API cost decision in 10 seconds

🔥Gemini 2.5 Flash Lite vs NewLaguna M.1 (free)

Pick Laguna M.1 (free) for lower cost; pick Gemini 2.5 Flash Lite 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 Laguna M.1 (free) for lower cost; pick Gemini 2.5 Flash Lite only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.3 for Gemini 2.5 Flash Lite, saving $0.3 (100% lower).

Cost-first pickLaguna M.1 (free)
Context-first pickGemini 2.5 Flash Lite
Sample savings$0.3100%
10x traffic gap$3

Gemini 2.5 Flash Lite has more context, but Laguna M.1 (free) saves $0.3 on the standard workload. At 10x that traffic, the same price gap is about $3. 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 pickGemini 2.5 Flash LiteLaguna M.1 (free)
Input-heavy / RAG5M input + 500K outputLaguna M.1 (free)$0.7$0
Balanced workload1M input + 1M outputLaguna M.1 (free)$0.5$0
Output-heavy chatbot1M input + 5M outputLaguna M.1 (free)$2.1$0
Cheaper input Laguna M.1 (free) $0.1 vs $0 / 1M

Laguna M.1 (free) is free for input tokens while Gemini 2.5 Flash Lite costs $0.1 per 1M tokens.

Cheaper output Laguna M.1 (free) $0.4 vs $0 / 1M

Laguna M.1 (free) is free for output tokens while Gemini 2.5 Flash Lite costs $0.4 per 1M tokens.

Larger context Gemini 2.5 Flash Lite 1.05M vs 131.07K

Gemini 2.5 Flash Lite has 917.5K more context (8x larger).

Sample workload Laguna M.1 (free) $0.3 vs $0

Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.3.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemini 2.5 Flash Lite Calculating… Estimated API cost
Laguna M.1 (free) 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; Gemini 2.5 Flash Lite 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 $0.3 for Gemini 2.5 Flash Lite and $0 for Laguna M.1 (free).

Best Fit

Choose Gemini 2.5 Flash Lite when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Laguna M.1 (free) is estimated at $0 vs $0.3 for Gemini 2.5 Flash Lite, saving $0.3 (100% lower).
  • Laguna M.1 (free) is free for the standard workload while the other model is estimated at $0.3.
  • Laguna M.1 (free) is free for input tokens while Gemini 2.5 Flash Lite costs $0.1 per 1M tokens.
  • Laguna M.1 (free) is free for output tokens while Gemini 2.5 Flash Lite costs $0.4 per 1M tokens.
  • Gemini 2.5 Flash Lite has 917.5K more context (8x larger).
Head-to-Head Specs
Feature🔥Gemini 2.5 Flash Lite
(Google)
NewLaguna M.1 (free)
(Poolside)
Input Price
prompt tokens per 1M
$0.1$0
Completion Price
per 1M tokens
$0.4$0
Sample Workload Cost
1M input + 500K output
$0.3$0
Context Window1.05M131.07K
Release Date
Popularity#10

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 $0.3 for Gemini 2.5 Flash Lite, saving $0.3 (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 workGemini 2.5 Flash LiteA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Gemma 4 26B A4B (free) can replace Gemini 2.5 Flash Lite when lower sample workload cost matters most: $0.
  • Gemma 4 31B (free) can replace Gemini 2.5 Flash Lite when lower sample workload cost matters most: $0.
  • Lyria 3 Pro Preview can replace Gemini 2.5 Flash Lite when lower sample workload cost matters most: $0.
  • Lyria 3 Clip Preview can replace Gemini 2.5 Flash Lite when lower sample workload cost matters most: $0.
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.

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

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Google catalog

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

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Poolside catalog

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

Open Poolside models
Gemini 2.5 Flash Lite

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance...

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...