API cost decision in 10 seconds

NewLaguna M.1 (free) vs Olmo 3 32B Think

Pick Laguna M.1 (free) when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Laguna M.1 (free) when budget and context both matter.

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

Cost-first pickLaguna M.1 (free)

Context-first pickLaguna M.1 (free)

Sample savings$0.4100%

10x traffic gap$4

Laguna M.1 (free) is cheaper on the standard workload and also has the larger context window. 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.

Laguna M.1 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Laguna M.1 (free)	Olmo 3 32B Think
Input-heavy / RAG	5M input + 500K output	Laguna M.1 (free)	$0	$1
Balanced workload	1M input + 1M output	Laguna M.1 (free)	$0	$0.65
Output-heavy chatbot	1M input + 5M output	Laguna M.1 (free)	$0	$2.65

Cheaper input Laguna M.1 (free) $0 vs $0.15 / 1M

Laguna M.1 (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.

Cheaper output Laguna M.1 (free) $0 vs $0.5 / 1M

Laguna M.1 (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.

Larger context Laguna M.1 (free) 131.07K vs 65.54K

Laguna M.1 (free) has 65.54K more context (2x larger).

Sample workload Laguna M.1 (free) $0 vs $0.4

Laguna M.1 (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.

Monthly input tokens Monthly output tokens

Laguna M.1 (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

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

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

Best Fit

Choose Laguna M.1 (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Olmo 3 32B Think 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, Laguna M.1 (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.4.
Laguna M.1 (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.
Laguna M.1 (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.
Laguna M.1 (free) has 65.54K more context (2x larger).

Head-to-Head Specs

Feature	NewLaguna M.1 (free) (Poolside)	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 Window	131.07K	65.54K
Release Date	2026-04-28	2025-11-21

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Laguna M.1 (free)	On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
High-volume input processing	Laguna M.1 (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Laguna M.1 (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Laguna M.1 (free)	A 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

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

No popular competitor is currently available.

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

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

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Poolside catalog

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

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AllenAI catalog

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

Open AllenAI models

Laguna M.1 (free)

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K...

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...