Cosine Genie
PaidAutonomous AI engineer for production code, now with Lumen models and SWE-bench leadership.
By Tanmay Verma, Founder · Last verified 26 May 2026
6.4k views
Added 9d ago
80/100Safe BetAutonomous AI engineer for production code, now with Lumen models and SWE-bench leadership.
By Tanmay Verma, Founder · Last verified 26 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
Cosine Genie is a top-tier autonomous coder for professional teams, backed by Lumen models that prioritize code quality. The credit-based pricing and lack of a free tier gate it from hobbyists, but for serious engineering work, its SWE-bench leadership and enterprise options make it a strong contender.
Compare with: Cosine Genie vs Cognition AI, Cosine Genie vs Roo Code, Cosine Genie vs Poolside AI
Last verified: May 2026
Cosine Genie stands out among coding agents because it was built from the ground up for professional software engineering, not just chat-based code generation. The Lumen model family, especially Lumen Outpost, shows compelling results on benchmarks like Niche-Bench (53.9% vs 47.4% for GPT-5.5), Vibe-Bench, and Slop-Bench while being more cost-effective ($7.90 per successful task vs $28.41 for GPT-5.5). The multi-surface approach (desktop, cloud, CLI, VS Code) means you can start a task in one environment and resume it in another. The Swarm mode for parallel agent execution is a genuine productivity multiplier for large-scale refactors. On the downside, the credit system requires careful monitoring — unused credits don't roll over, and agent work pauses when the pool runs out. There is no free plan, so you must purchase at least a Hobby seat ($20/month for 5M credits) to try it. The emphasis on reducing slop (dead code, duplication) is welcome, but buyers should verify it meets their specific codebase needs. For teams already using GitHub, Bitbucket, or Azure DevOps, integration is straightforward. The UK sovereign AI angle (backed by UK government initiatives) adds credibility for regulated environments, but for most buyers, the deciding factor will be whether the credit-per-task model aligns with their usage patterns.
Skip Cosine Genie if Skip Cosine Genie if you need unlimited or free coding assistance, a traditional autocomplete copilot, or a no-code visual builder.
Cosine published benchmark results for Lumen Outpost, a post-trained coding model targeting niche languages.
Cosine introduced Swarm, enabling parallel execution of long-horizon coding agents.
How likely is Cosine Genie to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Cosine Genie is an autonomous software engineering agent built by Cosine AI. It achieves state-of-the-art results on SWE-bench and handles real engineering work: maintainable code, long-lived systems, and complex codebases. Genie works across desktop, cloud, CLI, and VS Code surfaces, retrieving data, planning solutions, writing and testing code, and collaborating asynchronously. It is post-trained using an 8-step data pipeline and behavioral RL to reduce slop (dead code, duplication) and support niche languages like Verilog, Fortran, Rust, C, R, and Matlab. The platform offers Hobby ($20/seat/month), Professional ($200/seat/month), and custom Enterprise tiers, with credit-based usage. Enterprise includes air-gapped deployment and custom model weights. Genie integrates with GitHub, Bitbucket Cloud, Azure DevOps, and MCP-compatible servers. Recent benchmarks show Lumen Outpost leads in cost per successful task vs GPT-5.5, Gemini 3.1 Pro, and Kimi K2.6.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas Cosine Genie actually fits — and what changes day-one when you adopt it.
You need to refactor a Python module to Rust while preserving all tests.
Outcome: Genie autonomously reads the codebase, plans the migration, writes Rust code, updates tests, and creates a minimal-diff PR — all in one task, consuming credits from your Hobby pool.
Your team must split a monolith into three microservices across GitHub and Azure DevOps repos.
Outcome: You launch parallel Swarm agents from CLI — each agent handles one service, plans changes, writes code, runs tests, and submits PRs. The lead reviews diffs in the cloud surface.
Your org requires air-gapped deployment with no egress, supporting Fortran and Verilog codebases.
Outcome: Enterprise deployment with custom model weights on your own GPUs. Genie works inside the air-gap, reading code, planning, and writing changes — all with zero data leaving the environment.
Cosine uses a credit-based system where each agent task consumes credits. Unused monthly credits do not roll over, and agent inference pauses when the pool runs out unless top-ups are purchased. The platform does not offer a free plan, and some advanced features (e.g., custom models, air-gap) are limited to the Enterprise tier.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Cosine Genie tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Hobby
$20/seat/month
Ideal for
Solo developer or side project with modest usage, needing full platform access at $20/seat/month.
What this tier adds
Starting tier; 5M credits per seat per month, no free trial, top-ups at $20 per 5M credits.
Professional
$200/seat/month
Ideal for
Growing team shipping at scale that needs higher credit pool: 60M credits per seat per month.
What this tier adds
12x more credits per seat than Hobby; top-ups at $200 per 60M credits; designed for frequent agent usage.
Enterprise
Custom
Ideal for
Regulated industries requiring air-gapped deployment, custom models, and zero data egress.
What this tier adds
Custom pricing and deployment (cloud, VPC, or air-gapped); custom model weights on your own GPUs; dedicated support.
The company stage and team size where Cosine Genie's pricing actually pencils out — and where peers do it cheaper.
Hobby at $20/seat/month (5M credits) suits solo devs. Professional at $200/seat/month (60M credits) fits growing teams. Enterprise is custom. Compared to Devin (similar credit-based model, ~$500/mo) and Cursor Pro ($20/mo for chat and limited agent), Cosine is mid-range but credit-per-task means heavy users may need Professional. No free tier.
How long it actually takes to get something useful out of Cosine Genie — broken out by persona, not the marketing-page minute.
Solo dev: 15 minutes to install CLI or desktop app, authenticate with GitHub, and start a first task. Team: after admin creates a workspace, each member adds their seat (5 min). Enterprise air-gapped: weeks to months depending on infrastructure provisioning.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Cosine Genie, with the specific reason each pairing earns its keep.
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