Model Comparison
V4 Flash (Reasoning, High Effort)
vs. LFM2.5-1.2B-Thinking
Comparing 2 AI models · 7 benchmarks · DeepSeek, Liquid AI
Recommended Pick
De V4 Flash (Reasoning, High Effort) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Lowest Price
LFM2.5-1.2B-Thinking
$0.00/1M input price
Best Reasoning
V4 Flash (Reasoning, High Effort)
53.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
V4 Flash (Reasoning, High Effort)
39.8 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
LFM2.5-1.2B-Thinking is ∞x cheaper on input tokens than V4 Flash (Reasoning, High Effort).
Reasoning gap
V4 Flash (Reasoning, High Effort) leads LFM2.5-1.2B-Thinking by 37.5 points on reasoning.
Coding gap
V4 Flash (Reasoning, High Effort) leads LFM2.5-1.2B-Thinking by 38.4 points on coding.
Top-pick rationale
V4 Flash (Reasoning, High Effort) wins 10 measurable categories, including Reasoning, Intelligence, Coding, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V4 Flash (Reasoning, High Effort)
DeepSeek
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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LFM2.5-1.2B-Thinking
Liquid AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De V4 Flash (Reasoning, High Effort) | Li LFM2.5-1.2B-Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.00/1M |
| Output Cost | $0.28/1M | $0.00/1M |
| Blended (3:1) | $0.18/1M | — |
| Specifications | ||
| Organization | DeepSeek | Liquid AI |
| Release Date | Apr 24, 2026 | Jan 20, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 53.5 | 16.0 |
| Intelligence | 46.0 | 8.1 |
| Coding | 39.8 | 1.4 |
| Standard Benchmarks | ||
| GPQA | 86.7% | 33.9% |
| HLE | 27.8% | 6.1% |
| SciCode | 42.0% | 4.2% |
| LCR | 62.7% | 0.0% |
| IFBench | 73.5% | 41.8% |
| TAU-bench v2 | 95.6% | 19.6% |
| TerminalBench Hard | 38.6% | 0.0% |
Key Takeaways
LFM2.5-1.2B-Thinking offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
V4 Flash (Reasoning, High Effort) has the strongest reasoning profile with a 53.5 reasoning score, combining the available reasoning-heavy benchmarks.
V4 Flash (Reasoning, High Effort) reaches a 39.8 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
V4 Flash (Reasoning, High Effort)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
LFM2.5-1.2B-Thinking
- Cost-sensitive applications
- High-volume processing
