API cost decision in 10 seconds

NewLFM2.5-24B-A2B vs Ternary Bonsai 2 27B

Pick Ternary Bonsai 2 27B 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 Ternary Bonsai 2 27B when budget and context both matter.

On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.4 for LFM2.5-24B-A2B, saving $0.07 (18.7% lower).

Cost-first pickTernary Bonsai 2 27B
Context-first pickTernary Bonsai 2 27B
Sample savings$0.0718.7%
10x traffic gap$0.75

Ternary Bonsai 2 27B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.75. 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 LFM2.5-24B-A2B, balanced workload favors Ternary Bonsai 2 27B, and output-heavy chatbot favors Ternary Bonsai 2 27B.

Workload shapeToken mixBetter pickLFM2.5-24B-A2BTernary Bonsai 2 27B
Input-heavy / RAG5M input + 500K outputLFM2.5-24B-A2B$0.6$0.62
Balanced workload1M input + 1M outputTernary Bonsai 2 27B$0.75$0.57
Output-heavy chatbot1M input + 5M outputTernary Bonsai 2 27B$3.55$2.58
Cheaper input LFM2.5-24B-A2B $0.05 vs $0.075 / 1M

LFM2.5-24B-A2B is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output Ternary Bonsai 2 27B $0.7 vs $0.5 / 1M

Ternary Bonsai 2 27B is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context Ternary Bonsai 2 27B 128K vs 262.14K

Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).

Sample workload Ternary Bonsai 2 27B $0.4 vs $0.33

Ternary Bonsai 2 27B is $0.07 cheaper on the standard workload (18.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
LFM2.5-24B-A2B Calculating… Estimated API cost
Ternary Bonsai 2 27B 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

LFM2.5-24B-A2B has the lower input price; Ternary Bonsai 2 27B has the lower output price; Ternary Bonsai 2 27B offers the larger context window. For the 1M input plus 500K output sample, Ternary Bonsai 2 27B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for LFM2.5-24B-A2B and $0.33 for Ternary Bonsai 2 27B.

Best Fit

Choose LFM2.5-24B-A2B when you care most about lower input-token price.

Choose Ternary Bonsai 2 27B when you care most about lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.4 for LFM2.5-24B-A2B, saving $0.07 (18.7% lower).
  • Ternary Bonsai 2 27B is $0.07 cheaper on the standard workload (18.7% lower).
  • LFM2.5-24B-A2B is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
  • Ternary Bonsai 2 27B is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
  • Ternary Bonsai 2 27B has 134.14K more context (2.05x larger).
Head-to-Head Specs
FeatureNewLFM2.5-24B-A2B
(LiquidAI)
Ternary Bonsai 2 27B
(PrismML)
Input Price
prompt tokens per 1M
$0.05$0.075
Completion Price
per 1M tokens
$0.7$0.5
Sample Workload Cost
1M input + 500K output
$0.4$0.33
Context Window128K262.14K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTernary Bonsai 2 27BOn the standard 1M input plus 500K output workload, Ternary Bonsai 2 27B is estimated at $0.33 vs $0.4 for LFM2.5-24B-A2B, saving $0.07 (18.7% lower).
High-volume input processingLFM2.5-24B-A2BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsTernary Bonsai 2 27BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTernary Bonsai 2 27BA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.47 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

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Larger context alternatives

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

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Provider catalogs

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LiquidAI catalog

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

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PrismML catalog

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

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LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...

Ternary Bonsai 2 27B

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...