Laguna XS.2 vs North Mini Code
North Mini Code comes out ahead, 41 to 36 on our weighted score, and it is the cheaper option too.
Poolside
Laguna XS.2
36/100- ECI—
- Price—
- Context262K
- Our pick
Cohere
North Mini Code
41/100- ECI—
- PriceFree / Free
- Context256K
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Make it a three-way comparison.
North Mini Code is our pick
North Mini Code is the better all-round choice, scoring 41/100 against Laguna XS.2 (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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 priceNorth Mini CodeNorth Mini Code Free per 1M tokens (3:1 blend) · Laguna XS.2 unpriced
- Longest contextLaguna XS.2Laguna XS.2 262,144 · North Mini Code 256,000 tokens
- Widest inputsSame inputsLaguna XS.2: Text · North Mini Code: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna XS.2 | North Mini Code |
|---|---|---|---|
| Inputs & features | 60% | 35 | 45 |
| Context window | 40% | 37 | 36 |
| Overall | 100% | 36/100 | 41/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | Free |
| Output | — | Free |
| Cached input | — | — |
| Blended (3:1) | — | Free |
| Long-context rate | — | Same rate |
| Price source | — | Official Cohere API |
| Limits | ||
| Context window | 262,144 tokens (best) | 256,000 tokens |
| Max output | 32,768 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeshigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | north-mini-code-1-0 |
| API providers | 1 | 2 (best) |
| Released | Apr 28, 2026 | Jun 9, 2026 |
| Knowledge cutoff | — | Sep 23, 2025 |
What would a month cost?
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Laguna XS.2—
North Mini CodeFree
Which should you choose?
Which is better: Laguna XS.2 or North Mini Code?
North Mini Code is the better all-round choice, scoring 41/100 against Laguna XS.2 (36). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Laguna XS.2 or North Mini Code?
North Mini Code is cheaper at Free input / Free output per million tokens (official Cohere API price). . North Mini Code is listed as free. Laguna XS.2 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Laguna XS.2 has not been scored yet and North Mini Code has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna XS.2 and North Mini Code 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 has the largest context window at 262,144 tokens, against 256,000 for North Mini Code. Maximum output per response: Laguna XS.2 up to 32,768, North Mini Code up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Laguna XS.2 accepts text; North Mini Code 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?
North Mini Code is the newest, released Jun 9, 2026. Laguna XS.2 came out Apr 28, 2026. Knowledge cutoff: North Mini Code Sep 23, 2025.
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.