Laguna M.1 vs Laguna XS 2.1
Too close to call on our weighted score (Laguna M.1 68, Laguna XS 2.1 68). The right pick depends on what you value most.
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
- Poolside
Laguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Laguna M.1 68/100, Laguna XS 2.1 68/100), so choose by what matters most for your work: Laguna M.1 on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceLaguna M.1Laguna M.1 Free · Laguna XS 2.1 $0.075 per 1M tokens (3:1 blend)
- Longest contextAbout the sameLaguna M.1 262,144 · Laguna XS 2.1 262,144 tokens
- Widest inputsSame inputsLaguna M.1: Text · Laguna XS 2.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna M.1 | Laguna XS 2.1 |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 68/100 | 68/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Laguna M.1Poolside | Laguna XS 2.1Poolside |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | Free (best) | $0.06 |
| Output | Free (best) | $0.12 |
| Cached input | — | — |
| Blended (3:1) | Free (best) | $0.075 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Poolside API | Median of 1 providers |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | poolside/laguna-m.1 | poolside/laguna-xs-2.1 |
| API providers | 2 | 4 (best) |
| Released | Apr 28, 2026 | Jul 2, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Laguna M.1Free
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: Laguna M.1 or Laguna XS 2.1?
It is close. Our weighted score puts them within a point (Laguna M.1 68/100, Laguna XS 2.1 68/100), so choose by what matters most for your work: Laguna M.1 on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Laguna M.1 or Laguna XS 2.1?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). Laguna XS 2.1 costs $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). Laguna M.1 is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Laguna M.1 has not been scored yet and Laguna XS 2.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1 and Laguna XS 2.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Laguna M.1 and Laguna XS 2.1 share the same 262,144-token context window. Maximum output per response: Laguna M.1 up to 32,768, Laguna XS 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; Laguna XS 2.1 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Laguna XS 2.1 is the newest, released Jul 2, 2026. Laguna M.1 came out Apr 28, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
