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LFM2.5-2.6B (free) vs Qwen3.8 2.4T A95B

LFM2.5-2.6B (free)

Liquid AI

40#238
vs
Qwen3.8 2.4T A95B

Alibaba

40#236
Signal-by-Signal Comparison
SignalLFM2.5-2.6B (free)DeltaQwen3.8 2.4T A95B
Capabilities
67
--
67
Pricing
100
+6
94
Context window size
81
-5
86
Recency
100
--
100
Output Capacity
75
-3
78
Overall Result
1 wins
of 5
2 wins
Qwen3.8 2.4T A95B wins 2 of 5 signals

Score History Unavailable

Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.

40

LFM2.5-2.6B (free)

vs

40

Qwen3.8 2.4T A95B

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

LFM2.5-2.6B (free)

Liquid AI

Best Value
Per request$0.000000
Daily$0.00
Monthly$0.00
Annual$0.00

Qwen3.8 2.4T A95B

Alibaba

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

LFM2.5-2.6B (free) saves you $500.00/month

That's $6000.00/year compared to Qwen3.8 2.4T A95B at your current usage level of 100K calls/month.

100% cheaper
Choose LFM2.5-2.6B (free) for cost optimization

LFM2.5-2.6B (free) pricing:
Input:$0.00/M tokens
Output:$0.00/M tokens
Qwen3.8 2.4T A95B pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Tie
LFM2.5-2.6B (free)

Liquid AI

40

Composite Score

Tie
Qwen3.8 2.4T A95B

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricLFM2.5-2.6B (free)Qwen3.8 2.4T A95BWinner
Overall Score
40
40
--
Rank#238#236
Qwen3.8 2.4T A95B
Quality Rank#238#236
Qwen3.8 2.4T A95B
Adoption Rank#238#236
Qwen3.8 2.4T A95B
Parameters2.6B95B--
Context Window128K262K
Qwen3.8 2.4T A95B
PricingFree$2.00/$6.00/M--
Signal Scores
Capabilities
67
67
LFM2.5-2.6B (free)
Pricing
100
94
LFM2.5-2.6B (free)
Context window size
81
86
Qwen3.8 2.4T A95B
Recency
100
100
LFM2.5-2.6B (free)
Output Capacity
75
78
Qwen3.8 2.4T A95B
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.

LFM2.5-2.6B (free)Entry Level

Scores 40/100 (rank #238), placing it in the top 18% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 2.4T A95BEntry Level

Scores 40/100 (rank #236), placing it in the top 19% 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 LFM2.5-2.6B (free) 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 Qwen3.8 2.4T A95B when you need:

  • Processing long documents or large codebases (262K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
LFM2.5-2.6B (free)
Input cost$0.00/M tokens
Output cost$0.00/M tokens
Cost per quality point$0.000
Est. monthly (1M tokens/day)$0.00
Qwen3.8 2.4T A95B
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.200
Est. monthly (1M tokens/day)$120.00

Compare the cost per quality point to find the best value for your specific workload.

Latency & Speed
LFM2.5-2.6B (free)Faster
Speed score0/100
Qwen3.8 2.4T A95B
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

LFM2.5-2.6B (free)

Customer support chatbot

Suitable for user-facing chat with competitive response times. LFM2.5-2.6B (free) also offers lower per-token costs for high-volume support

LFM2.5-2.6B (free)

Long document analysis

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

Qwen3.8 2.4T A95B

Batch data extraction

Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily

LFM2.5-2.6B (free)

Creative writing & content

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

LFM2.5-2.6B (free)
Which Should You Choose?
Our recommendation:
LFM2.5-2.6B (free)

LFM2.5-2.6B (free) and Qwen3.8 2.4T A95B 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 Liquid AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 100% 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

by Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityLFM2.5-2.6B (free)Qwen3.8 2.4T A95B
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

LFM2.5-2.6B (free)

Liquid AI

Best Value
$0.000000
estimated monthly cost

Qwen3.8 2.4T A95B

Alibaba

$10.80
estimated monthly cost

LFM2.5-2.6B (free) saves you $10.80/month

That's 100% cheaper than Qwen3.8 2.4T A95B 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
ParameterLFM2.5-2.6B (free)Qwen3.8 2.4T A95B
Context Window128K262K
Max Output Tokens32,76852,429
Open SourceYesYes
CreatedAug 11, 2026Aug 12, 2026
Last updated: 27m ago

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LFM2.5-2.6B (free) vs Qwen3.8 2.4T A95B (2026) | LM Market Cap