Laguna M.1 vs Nemotron 3 Nano Omni 30B A3B Reasoning
Too close to call on our weighted score (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
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (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.1Laguna M.1 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 tokens
- Widest inputsNemotron 3 Nano Omni 30B A3B ReasoningLaguna M.1: Text · Nemotron 3 Nano Omni 30B A3B Reasoning: Text, Images, Audio, Video
- 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 |
|---|---|---|---|
| Price | 50% | 100 | 69 |
| Inputs & features | 30% | 35 | 90 |
| Context window | 20% | 37 | 36 |
| Overall | 100% | 68/100 | 69/100 |
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 |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | Free (best) | $0.25 |
| Output | Free (best) | $0.85 |
| Cached input | — | — |
| Blended (3:1) | Free (best) | $0.40 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Poolside API | Median of 4 providers |
| Limits | ||
| Context window | 262,144 tokens (best) | 256,000 tokens |
| Max output | 32,768 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | poolside/laguna-m.1 | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning |
| API providers | 2 | 8 (best) |
| Released | Apr 28, 2026 | Apr 28, 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
- Nemotron 3 Nano Omni 30B A3B Reasoning$4.20
Which should you choose?
Which is better: Laguna M.1 or Nemotron 3 Nano Omni 30B A3B Reasoning?
It is close. Our weighted score puts them within a point (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 or Nemotron 3 Nano Omni 30B A3B Reasoning?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside 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 both models yet. Laguna M.1 has not been scored yet and Nemotron 3 Nano Omni 30B A3B Reasoning has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1 and Nemotron 3 Nano Omni 30B A3B Reasoning 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 has the largest context window at 262,144 tokens, against 256,000 for Nemotron 3 Nano Omni 30B A3B Reasoning. Maximum output per response: Laguna M.1 up to 32,768, Nemotron 3 Nano Omni 30B A3B Reasoning up to 65,536 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. Nemotron 3 Nano Omni 30B A3B Reasoning handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Laguna M.1 is the newest, released Apr 28, 2026. Nemotron 3 Nano Omni 30B A3B Reasoning 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.
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