Why choose LFM2.5
- ✓ Context window: 128K tokens.
- ✓ Modality: Text.
- ✓ Pricing model: Free & Paid (API pricing available).
- ✓ Built by Liquid AI.
L
AI Model · Text
LFM2.5
Free & Paid (API pricing available)
Not applicable for models
Launch 2026
S
AI Model · Text, Code
SWE-1.7
Paid (available through Devin)
Not applicable for models
Launch 2026
LFM2.5 vs SWE-1.7
LFM2.5 is better for agentic workflows and free-tier evaluation, while SWE-1.7 is better for agentic workflows and persistent memory workflows.
Last updated Jul 10, 2026
At a glance
Price model
LFM2.5
Free & Paid (API pricing available)
SWE-1.7
Paid (available through Devin)
Primary modality
LFM2.5
Text
SWE-1.7
Text, Code
Context window
LFM2.5
128K tokens
SWE-1.7
256K tokens
Decision shortcuts
Why Choose Each
Why choose SWE-1.7
- ✓ Context window: 256K tokens.
- ✓ Modality: Text, Code.
- ✓ Pricing model: Paid (available through Devin).
- ✓ Built by Cognition.
Static verdicts
Verdicts by Use Case
Best Overall
LFM2.5
LFM2.5 has the stronger fit based on the visible pricing, rating, category, and capability signals.
Best for Developers
SWE-1.7
SWE-1.7 has the stronger developer fit from API, model, context, or integration signals.
Best Value
LFM2.5
LFM2.5 has the clearer low-cost or free-plan signal in the listing.
Best for Beginners
LFM2.5
LFM2.5 looks easier to start with based on product type, pricing clarity, and listing completeness.
Best for Teams
LFM2.5
LFM2.5 has the stronger team fit from workflow, trust, and adoption signals.
Audience fit
Audience Breakdown
Developers
SWE-1.7
API control, model details, and technical integration signals matter most.
Startups
LFM2.5
Visible free or low-cost pricing is weighted heavily for early teams.
Enterprises
LFM2.5
Team rollout favors packaged workflow context and visible public signals.
Marketers
LFM2.5
Marketing fit favors finished workflow tools over raw model infrastructure.
Designers
LFM2.5
Design teams usually benefit from packaged software and clear category fit.
Students
LFM2.5
Student fit favors clear free-tier or low-cost public pricing signals.
Grouped specs
Comparison Matrix
Overview
Feature
LFM2.5
SWE-1.7
Category
LFM2.5
✓
Text
SWE-1.7
✓
Text, Code
Provider
LFM2.5
✓
Liquid AI
SWE-1.7
✓
Cognition
Launch year
LFM2.5
✓
2026
SWE-1.7
✓
2026
Availability
LFM2.5
✓
Public website listed
SWE-1.7
✓
Public website listed
API
LFM2.5
✓
Yes
SWE-1.7
×
No
Open source
LFM2.5
×
No
SWE-1.7
×
No
Free tier
LFM2.5
✓
Yes
SWE-1.7
×
No
Enterprise support
LFM2.5
✓
Yes
SWE-1.7
✓
Yes
Verified owner
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Features
Feature
LFM2.5
SWE-1.7
Integrations
LFM2.5
×
Not listed
SWE-1.7
×
Not listed
Modality
LFM2.5
✓
Text
SWE-1.7
✓
Text, Code
Fine tuning
LFM2.5
×
No
SWE-1.7
×
No
Context window
LFM2.5
✓
128K tokens
SWE-1.7
✓
256K tokens
File upload
LFM2.5
×
No
SWE-1.7
✓
Yes
Memory
LFM2.5
×
No
SWE-1.7
✓
Yes
Agents
LFM2.5
✓
Yes
SWE-1.7
✓
Yes
Image generation
LFM2.5
×
Not listed
SWE-1.7
×
Not listed
Voice capabilities
LFM2.5
×
Not listed
SWE-1.7
×
Not listed
Pricing
Feature
LFM2.5
SWE-1.7
Free plan
LFM2.5
✓
Yes
SWE-1.7
×
No
Starter price
LFM2.5
✓
Free & Paid (API pricing available)
SWE-1.7
✓
Paid (available through Devin)
Team plan
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Enterprise
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Community
Feature
LFM2.5
SWE-1.7
Reviews
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Ratings
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Saves
LFM2.5
-
Not applicable for models
SWE-1.7
-
Not applicable for models
Concrete tradeoffs
Strengths & Weaknesses
LFM2.5
Pros
- ✓Context window: 128K tokens.
- ✓Modality: Text.
- ✓Pricing model: Free & Paid (API pricing available).
- ✓Built by Liquid AI.
- ✓Free tier available.
- ✓Supports agentic workflows.
Cons
- ×No confirmed limitations in the current TipJournal listing.
SWE-1.7
Pros
- ✓Context window: 256K tokens.
- ✓Modality: Text, Code.
- ✓Pricing model: Paid (available through Devin).
- ✓Built by Cognition.
- ✓Supports agentic workflows.
Cons
- ×No confirmed limitations in the current TipJournal listing.
Other options
Alternatives
C
Command A+
Cohere • 256k
D
DeepSeek V3.2
DeepSeek • 128k
C
Claude Haiku 4.5
Anthropic • 200k
C
Codestral 25.08
Mistral AI • The model supports a 266k token context window, allowing it to process large codebases and extensive documentation in a single request, making it suitable for complex refactoring and analysis tasks.
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Decision questions
FAQ
Which is better, LFM2.5 or SWE-1.7?
LFM2.5 has the stronger visible fit from the available TipJournal data, but the better choice depends on your use case.
Is LFM2.5 or SWE-1.7 better for developers?
LFM2.5 is the better developer-oriented choice when API control, model details, or technical evaluation matter.
Is LFM2.5 or SWE-1.7 better value?
LFM2.5 has the clearer low-cost or free-plan signal.