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Mi:dm K 3.0 Pro vs LFM3-1.7B

vs
LFM3-1.7B

Liquid AI

40#155
Signal-by-Signal Comparison
SignalMi:dm K 3.0 ProDeltaLFM3-1.7B
Capabilities
50
-17
67
Pricing
99
-1
100
Context window size
86
--
86
Recency
100
--
100
Output Capacity
86
+23
63
Overall Result
1 wins
of 5
2 wins
LFM3-1.7B wins 2 of 5 signals

Score History

Score History (2 data points)
Mi:dm K 3.0 ProLFM3-1.7B
Mi:dm K 3.0 Pro

40

current score

Leader

Tied

right now

LFM3-1.7B

40

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mi:dm K 3.0 Pro

kt

Per request$0.000600
Daily$2.00
Monthly$60.00
Annual$720.00

LFM3-1.7B

Liquid AI

Best Value
Per request$0.000180
Daily$0.60
Monthly$18.00
Annual$216.00

LFM3-1.7B saves you $42.00/month

That's $504.00/year compared to Mi:dm K 3.0 Pro at your current usage level of 100K calls/month.

70% cheaper
Choose LFM3-1.7B for cost optimization

Mi:dm K 3.0 Pro pricing:
Input:$0.20/M tokens
Output:$0.80/M tokens
LFM3-1.7B pricing:
Input:$0.08/M tokens
Output:$0.20/M tokens
Tie
Mi:dm K 3.0 Pro

kt

40

Composite Score

Tie
LFM3-1.7B

Liquid AI

40

Composite Score

Signal-by-Signal Comparison
MetricMi:dm K 3.0 ProLFM3-1.7BWinner
Overall Score
40
40
--
Rank#157#155
LFM3-1.7B
Quality Rank#157#155
LFM3-1.7B
Adoption Rank#157#155
LFM3-1.7B
Parameters--1.7B--
Context Window262K262K
LFM3-1.7B
Pricing$0.20/$0.80/M$0.08/$0.20/M--
Signal Scores
Capabilities
50
67
LFM3-1.7B
Pricing
99
100
LFM3-1.7B
Context window size
86
86
Mi:dm K 3.0 Pro
Recency
100
100
Mi:dm K 3.0 Pro
Output Capacity
86
63
Mi:dm K 3.0 Pro
Benchmark Interpretation

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.

Mi:dm K 3.0 ProEntry Level

Scores 40/100 (rank #157), placing it in the top 46% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
LFM3-1.7BEntry Level

Scores 40/100 (rank #155), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose Mi:dm K 3.0 Pro when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose LFM3-1.7B when you need:

  • High-volume production workloads where API costs must be minimized
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mi:dm K 3.0 Pro
Input cost$0.20/M tokens
Output cost$0.80/M tokens
Cost per quality point$0.025
Est. monthly (1M tokens/day)$15.00
LFM3-1.7BBest Value
Input cost$0.08/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.20

LFM3-1.7B offers 72% better value per quality point. At 1M tokens/day, you'd spend $4.20/month with LFM3-1.7B vs $15.00/month with Mi:dm K 3.0 Pro - a $10.80 monthly difference.

Latency & Speed
Mi:dm K 3.0 ProFaster
Speed score0/100
LFM3-1.7B
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mi:dm K 3.0 Pro

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

Mi:dm K 3.0 Pro

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

LFM3-1.7B

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

LFM3-1.7B

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Mi:dm K 3.0 Pro
Which Should You Choose?
Our recommendation:
Mi:dm K 3.0 Pro

Mi:dm K 3.0 Pro and LFM3-1.7B 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.

Mi:dm K 3.0 Pro
Recommended

by kt

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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

by Liquid AI

  • Choose for Cost - 72% lower pricing; better value at scale
Capability Comparison
CapabilityMi:dm K 3.0 ProLFM3-1.7B
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mi:dm K 3.0 Pro

kt

$1.32
estimated monthly cost

LFM3-1.7B

Liquid AI

Best Value
$0.3840
estimated monthly cost

LFM3-1.7B saves you $0.9360/month

That's 71% cheaper than Mi:dm K 3.0 Pro 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.

Parameters & Context
ParameterMi:dm K 3.0 ProLFM3-1.7B
Context Window262K262K
Max Output Tokens235,6158,192
Open SourceNoYes
CreatedNov 5, 2026Nov 6, 2026
Last updated: 25m ago

相关对比

Mi:dm K 3.0 Pro vs LFM3-1.7B (2026) | LM Market Cap