API cost decision in 10 seconds

NewLaguna M.1 (free) vs R1 0528

Pick Laguna M.1 (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 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 $1.57 for R1 0528, saving $1.57 (100% lower).

Cost-first pickLaguna M.1 (free)
Context-first pickLaguna M.1 (free)
Sample savings$1.57100%
10x traffic gap$15.75

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 $15.75. 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 shapeToken mixBetter pickLaguna M.1 (free)R1 0528
Input-heavy / RAG5M input + 500K outputLaguna M.1 (free)$0$3.58
Balanced workload1M input + 1M outputLaguna M.1 (free)$0$2.65
Output-heavy chatbot1M input + 5M outputLaguna M.1 (free)$0$11.25
Cheaper input Laguna M.1 (free) $0 vs $0.5 / 1M

Laguna M.1 (free) is free for input tokens while R1 0528 costs $0.5 per 1M tokens.

Cheaper output Laguna M.1 (free) $0 vs $2.15 / 1M

Laguna M.1 (free) is free for output tokens while R1 0528 costs $2.15 per 1M tokens.

Larger context Laguna M.1 (free) 262.14K vs 163.84K

Laguna M.1 (free) has 98.3K more context (1.6x larger).

Sample workload Laguna M.1 (free) $0 vs $1.57

Laguna M.1 (free) is free for the standard workload while the other model is estimated at $1.57.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Laguna M.1 (free) Calculating… Estimated API cost
R1 0528 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 $1.57 for R1 0528.

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 R1 0528 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 $1.57 for R1 0528, saving $1.57 (100% lower).
  • Laguna M.1 (free) is free for the standard workload while the other model is estimated at $1.57.
  • Laguna M.1 (free) is free for input tokens while R1 0528 costs $0.5 per 1M tokens.
  • Laguna M.1 (free) is free for output tokens while R1 0528 costs $2.15 per 1M tokens.
  • Laguna M.1 (free) has 98.3K more context (1.6x larger).
Head-to-Head Specs
FeatureNewLaguna M.1 (free)
(Poolside)
R1 0528
(DeepSeek)
Input Price
prompt tokens per 1M
$0$0.5
Completion Price
per 1M tokens
$0$2.15
Sample Workload Cost
1M input + 500K output
$0$1.57
Context Window262.14K163.84K
Release Date
Popularity#21#106

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLaguna M.1 (free)On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $1.57 for R1 0528, saving $1.57 (100% lower).
High-volume input processingLaguna M.1 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLaguna M.1 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workLaguna M.1 (free)A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Larger context alternatives

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Provider catalogs

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Open provider hubs

Poolside catalog

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

Open Poolside models

DeepSeek catalog

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

Open DeepSeek 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...

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...