North Mini Code vs Nemotron 3.5 Lightning 30B A3B vs Laguna M.1
Too close to call on our weighted score (Nemotron 3.5 Lightning 30B A3B 71, North Mini Code 71, Laguna M.1 68). The right pick depends on what you value most.
CohereNorth Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
NVIDIANemotron 3.5 Lightning 30B A3B
71/100- ECI—
- Price$0.05 / $0.20
- Context262K
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Nemotron 3.5 Lightning 30B A3B 71/100, North Mini Code 71/100, Laguna M.1 68/100), so choose by what matters most for your work: North Mini Code 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 priceNorth Mini Code and Laguna M.1North Mini Code Free · Laguna M.1 Free · Nemotron 3.5 Lightning 30B A3B $0.087 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Lightning 30B A3B and Laguna M.1Nemotron 3.5 Lightning 30B A3B 262,144 · Laguna M.1 262,144 · North Mini Code 256,000 tokens
- Widest inputsSame inputsNorth Mini Code: Text · Nemotron 3.5 Lightning 30B A3B: Text · Laguna M.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | North Mini Code | Nemotron 3.5 Lightning 30B A3B | Laguna M.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 45 | 45 | 35 |
| Context window | 20% | 36 | 37 | 37 |
| Overall | 100% | 71/100 | 71/100 | 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 | North Mini CodeCohere | Nemotron 3.5 Lightning 30B A3BNVIDIA | Laguna M.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $0.05 | Free (best) |
| Output | Free (best) | $0.20 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $0.087 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 9 providers | Official Poolside API |
| Limits | |||
| Context window | 256,000 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 64,000 tokens | 262,144 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yeshigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | north-mini-code-1-0 | nvidia/nemotron-3.5-lightning-30b-a3b | poolside/laguna-m.1 |
| API providers | 2 | 12 (best) | 2 |
| Released | Jun 9, 2026 | Aug 11, 2026 | Apr 28, 2026 |
| Knowledge cutoff | Sep 23, 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- North Mini CodeFree
- Nemotron 3.5 Lightning 30B A3B$0.90
- Laguna M.1Free
Which should you choose?
Which is better: North Mini Code, Nemotron 3.5 Lightning 30B A3B or Laguna M.1?
It is close. Our weighted score puts them within a point (Nemotron 3.5 Lightning 30B A3B 71/100, North Mini Code 71/100, Laguna M.1 68/100), so choose by what matters most for your work: North Mini Code 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, North Mini Code, Nemotron 3.5 Lightning 30B A3B or Laguna M.1?
North Mini Code is cheaper at Free input / Free output per million tokens (official Cohere API price). Laguna M.1 costs Free input / Free output per million tokens (official Poolside API price); Nemotron 3.5 Lightning 30B A3B costs $0.05 input / $0.20 output per million tokens (median across 9 API providers; free on Nvidia). North Mini Code is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. North Mini Code has not been scored yet, Nemotron 3.5 Lightning 30B A3B has not been scored yet and Laguna M.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for North Mini Code, Nemotron 3.5 Lightning 30B A3B and Laguna M.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Nemotron 3.5 Lightning 30B A3B and Laguna M.1 have the largest context windows (262,144 and 262,144 tokens), against 256,000 for North Mini Code. Maximum output per response: North Mini Code up to 64,000, Nemotron 3.5 Lightning 30B A3B up to 262,144, Laguna M.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
North Mini Code accepts text; Nemotron 3.5 Lightning 30B A3B accepts text; Laguna M.1 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Nemotron 3.5 Lightning 30B A3B is the newest, released Aug 11, 2026. North Mini Code came out Jun 9, 2026; Laguna M.1 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.
