As of August 30, 2026, LFM2.5-2.6B is 87% cheaper per million tokens than Laguna XS 2.1. Laguna XS 2.1 is $0.10 / $0.20 per million input/output tokens versus LFM2.5-2.6B at $0.02 / $0.02. Sources: https://poolside.ai and https://www.liquid.ai
Sources: Poolside pricing (https://poolside.ai); Liquid AI pricing (https://www.liquid.ai)
Laguna XS 2.1
Poolside
Input
$0.10
Output
$0.20
LFM2.5-2.6B
Liquid AI
Input
$0.02
Output
$0.02
Token pricing, specs, and benchmarks side by side
Laguna XS 2.1LFM2.5-2.6BVerdict
Both models are closely matched on benchmarks. LFM2.5-2.6B has the pricing advantage, making it the better value unless Laguna XS 2.1's specific capabilities are critical to your workflow.
As of August 30, 2026, LFM2.5-2.6B is 87% cheaper on blended LLM API pricing. LFM2.5-2.6B costs $0.02 per million input tokens and $0.02 per million output tokens ($0.04 blended 1M-in + 1M-out). Laguna XS 2.1 costs $0.10 / $0.20 per million tokens ($0.30 blended). Sources: https://poolside.ai and https://www.liquid.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
Laguna XS 2.1 Poolside API pricing is $0.10 input and $0.20 output per million tokens via Poolside. LFM2.5-2.6B Liquid AI API pricing is $0.02 input and $0.02 output per million tokens via Liquid AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Laguna XS 2.1 has a published SWE-bench Verified score of 70.9%. LFM2.5-2.6B does not have that eval on this page yet.
Laguna XS 2.1 supports a 262K token context window, while LFM2.5-2.6B supports 66K tokens. Laguna XS 2.1 offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Shared benchmark scores for Laguna XS 2.1 and LFM2.5-2.6B are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Laguna XS 2.1 and LFM2.5-2.6B are production API models. For cost-sensitive production traffic, LFM2.5-2.6B has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Laguna XS 2.1 through Poolside and LFM2.5-2.6B through Liquid AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Poolside API pricing and Liquid AI API pricing, quoted per million tokens. Official rate sheets: https://poolside.ai and https://www.liquid.ai. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Laguna XS 2.1 supports up to an unspecified number of output tokens per request, while LFM2.5-2.6B supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither Laguna XS 2.1 nor LFM2.5-2.6B has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Laguna XS 2.1 or LFM2.5-2.6B from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Laguna XS 2.1 costs $0.10/M input and $0.20/M output. LFM2.5-2.6B costs $0.02/M input and $0.02/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
343 models across 36 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
