Coding · Head-to-head
Windsurf vs LFM2.5-2.6B
Windsurf (freemium, AI Score 7.2/10) vs LFM2.5-2.6B (free, AI Score 8/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Windsurf if…
- →your primary use case is developers already productive in windsurf's cascade workflow who have no urgent reason to migrate, and teams evaluating cognition's stack who want an editor-side agent sitting alongside devin's cloud agents.
Pick LFM2.5-2.6B if…
- →budget is the constraint
- →overall capability matters more than price (AI Score 8 vs 7.2)
- →your primary use case is mobile and edge developers building offline agents for ios or android who need dependable tool calling from a model small enough to ship inside the app, with no hosted api in the loop.
Side-by-side specs
| Spec | Windsurf | LFM2.5-2.6B |
|---|---|---|
| Category | Coding | Coding |
| Pricing model | freemium | free |
| Headline pricing | Free tier; paid plans from $20/mo (the Devin lineup now served at windsurf.com) — verify before buying | Free open weights — self-host only, no hosted API |
| Free tier | Yes, but it is credit-metered and is Devin's free tier, not the unlimited-basic-completions-forever tier this entry once described. That tier no longer exists. Confirm current allowances on the live pricing page before relying on it. | The entire model is free to download and run — the only cost is the hardware you run it on and the licence terms you agree to. |
| AI Score | 7.2/10 | 8/10 |
| Best for | Developers already productive in Windsurf's Cascade workflow who have no urgent reason to migrate, and teams evaluating Cognition's stack who want an editor-side agent sitting alongside Devin's cloud agents. | Mobile and edge developers building offline agents for iOS or Android who need dependable tool calling from a model small enough to ship inside the app, with no hosted API in the loop. |
| Editor's pick | — | — |
| Use cases | development agents | development agents |
| Date added | 2025-06-01 | 2026-08-06 |
Pros and cons
Windsurf
Coding · freemium
Pros
- ✓Cascade remains one of the better-designed agent loops: it plans, edits across files, runs commands, reads output and iterates without needing constant re-prompting
- ✓Repo-wide indexing means the agent locates the relevant files itself instead of making you paste context
- ✓Mixes cheap in-house SWE-series models for routine edits with frontier models for hard problems, so agent runs are not uniformly expensive
- ✓Enterprise self-hosted and air-gapped deployment with zero data retention, which Cursor does not offer at any tier
- ✓Full VS Code fork with terminal execution and file-write access, not a chat sidebar bolted onto an editor
Cons
- ×The founding team including CEO Varun Mohan left for Google DeepMind in July 2025 and Cognition bought what remained, so an independent product roadmap is not a safe assumption
- ×windsurf.com resolved to Cognition's Devin site when checked on 2026-08-10, meaning the plans a buyer actually encounters are Devin's and no Windsurf-branded price could be confirmed on any live page
- ×Cursor and Claude Code have caught up on multi-file agentic work, erasing the 2025 lead this entry's original 9.1 score was built on
- ×Pricing is credit-metered and hard to forecast for a team; the unlimited free tier that once made the product an easy recommendation is gone
LFM2.5-2.6B
Coding · free
Pros
- ✓Runs entirely offline on phone- and laptop-class hardware, so there is no per-token cost and no user data leaves the device
- ✓Tuned specifically for tool calling and multi-step execution rather than conversation — the weak spot for most models this size
- ✓Open weights you can fine-tune, quantize and ship inside your own application, with no endpoint a vendor can deprecate
- ✓First-party mobile deployment path (LEAP SDK for iOS/Android, Apollo app) instead of leaving you to port it yourself
- ✓Architecture picked for CPU and NPU throughput, which is the constraint that actually bites on edge hardware
Cons
- ×Licence is Liquid's own LFM Open License with a company-revenue threshold, not Apache 2.0 or MIT — a real disadvantage against Qwen, Gemma and SmolLM checkpoints in the same weight class
- ×No hosted API at all — you own inference, quantization, updates and the ops burden that comes with them
- ×At 2.6B parameters it will not hold a long-horizon coding session or deep multi-file reasoning; this is a weight class for bounded, tool-mediated tasks
- ×Vendor-published benchmarks remain largely un-replicated by independent evaluators, so treat the launch numbers as a starting hypothesis rather than a result
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.