Model Comparison
LFM2 24B A2B
vs. Qwen3.5 27B (Non-reasoning)
Comparing 2 AI models · 7 benchmarks · Liquid AI, Alibaba
Recommended Pick
Strongest on: Reasoning, Intelligence, Coding
Best Value
LFM2 24B A2B
100.0 value score
20.8 reasoning / $0.05/1M
Lowest Price
LFM2 24B A2B
$0.03/1M input price
Best Reasoning
Qwen3.5 27B (Non-reasoning)
44.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 27B (Non-reasoning)
33.4 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
LFM2 24B A2B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
LFM2 24B A2B is 10x cheaper on input tokens than Qwen3.5 27B (Non-reasoning).
Speed gap
LFM2 24B A2B generates about 1.3x as many tokens per second as Qwen3.5 27B (Non-reasoning).
Reasoning gap
Qwen3.5 27B (Non-reasoning) leads LFM2 24B A2B by 24.1 points on reasoning.
Coding gap
Qwen3.5 27B (Non-reasoning) leads LFM2 24B A2B by 29.8 points on 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
—
Time
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tok/s
—
Tokens
—
Cost
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Qwen3.5 27B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Li LFM2 24B A2B | Top Pick Al Qwen3.5 27B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.03/1M | $0.30/1M |
| Output Cost | $0.12/1M | $2.60/1M |
| Blended (3:1) | $0.05/1M | $0.88/1M |
| Specifications | ||
| Organization | Liquid AI | Alibaba |
| Release Date | Feb 25, 2026 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 122.4 tok/s | 91.4 tok/s |
| TTFT | 329ms | 1376ms |
| Latency | 329ms | 1376ms |
| Composite Indices | ||
| Value Score | 100.0 | 13.0 |
| Reasoning Score | 20.8 | 44.9 |
| Intelligence | 10.5 | 37.2 |
| Coding | 3.6 | 33.4 |
| Standard Benchmarks | ||
| GPQA | 47.4% | 84.2% |
| HLE | 4.4% | 13.2% |
| SciCode | 10.9% | 36.7% |
| LCR | 0.0% | 55.7% |
| IFBench | 45.9% | 46.9% |
| TAU-bench v2 | 11.1% | 87.1% |
| TerminalBench Hard | 0.0% | 31.8% |
Key Takeaways
LFM2 24B A2B offers the best value at $0.03/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 27B (Non-reasoning) has the strongest reasoning profile with a 44.9 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 27B (Non-reasoning) reaches a 33.4 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
- Cost-sensitive applications
- High-volume processing
Qwen3.5 27B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development