LFM3-1.7B vs Muse Ember
| Signal | LFM3-1.7B | Delta | Muse Ember |
|---|---|---|---|
Capabilities | 67 | -33 | |
Pricing | 100 | +0 | |
Context window size | 86 | -9 | |
Recency | 100 | -- | |
Output Capacity | 63 | -33 | |
| Overall Result | 1 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
LFM3-1.7B
Liquid AI
Muse Ember
meta
LFM3-1.7B saves you $17.00/month
That's $204.00/year compared to Muse Ember at your current usage level of 100K calls/month.
| Metric | LFM3-1.7B | Muse Ember | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #148 | #147 | Muse Ember |
| Quality Rank | #148 | #147 | Muse Ember |
| Adoption Rank | #148 | #147 | Muse Ember |
| Parameters | 1.7B | -- | -- |
| Context Window | 262K | 1049K | Muse Ember |
| Pricing | $0.08/$0.20/M | $0.10/$0.50/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | Muse Ember |
| Pricing | 100 | 100 | LFM3-1.7B |
| Context window size | 86 | 96 | Muse Ember |
| Recency | 100 | 100 | LFM3-1.7B |
| Output Capacity | 63 | 96 | Muse Ember |
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 #148), placing it in the top 49% of all 290 models tracked.
Scores 40/100 (rank #147), placing it in the top 50% 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.
Choose LFM3-1.7B when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose Muse Ember when you need:
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
LFM3-1.7B offers 53% better value per quality point. At 1M tokens/day, you'd spend $4.20/month with LFM3-1.7B vs $9.00/month with Muse Ember - a $4.80 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. LFM3-1.7B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/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
LFM3-1.7B and Muse Ember 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.
By Use Case
Best for Quality
LFM3-1.7B
Marginally better benchmark scores; both are excellent
Best for Cost
LFM3-1.7B
53% lower pricing; better value at scale
Best for Reliability
LFM3-1.7B
Higher uptime and faster response speeds
Best for Prototyping
LFM3-1.7B
Stronger community support and better developer experience
Best for Production
LFM3-1.7B
Wider enterprise adoption and proven at scale
by Liquid AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 53% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | LFM3-1.7B | Muse Ember |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
LFM3-1.7B
Liquid AI
Muse Ember
meta
LFM3-1.7B saves you $0.3960/month
That's 51% cheaper than Muse Ember 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 | LFM3-1.7B | Muse Ember |
|---|---|---|
| Context Window | 262K | 1.0M |
| Max Output Tokens | 8,192 | 943,718 |
| Open Source | Yes | No |
| Created | Nov 6, 2026 | Nov 9, 2026 |