API cost decision in 10 seconds

NewCoBuddy (free) vs LFM2-24B-A2B

Pick CoBuddy (free) 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 CoBuddy (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.09 for LFM2-24B-A2B, saving $0.09 (100% lower).

Cost-first pickCoBuddy (free)
Context-first pickCoBuddy (free)
Sample savings$0.09100%
10x traffic gap$0.9

CoBuddy (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.9. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

CoBuddy (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickCoBuddy (free)LFM2-24B-A2B
Input-heavy / RAG5M input + 500K outputCoBuddy (free)$0$0.21
Balanced workload1M input + 1M outputCoBuddy (free)$0$0.15
Output-heavy chatbot1M input + 5M outputCoBuddy (free)$0$0.63
Cheaper input CoBuddy (free) $0 vs $0.03 / 1M

CoBuddy (free) is free for input tokens while LFM2-24B-A2B costs $0.03 per 1M tokens.

Cheaper output CoBuddy (free) $0 vs $0.12 / 1M

CoBuddy (free) is free for output tokens while LFM2-24B-A2B costs $0.12 per 1M tokens.

Larger context CoBuddy (free) 131.07K vs 128K

CoBuddy (free) has 3.07K more context (1.02x larger).

Sample workload CoBuddy (free) $0 vs $0.09

CoBuddy (free) is free for the standard workload while the other model is estimated at $0.09.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
CoBuddy (free) Calculating… Estimated API cost
LFM2-24B-A2B 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

CoBuddy (free) has the lower input price; CoBuddy (free) has the lower output price; CoBuddy (free) offers the larger context window. For the 1M input plus 500K output sample, CoBuddy (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $0.09 for LFM2-24B-A2B.

Best Fit

Choose CoBuddy (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose LFM2-24B-A2B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.09 for LFM2-24B-A2B, saving $0.09 (100% lower).
  • CoBuddy (free) is free for the standard workload while the other model is estimated at $0.09.
  • CoBuddy (free) is free for input tokens while LFM2-24B-A2B costs $0.03 per 1M tokens.
  • CoBuddy (free) is free for output tokens while LFM2-24B-A2B costs $0.12 per 1M tokens.
  • CoBuddy (free) has 3.07K more context (1.02x larger).
Head-to-Head Specs
FeatureNewCoBuddy (free)
(Baidu Qianfan)
LFM2-24B-A2B
(LiquidAI)
Input Price
prompt tokens per 1M
$0$0.03
Completion Price
per 1M tokens
$0$0.12
Sample Workload Cost
1M input + 500K output
$0$0.09
Context Window131.07K128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionCoBuddy (free)On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.09 for LFM2-24B-A2B, saving $0.09 (100% lower).
High-volume input processingCoBuddy (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsCoBuddy (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workCoBuddy (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Provider catalogs

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Baidu Qianfan catalog

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LiquidAI catalog

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