Model index · Text · text generation · reasoning · open weights · Poolside · released 2026-07-02

Laguna XS 2.1 pricing

Served by 2 providers from $0.0750 to $0.0750 per 1M tokens on the standard tier.

A reasoning model — the headline price is not the whole bill

This model thinks before it answers, and those thinking tokens are billed at the output rate while never appearing in the response. A request can therefore cost several times what the per-1M figure suggests, and the multiplier depends on your prompts rather than on anything we can publish. Compare it against other reasoning models — the alternatives below are ordered to put those first.

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026). It combines...

Poolside · 33.44B parameters · openmdw-1.1 · first published 2026-07-02 · Text model · text generation · 262k context · description as published by the source, not written by us

Open weights: poolside/Laguna-XS-2.1 · 33.44B parameters counted from the weight files · licence openmdw-1.1 · 0.0M downloads in the last 30 days . Parameter count and licence come from the public weights registry, not from a seller — and the download figure exists only for models published this way, so it is not a market-wide popularity measure.

$0.0750

Cheapest standard /1M — Poolside

262k

Native context window

2

Providers serving it

Quality not measured yet

Quality not measured yet

We measure models on request rather than pre-scoring the whole catalog, so this one has no score yet. Absence of a score is not a low score.

Every provider and service tier

Standard on-demand rows first, cheapest of each group first. Tiers are not interchangeable — see the note below the table.

Provider In /1M Out /1M Blended /1M Tier Region Source
Poolside cheapest standard $0.0600 $0.1200 $0.0750 standard third_party
OpenRouter (default route) *
resells other hosts
$0.0600 $0.1200 $0.0750 standard provider_api

* OpenRouter chooses a host for each request, and the figure above is what its default choice costs — not a fixed rate for this model. Selecting a specific host through the same account costs whatever that host charges, which is why this row can sit above or below the hosts listed beside it. Token rates are passed through from the underlying provider with no markup, so the per-1M price above is what that host charges directly — OpenRouter's own charge sits on funding instead: 5.5% (min $0.80) by Stripe or 5% by Coinbase to buy credits, 5% of the equivalent spend if you bring your own provider key. So budget about 5% above the rate shown unless you already hold credit. Fee schedule.

Compare Laguna XS 2.1 with alternatives

One model per vendor, ordered by how prominent the vendor is and how many independent providers serve the model — hosts only carry what customers ask for, so that is a real demand signal. This is not traffic or popularity data, which we do not have. Every alternative below does the same job — text generation — because a price comparison between a generator and, say, an upscaler is arithmetic rather than advice. Prices on both sides are standard on-demand rates, so the comparison is like for like — a discounted batch or flex rate is never shown against another model’s standard rate.

AlternativeVendor $/1M vs Laguna XS 2.1 QualityKindContextHosts
DeepSeek V3.2 DeepSeek $0.2413
StreamLake
222% dearer 60/100 reasoning
open weights
164k 16
Qwen3 VL 30B A3B Thinking Alibaba $0.4650
DeepInfra
520% dearer 80/100 reasoning
open weights
262k 3
Kimi K2.5 MoonshotAI $0.7875
DigitalOcean
950% dearer 75/100 reasoning
open weights
262k 15
MiniMax M2.5 Minimax $0.3900
Inceptron
420% dearer 0/100 reasoning
open weights
205k 12
MiMo-V2.5 Xiaomi $0.1750
Xiaomi
133% dearer 100/100 reasoning
open weights
1.05M 5
Nemotron 3 Nano 30B A3B NVIDIA $0.0875
OpenRouter (default route)
17% dearer not measured reasoning 262k 8
Gemma 4 31B Google $0.1475
OpenInference
97% dearer not measured reasoning
open weights
262k 24
gpt-oss-20b OpenAI $0.0550
OpenRouter (default route)
27% cheaper not measured reasoning
open weights
131k 16

Prices are the cheapest host for each model, blended at a 3:1 input:output ratio. "Quality" is our own probe suite where we have run it — see what it measures. A cheaper alternative is only a real saving if it also passes on the capability your workload needs.

1 of these alternatives cost less than Laguna XS 2.1 — the cheapest being gpt-oss-20b at $0.0550 per 1M tokens blended (27% cheaper).

Cheaper is not automatically better: check the quality column, and confirm the context window and capabilities your workload depends on before switching.

Before you switch

Identical weights do not guarantee identical output. Check that the cheaper host serves the model at full precision rather than a quantised copy, that its context window matches what you need, and that its rate limits carry your peak traffic. A cheaper host that cannot take your throughput is not cheaper — it is an outage.

Move to Poolside without a rewrite

VernaOne fronts every provider on this page with one API, so switching host is a config change — with automatic fallback if quality or latency regresses.

Try VernaOne free →

Frequently asked

How much does Laguna XS 2.1 cost?

The cheapest standard-tier provider is Poolside at $0.0750 per 1M tokens blended (3:1 input:output). Prices change often; verify with the provider before budgeting.

Which provider is best for Laguna XS 2.1?

Cheapest is not automatically best. Compare quantisation (a lossy copy of the weights changes output), the context window each host actually serves, and rate limits. Where a provider serves less context than the model's native window we flag it in the table above.

Can I switch providers for Laguna XS 2.1 without changing code?

Yes, if you route through an abstraction. VernaOne exposes one API across every provider listed here, so switching host is a config change and you keep automatic fallback if the new one degrades.

← All models · Generated catalog of AI models and every provider that serves them, with normalised prices in USD per 1,000,000 tokens. Blended prices assume a 3:1 input:output ratio.