Poolside Laguna models: a whole repository held in context
Poolside
Services found: 2
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 1 |  Laguna S 2.1 Poolside |    | $0.09 / $0.18 | 1.05M tokens | API only | 0.18 | View | |
| 2 | Laguna XS 2.1 Poolside |  | $0.06 / $0.12 | 262.1K tokens | API only | 0.12 | View |
Browse by need
Poolside builds only for code. Laguna S 2.1 runs at $0.09 input and $0.18 output per 1M tokens, with the XS variant cheaper still — an unusually low rate for a dedicated coding model.
The narrow focus is the pitch: a model trained on engineering workflows rather than general text, aimed at teams that want an in-house assistant without paying frontier rates for every completion.
Code onlyNo general chat ambitions.
Very low ratesUnder $0.20 per 1M output on both variants.
Enterprise deploymentAimed at in-house rather than consumer use.
Models from this vendor
2 Poolside models in this rating. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Benchmark against a comparable model from a larger vendor before committing production traffic — line-ups this size get less independent testing.
- Start with Laguna XS 2.1 at $0.06 / $0.12 per 1M tokens; it is the cheapest entry point here.
- Move up to Laguna S 2.1 at $0.09 / $0.18 only where the cheaper variant visibly fails, not by default.
- Check the context window against your longest input — the largest here is Laguna XS 2.1 at 262.1K tokens.
Common mistakes
Assuming parity with the majorsOn the hardest tasks the frontier labs remain ahead; compare on your own cases.
Skipping the exit planA smaller vendor can change terms or availability faster. Identify a fallback model before you depend on this one.
Who this suits
Cost-driven teamsLaguna XS 2.1 at $0.06 / $0.12 undercuts most mainstream options.
EvaluatorsA useful comparison point when benchmarking the models against larger line-ups.
Regional usersRelevant where this vendor platform or language coverage matters more than raw capability.
Related filters
Text & chat228 models for text generation and chat
Coding17 models built for writing code
Long context 1M+82 models holding 1M tokens or more
MultilingualAll 239 models work beyond English
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating
Frequently asked questions
How does Laguna compare with Codex or Codestral?
Cheaper per token; evaluate on your own repository before switching.
Is it available publicly?
Access is enterprise-oriented rather than open self-serve.
Does it do fill-in-the-middle?
It targets engineering workflows, so test this against your editor integration.
How many Poolside models are in this rating?
2, covering text & chat, coding, long context 1M+.
Is Poolside a good default choice?
For most teams no — start with a mainstream vendor and use this one where its pricing or specialisation gives a concrete advantage.
Frequently searched
By capabilityReasoningCodingVisionLong context 1M+Free tierOpen weightsLow latencyRealtime voiceImage generation
By vendorAnthropic (13)OpenAI (30)Google DeepMind (17)xAI (8)Meta (6)DeepSeek (9)Mistral AI (11)Alibaba (Qwen) (34)Z.ai (12)Moonshot AI (5)
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