Model Comparison
LFM2 24B A2B
vs. LFM2.5-VL-1.6B
Comparing 2 AI models · 7 benchmarks · Liquid AI
Recommended Pick
Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
LFM2.5-VL-1.6B
$0.00/1M input price
Best Reasoning
LFM2 24B A2B
20.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
LFM2 24B A2B
3.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
LFM2.5-VL-1.6B is ∞x cheaper on input tokens than LFM2 24B A2B.
Reasoning gap
LFM2 24B A2B leads LFM2.5-VL-1.6B by 7.4 points on reasoning.
Coding gap
LFM2 24B A2B leads LFM2.5-VL-1.6B by 2.6 points on coding.
Top-pick rationale
LFM2 24B A2B wins 8 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
LFM2 24B A2B
Liquid AI
TTFT
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Time
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tok/s
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Tokens
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Cost
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LFM2.5-VL-1.6B
Liquid AI
TTFT
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Time
—
tok/s
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Tokens
—
Cost
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Which answer was more useful?
Full Comparison
| Metric | Top Pick Li LFM2 24B A2B | Li LFM2.5-VL-1.6B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.03/1M | $0.00/1M |
| Output Cost | $0.12/1M | $0.00/1M |
| Blended (3:1) | $0.05/1M | — |
| Specifications | ||
| Organization | Liquid AI | Liquid AI |
| Release Date | Feb 25, 2026 | Jan 5, 2026 |
| Performance & Speed | ||
| Throughput | 118.3 tok/s | — |
| TTFT | 299ms | — |
| Latency | 299ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 20.8 | 13.4 |
| Intelligence | 10.5 | 6.2 |
| Coding | 3.6 | 1.0 |
| Standard Benchmarks | ||
| GPQA | 47.4% | 28.9% |
| HLE | 4.4% | 5.1% |
| SciCode | 10.9% | 3.0% |
| LCR | 0.0% | 0.0% |
| IFBench | 45.9% | 33.1% |
| TAU-bench v2 | 11.1% | 8.5% |
| TerminalBench Hard | 0.0% | 0.0% |
Key Takeaways
LFM2.5-VL-1.6B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
LFM2 24B A2B has the strongest reasoning profile with a 20.8 reasoning score, combining the available reasoning-heavy benchmarks.
LFM2 24B A2B reaches a 3.6 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
LFM2 24B A2B
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
LFM2.5-VL-1.6B
- Cost-sensitive applications
- High-volume processing