Laguna M.1 vs Nemotron 3 Super 120B A12B vs Nemotron VoiceChat
Too close to call on our weighted score (Laguna M.1 68, Nemotron VoiceChat 65, Nemotron 3 Super 120B A12B 54). The right pick depends on what you value most.
Poolside
Laguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
NVIDIA
Nemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.20 / $0.80
- Context262K
NVIDIA
Nemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
Too close to call
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, Nemotron 3 Super 120B A12B 54/100), so choose by what matters most for your work: Laguna M.1 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 priceLaguna M.1 and Nemotron VoiceChatLaguna M.1 Free · Nemotron VoiceChat Free · Nemotron 3 Super 120B A12B $0.35 per 1M tokens (3:1 blend)
- Longest contextLaguna M.1 and Nemotron 3 Super 120B A12BLaguna M.1 262,144 · Nemotron 3 Super 120B A12B 262,144 · Nemotron VoiceChat 128,000 tokens
- Widest inputsNemotron VoiceChatLaguna M.1: Text · Nemotron 3 Super 120B A12B: Text · Nemotron VoiceChat: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna M.1 | Nemotron 3 Super 120B A12B | Nemotron VoiceChat |
|---|---|---|---|---|
| Price | 50% | 100 | 72 | 100 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 37 | 37 | 24 |
| Overall | 100% | 68/100 | 54/100 | 65/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $0.20 | Free (best) |
| Output | Free (best) | $0.80 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $0.35 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Poolside API | Official Nvidia API | Official Nvidia API |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 128,000 tokens |
| Max output | 32,768 tokens | 262,144 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | poolside/laguna-m.1 | nvidia/nemotron-3-super-120b-a12b | nvidia/nemotron-voicechat |
| API providers | 2 | 19 (best) | 1 |
| Released | Apr 28, 2026 | Mar 11, 2026 | Mar 16, 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 Super 120B A12B$3.60
Nemotron VoiceChatFree
Which should you choose?
Which is better: Laguna M.1, Nemotron 3 Super 120B A12B or Nemotron VoiceChat?
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, Nemotron 3 Super 120B A12B 54/100), so choose by what matters most for your work: Laguna M.1 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, Laguna M.1, Nemotron 3 Super 120B A12B or Nemotron VoiceChat?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). Nemotron VoiceChat costs Free input / Free output per million tokens (official Nvidia API price); Nemotron 3 Super 120B A12B costs $0.20 input / $0.80 output per million tokens (official Nvidia API price). 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 Super 120B A12B has not been scored yet and Nemotron VoiceChat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1, Nemotron 3 Super 120B A12B and Nemotron VoiceChat 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 and Nemotron 3 Super 120B A12B have the largest context windows (262,144 and 262,144 tokens), against 128,000 for Nemotron VoiceChat. Maximum output per response: Laguna M.1 up to 32,768, Nemotron 3 Super 120B A12B up to 262,144, Nemotron VoiceChat up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; Nemotron 3 Super 120B A12B accepts text; Nemotron VoiceChat accepts text and audio. Nemotron VoiceChat 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?
Laguna M.1 is the newest, released Apr 28, 2026. Nemotron VoiceChat came out Mar 16, 2026; Nemotron 3 Super 120B A12B came out Mar 11, 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.