Toast 1 vs Laguna XS 2.1
Laguna XS 2.1 comes out ahead, 68 to 47 on our weighted score, and it is the cheaper option too.
Mixedbread
Toast 1
47/100- ECI—
- Price$0.30 / $0.72
- Context131K
- Our pick
PoolsideLaguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
Add a model
Make it a three-way comparison.
Laguna XS 2.1 is our pick
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against Toast 1 (47). It leads on price, inputs & features and context window. 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 XS 2.1Laguna XS 2.1 $0.075 · Toast 1 $0.405 per 1M tokens (3:1 blend)
- Longest contextLaguna XS 2.1Laguna XS 2.1 262,144 · Toast 1 131,000 tokens
- Widest inputsSame inputsToast 1: Text · Laguna XS 2.1: Text
- Self-hostingLaguna XS 2.1Publishes downloadable weights
| Measure | Weight | Toast 1 | Laguna XS 2.1 |
|---|---|---|---|
| Price | 50% | 68 | 100 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 24 | 37 |
| Overall | 100% | 47/100 | 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 | Toast 1Mixedbread | Laguna XS 2.1Poolside |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.06 (best) |
| Output | $0.72 | $0.12 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.405 | $0.075 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers |
| Limits | ||
| Context window | 131,000 tokens | 262,144 tokens (best) |
| Max output | 4,000 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | poolside/laguna-xs-2.1 |
| API providers | 1 | 4 (best) |
| Released | Aug 13, 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.
- Toast 1$4.44
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: Toast 1 or Laguna XS 2.1?
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against Toast 1 (47). It leads on price, inputs & features and context window. 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, Toast 1 or Laguna XS 2.1?
Laguna XS 2.1 is cheaper at $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). Toast 1 costs $0.30 input / $0.72 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for Laguna XS 2.1 versus $0.405 for Toast 1 (5.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Toast 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 Toast 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 XS 2.1 has the largest context window at 262,144 tokens, against 131,000 for Toast 1. Maximum output per response: Toast 1 up to 4,000, Laguna XS 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Toast 1 accepts text; Laguna XS 2.1 accepts text. They handle the same number of input types.
Are any of these open source?
Laguna XS 2.1 publishes its weights and can be self-hosted; Toast 1 is proprietary.
Which is newer?
Toast 1 is the newest, released Aug 13, 2026. Laguna XS 2.1 came out Jul 2, 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.
