API cost decision in 10 seconds

LFM2.5-1.2B-Thinking (free) vs Olmo 3 32B Think

Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick Olmo 3 32B Think only if the larger context window matters more.

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

Budget verdict

Pick LFM2.5-1.2B-Thinking (free) for lower cost; pick Olmo 3 32B Think only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).

Cost-first pickLFM2.5-1.2B-Thinking (free)
Context-first pickOlmo 3 32B Think
Sample savings$0.4100%
10x traffic gap$4

Olmo 3 32B Think has more context, but LFM2.5-1.2B-Thinking (free) saves $0.4 on the standard workload. At 10x that traffic, the same price gap is about $4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2.5-1.2B-Thinking (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLFM2.5-1.2B-Thinking (free)Olmo 3 32B Think
Input-heavy / RAG5M input + 500K outputLFM2.5-1.2B-Thinking (free)$0$1
Balanced workload1M input + 1M outputLFM2.5-1.2B-Thinking (free)$0$0.65
Output-heavy chatbot1M input + 5M outputLFM2.5-1.2B-Thinking (free)$0$2.65
Cheaper input LFM2.5-1.2B-Thinking (free) $0 vs $0.15 / 1M

LFM2.5-1.2B-Thinking (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.

Cheaper output LFM2.5-1.2B-Thinking (free) $0 vs $0.5 / 1M

LFM2.5-1.2B-Thinking (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.

Larger context Olmo 3 32B Think 32.77K vs 65.54K

Olmo 3 32B Think has 32.77K more context (2x larger).

Sample workload LFM2.5-1.2B-Thinking (free) $0 vs $0.4

LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $0.4.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
LFM2.5-1.2B-Thinking (free) Calculating… Estimated API cost
Olmo 3 32B Think 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

LFM2.5-1.2B-Thinking (free) has the lower input price; LFM2.5-1.2B-Thinking (free) has the lower output price; Olmo 3 32B Think offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-1.2B-Thinking (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for LFM2.5-1.2B-Thinking (free) and $0.4 for Olmo 3 32B Think.

Best Fit

Choose LFM2.5-1.2B-Thinking (free) when you care most about lower input-token price, and lower output-token price.

Choose Olmo 3 32B Think when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
  • LFM2.5-1.2B-Thinking (free) is free for the standard workload while the other model is estimated at $0.4.
  • LFM2.5-1.2B-Thinking (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.
  • LFM2.5-1.2B-Thinking (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.
  • Olmo 3 32B Think has 32.77K more context (2x larger).
Head-to-Head Specs
FeatureLFM2.5-1.2B-Thinking (free)
(LiquidAI)		Olmo 3 32B Think
(AllenAI)
Input Price
prompt tokens per 1M		$0$0.15
Completion Price
per 1M tokens		$0$0.5
Sample Workload Cost
1M input + 500K output		$0$0.4
Context Window32.77K65.54K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLFM2.5-1.2B-Thinking (free)On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Thinking (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
High-volume input processingLFM2.5-1.2B-Thinking (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLFM2.5-1.2B-Thinking (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workOlmo 3 32B ThinkA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.
Larger context near this budget

Cheaper alternatives

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

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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

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AllenAI catalog

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

Open AllenAI models
LFM2.5-1.2B-Thinking (free)

LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is...

Olmo 3 32B Think

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...