| Signal | LFM2-24B-A2B | Delta | OpenAI GPT Mini Latest |
|---|---|---|---|
Capabilities | 17 | -83 | |
Pricing | 100 | +4 | |
Context window size | 72 | -17 | |
Recency | 100 | -- | |
Output Capacity | 20 | -65 | |
| Overall Result | 1 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
Liquid AI
~openai
LFM2-24B-A2B saves you $291.00/month
That's $3492.00/year compared to OpenAI GPT Mini Latest at your current usage level of 100K calls/month.
| Metric | LFM2-24B-A2B | OpenAI GPT Mini Latest | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #217 | #192 | OpenAI GPT Mini Latest |
| Quality Rank | #217 | #192 | OpenAI GPT Mini Latest |
| Adoption Rank | #217 | #192 | OpenAI GPT Mini Latest |
| Parameters | 24B | -- | -- |
| Context Window | 33K | 400K | OpenAI GPT Mini Latest |
| Pricing | $0.03/$0.12/M | $0.75/$4.50/M | -- |
| Signal Scores | |||
| Capabilities | 17 | 100 | OpenAI GPT Mini Latest |
| Pricing | 100 | 96 | LFM2-24B-A2B |
| Context window size | 72 | 89 | OpenAI GPT Mini Latest |
| Recency | 100 | 100 | LFM2-24B-A2B |
| Output Capacity | 20 | 85 | OpenAI GPT Mini Latest |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #217), placing it in the top 26% of all 290 models tracked.
Scores 40/100 (rank #192), placing it in the top 34% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
LFM2-24B-A2B offers 97% better value per quality point. At 1M tokens/day, you'd spend $2.25/month with LFM2-24B-A2B vs $78.75/month with OpenAI GPT Mini Latest - a $76.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. LFM2-24B-A2B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.12/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
LFM2-24B-A2B and OpenAI GPT Mini Latest are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
LFM2-24B-A2B
Marginally better benchmark scores; both are excellent
Best for Cost
LFM2-24B-A2B
97% lower pricing; better value at scale
Best for Reliability
LFM2-24B-A2B
Higher uptime and faster response speeds
Best for Prototyping
LFM2-24B-A2B
Stronger community support and better developer experience
Best for Production
LFM2-24B-A2B
Wider enterprise adoption and proven at scale
by Liquid AI
| Capability | LFM2-24B-A2B | OpenAI GPT Mini Latest |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Liquid AI
~openai
LFM2-24B-A2B saves you $6.55/month
That's 97% cheaper than OpenAI GPT Mini Latest at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | LFM2-24B-A2B | OpenAI GPT Mini Latest |
|---|---|---|
| Context Window | 33K | 400K |
| Max Output Tokens | -- | 128,000 |
| Open Source | Yes | No |
| Created | Feb 25, 2026 | Apr 27, 2026 |