent.
Does it provide any visibility into how much quota each request saves?
I have been using Weave and the experience has been great, especially because it significantly reduces token costs.
Does it shows users why a specific model was chosen for each request?
Do you have a VS Code extension coming?
Can users set their own preferences for cost versus speed or does Weave handle that automatically?
Does it support custom cost caps per project?
Hey Product Hunt, I'm Adam, Co-founder of Weave!The ProblemCoding agents send every request to one model. A one-line config change and a cross-service migration both go to the same frontier model at the same price. Teams are paying frontier rates for routine work, and the bill grows with every agent they add.Most tools in this space follow one of two flawed approaches:β Gateways β They give you one endpoint and a menu of models. You still pick the model yourself, so nothing actually gets cheaper.β Manual model switching β Flipping /model mid-session breaks your prompt cache, and on long sessions the re-billed context eats the savings.After running into this on our own agent traffic, we built Weave Router to solve it.How Weave Router 2.0 is Different πWeave Router plugs into Claude Code, Codex, and Cursor as a drop-in endpoint. It reads every request your agent makes, scores how hard it is, and sends it to the cheapest model that will get it right.The benchmarksWe ran 2.0 head to head against GPT-6 Astra, each task run twice (pass@2).π Terminal-Bench 4.0 β Tied pass rate within the confidence interval. 52% of Astra's cost. 2.2x faster.π SWE-Atlas Codebase QnA β Tied pass rate within the confidence interval. 46% of Astra's cost. 2.5x faster.Full results at weaveos.com/router.πΉ Complexity-scored routing β A new classifier trained on 10x more real agentic coding sessions routes on task difficulty, not task type. DeepSeek, GLM, and Kimi handle the simple turns. Astra and Fable handle the hard ones.πΉ Cache-aware switching β 2.0 tracks cache state per provider and per session. It only switches models when the expected savings beat the cost of rebuilding the cache. This is where most of the cost win comes from.πΉ Multi-subscription routing β Use Claude models inside Codex and GPT models inside Claude Code. Route by complexity, by cost, or by whichever plan still has quota this month.Who is this for?If you or your team run coding agents daily, Weave Router gets you Astra-level results at about half the cost and more than twice the speed, without changing your tools.π Get started todayTry it at weaveos.com/router. Install with one command: npx @workweave/router. Source-available under Elastic License 2.0. Teams of 50+ engineers can book time with our FDEs.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
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Media Tractions & Mentions
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Deep Research & Science
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