API cost decision in 10 seconds

Mercury 2.5 Preview vs LFM2.5-2.6B

Pick Mercury 2.5 Preview when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mercury 2.5 Preview when budget and context both matter.

On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.57 vs $0.6 for LFM2.5-2.6B, saving $0.03 (4.2% lower).

Cost-first pickMercury 2.5 Preview
Context-first pickMercury 2.5 Preview
Sample savings$0.034.2%
10x traffic gap$0.25

Mercury 2.5 Preview is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Mercury 2.5 Preview, balanced workload favors LFM2.5-2.6B, and output-heavy chatbot favors LFM2.5-2.6B.

Workload shapeToken mixBetter pickMercury 2.5 PreviewLFM2.5-2.6B
Input-heavy / RAG5M input + 500K outputMercury 2.5 Preview$1.38$2
Balanced workload1M input + 1M outputLFM2.5-2.6B$0.95$0.85
Output-heavy chatbot1M input + 5M outputLFM2.5-2.6B$3.95$2.85
Cheaper input Mercury 2.5 Preview $0.2 vs $0.35 / 1M

Mercury 2.5 Preview is $0.15 cheaper per 1M input tokens (42.9% lower; 1.75x difference).

Cheaper output LFM2.5-2.6B $0.75 vs $0.5 / 1M

LFM2.5-2.6B is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Mercury 2.5 Preview 260K vs 128K

Mercury 2.5 Preview has 132K more context (2.03x larger).

Sample workload Mercury 2.5 Preview $0.57 vs $0.6

Mercury 2.5 Preview is $0.03 cheaper on the standard workload (4.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 2.5 Preview Calculating… Estimated API cost
LFM2.5-2.6B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Mercury 2.5 Preview has the lower input price; LFM2.5-2.6B has the lower output price; Mercury 2.5 Preview offers the larger context window. For the 1M input plus 500K output sample, Mercury 2.5 Preview is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.57 for Mercury 2.5 Preview and $0.6 for LFM2.5-2.6B.

Best Fit

Choose Mercury 2.5 Preview when you care most about lower input-token price, and larger context window.

Choose LFM2.5-2.6B when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.57 vs $0.6 for LFM2.5-2.6B, saving $0.03 (4.2% lower).
  • Mercury 2.5 Preview is $0.03 cheaper on the standard workload (4.2% lower).
  • Mercury 2.5 Preview is $0.15 cheaper per 1M input tokens (42.9% lower; 1.75x difference).
  • LFM2.5-2.6B is $0.25 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Mercury 2.5 Preview has 132K more context (2.03x larger).
Head-to-Head Specs
FeatureMercury 2.5 Preview
(Inception)
LFM2.5-2.6B
(LiquidAI)
Input Price
prompt tokens per 1M
$0.2$0.35
Completion Price
per 1M tokens
$0.75$0.5
Sample Workload Cost
1M input + 500K output
$0.57$0.6
Context Window260K128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMercury 2.5 PreviewOn the standard 1M input plus 500K output workload, Mercury 2.5 Preview is estimated at $0.57 vs $0.6 for LFM2.5-2.6B, saving $0.03 (4.2% lower).
High-volume input processingMercury 2.5 PreviewLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLFM2.5-2.6BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMercury 2.5 PreviewA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Mercury 2.5 can replace Mercury 2.5 Preview when lower sample workload cost matters most: $0.11.
  • Mercury 3 can replace Mercury 2.5 Preview when lower sample workload cost matters most: $0.28.
  • LFM2.5-2.6B (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
  • LFM2.5-1.2B-Thinking (free) can replace LFM2.5-2.6B when lower sample workload cost matters most: $0.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Inception catalog

Review all tracked Inception models before deciding whether this matchup is the right shortlist.

Open Inception models

LiquidAI catalog

Check other LiquidAI models with comparable pricing, context, or release timing.

Open LiquidAI models
Mercury 2.5 Preview

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

LFM2.5-2.6B

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...