Laguna M.1 vs Nemotron 3 Nano Omni 30B A3B Reasoning vs North Mini Code
Too close to call on our weighted score (North Mini Code 71, Nemotron 3 Nano Omni 30B A3B Reasoning 69, Laguna M.1 68). The right pick depends on what you value most.
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
NVIDIANemotron 3 Nano Omni 30B A3B Reasoning
69/100- ECI—
- Price$0.25 / $0.85
- Context256K
CohereNorth Mini Code
71/100- ECI—
- PriceFree / Free
- Context256K
Too close to call
It is close. Our weighted score puts them within 2 points (North Mini Code 71/100, Nemotron 3 Nano Omni 30B A3B Reasoning 69/100, Laguna M.1 68/100), so choose by what matters most for your work: Laguna M.1 on price and Laguna M.1 for long inputs. 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.1 and North Mini CodeLaguna M.1 Free · North Mini Code Free · Nemotron 3 Nano Omni 30B A3B Reasoning $0.40 per 1M tokens (3:1 blend)
- Longest contextLaguna M.1Laguna M.1 262,144 · Nemotron 3 Nano Omni 30B A3B Reasoning 256,000 · North Mini Code 256,000 tokens
- Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningLaguna M.1: Text · Nemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video · North Mini Code: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna M.1 | Nemotron 3 Nano Omni 30B A3B Reasoning | North Mini Code |
|---|---|---|---|---|
| Price | 50% | 100 | 69 | 100 |
| Inputs & features | 30% | 35 | 90 | 45 |
| Context window | 20% | 37 | 36 | 36 |
| Overall | 100% | 68/100 | 69/100 | 71/100 |
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 | Nemotron 3 Nano Omni 30B A3B ReasoningNVIDIA | North Mini CodeCohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $0.25 | Free (best) |
| Output | Free (best) | $0.85 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $0.40 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Poolside API | Median of 4 providers | Official Cohere API |
| Limits | |||
| Context window | 262,144 tokens (best) | 256,000 tokens | 256,000 tokens |
| Max output | 32,768 tokens | 65,536 tokens (best) | 64,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yeshigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | poolside/laguna-m.1 | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning | north-mini-code-1-0 |
| API providers | 2 | 8 (best) | 2 |
| Released | Apr 28, 2026 | Apr 28, 2026 | Jun 9, 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.
- Laguna M.1Free
- Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
- North Mini CodeFree
Which should you choose?
Which is better: Laguna M.1, Nemotron 3 Nano Omni 30B A3B Reasoning or North Mini Code?
It is close. Our weighted score puts them within 2 points (North Mini Code 71/100, Nemotron 3 Nano Omni 30B A3B Reasoning 69/100, Laguna M.1 68/100), so choose by what matters most for your work: Laguna M.1 on price and Laguna M.1 for long inputs. 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, Nemotron 3 Nano Omni 30B A3B Reasoning or North Mini Code?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). North Mini Code costs Free input / Free output per million tokens (official Cohere API price); Nemotron 3 Nano Omni 30B A3B Reasoning costs $0.25 input / $0.85 output per million tokens (median across 4 API providers; free on Nvidia). Laguna M.1 is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Laguna M.1 has not been scored yet, Nemotron 3 Nano Omni 30B A3B Reasoning 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 M.1, Nemotron 3 Nano Omni 30B A3B Reasoning and North Mini Code 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?
Laguna M.1 has the largest context window at 262,144 tokens, against 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning and 256,000 for North Mini Code. Maximum output per response: Laguna M.1 up to 32,768, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536, North Mini Code up to 64,000 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; Nemotron 3 Nano Omni 30B A3B Reasoning accepts text, images, audio and video; North Mini Code accepts text. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
North Mini Code is the newest, released Jun 9, 2026. Laguna M.1 came out Apr 28, 2026; Nemotron 3 Nano Omni 30B A3B Reasoning 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.
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