Cognition brings Fusion to Devin Desktop and CLI
Teams can test multi-model coding without building a router, but reported savings vary by task and do not prove lower accepted-change cost on their repositories.
Cognition Fusion launch ↗Cognition's latest coding model is designed for agentic repository work and configurable effort. Vendor-arranged benchmark results position it as a cost-efficient sidekick, but independent capability, reliability and cost-per-accepted-change testing is pending.
Teams can test multi-model coding without building a router, but reported savings vary by task and do not prove lower accepted-change cost on their repositories.
Cognition Fusion launch ↗Paid Devin users can evaluate SWE-2 under a time-limited promotion, but future terms and independent task performance remain unverified.
Cognition SWE-2 launch ↗Cognition SWE-2 is designed for cost-aware agentic coding as a standalone devin model or the execution sidekick in devin fusion. HubAI treats it as a workflow purchase rather than a novelty: the relevant question is whether it produces an acceptable result repeatedly, with controls your team can understand and a cost that remains predictable after the trial ends.
Cost-aware agentic coding as a standalone Devin model or the execution sidekick in Devin Fusion
accepted, tested code changes with lower cycle time and no increase in escaped defects
Promotional access ends on a published date and future terms are not guaranteed
Assign the same bounded repository change with tests and security checks.
Bring one representative input
Run the same job three times
Measure accepted output and cost
Review repository access, code retention, training use and secret handling.
Editor or browser workspace with repository connections.
Git · IDE · Deployments
Vendor facts and HubAI opinion are separated. Sponsored placement cannot buy a higher score.
One compact record for price, access, data handling, deployment and the test that must pass before adoption.
Review repository access, code retention, training use and secret handling.
Editor or browser workspace with repository connections.
Git · IDE · Deployments
Assign a bounded code change and verify tests, security and maintainability.
HubAI will publish a score only after the same representative tasks have been run against current alternatives. Vendor benchmarks are not treated as an editorial rating.
The subscription price is only the starting point. HubAI evaluates usage limits, failed attempts and the work needed to produce one usable result. Pricing changes frequently, so the structure and verification date matter more than a headline price.
Pricing checked for editorial use on 4 September 2026. Confirm live price, VAT, region, usage rights and cancellation terms with the vendor before purchase.
Model your own usage. HubAI separates subscription cost from retries and human review—without pretending a headline plan price tells the whole story.
Test this job with your own inputs and judge the finished result—not the first draft.
Test this job with your own inputs and judge the finished result—not the first draft.
Test this job with your own inputs and judge the finished result—not the first draft.
Act as a specialist in model ai. Ask me three questions before creating the first draft. The outcome I need is: [describe outcome].Create two approaches for [task]. Use this audience: [audience]. Respect these constraints: [constraints]. Explain the trade-off between the two approaches.Review this output against accuracy, tone, privacy, cost and usability. List the changes required before a person should approve it.Do not place confidential, personal or rights-restricted material into Cognition SWE-2 until your organisation has reviewed its current terms, retention settings and account controls. AI output can be plausible and still wrong; regulated, financial, legal and employment decisions require qualified human review.
This is HubAI's editorial record, not the vendor's product changelog or a live uptime claim.
Use-case routes, relevant comparisons and alternatives connected to the product profile.
Entry price structure, free or trial route and buyer limitations checked for editorial use.
Verdict, best fit, strengths, limitations, prompts and governance questions structured.
Engineering teams testing a frontier lead and lower-cost sidekick on long, repository-level coding work
HFProject HydraFusionTest pendingTesting single, cascade and critic-model coding workflows inside GitHub Copilot CLI
F5Claude Fable 5.1Test pendingLong-running coding, research, knowledge work and context-heavy agents
Scores are editorial signals, not a universal winner. Choose around the exact job and run the same proof test.
| Product | HubAI score | Best for | Price structure | Access | Decision |
|---|---|---|---|---|---|
| Cognition SWE-2 CURRENT | Test pending | Cost-aware agentic coding as a standalone Devin model or the execution sidekick in Devin Fusion | Included within applicable Devin plan quotas; promotional free use for paid Pro, Max and Teams subscribers through 10 October 2026; extra usage uses API pricing | Devin Free has limited model availability; paid plans provide full model access | Current profile |
| Devin Fusion | Test pending | Engineering teams testing a frontier lead and lower-cost sidekick on long, repository-level coding work | Included within Devin plan quotas; current Pro is $20/month, Max $200/month, and Teams $80/month plus $40 per full developer seat; extra usage uses API pricing | Free plan has a light quota and limited models; paid plans include full model access, with promotional SWE-2 use through 10 October 2026 | Compare → |
| Project HydraFusion | Test pending | Testing single, cascade and critic-model coding workflows inside GitHub Copilot CLI | No separate fee; underlying model tokens use their standard rates | Research preview through Copilot CLI experimental settings | Compare → |
| Claude Fable 5.1 | Test pending | Long-running coding, research, knowledge work and context-heavy agents | $10/1M input, $50/1M output; cache reads $0.25/1M tokens | Available across Claude platforms; plan access varies | Compare → |
Cognition SWE-2 is best suited to cost-aware agentic coding as a standalone devin model or the execution sidekick in devin fusion. HubAI's current verdict is: Cognition's latest coding model is designed for agentic repository work and configurable effort. Vendor-arranged benchmark results position it as a cost-efficient sidekick, but independent capability, reliability and cost-per-accepted-change testing is pending.
Devin Free has limited model availability; paid plans provide full model access. Check the official product page before buying because allowances, regions and eligibility can change.
Included within applicable Devin plan quotas; promotional free use for paid Pro, Max and Teams subscribers through 10 October 2026; extra usage uses API pricing. The useful comparison is total cost per accepted result, including retries, limits and human correction—not the advertised entry price alone.
Compare products in the same Code AI shelf against one identical task, acceptance rule and cost window. Focus on accepted, tested code changes with lower cycle time and no increase in escaped defects.
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