Laguna M.1 vs Nemotron VoiceChat vs Voxtral Mini 3B 2507
Too close to call on our weighted score (Laguna M.1 68, Nemotron VoiceChat 65, Voxtral Mini 3B 2507 61). The right pick depends on what you value most.
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
NVIDIANemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
Mistral AIVoxtral Mini 3B 2507
61/100- ECI—
- Price$0.04 / $0.04
- Context33K
Too close to call
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, Voxtral Mini 3B 2507 61/100), 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 Nemotron VoiceChatLaguna M.1 Free · Nemotron VoiceChat Free · Voxtral Mini 3B 2507 $0.04 per 1M tokens (3:1 blend)
- Longest contextLaguna M.1Laguna M.1 262,144 · Nemotron VoiceChat 128,000 · Voxtral Mini 3B 2507 32,768 tokens
- Widest inputsNemotron VoiceChat and Voxtral Mini 3B 2507Laguna M.1: Text · Nemotron VoiceChat: Text, Audio · Voxtral Mini 3B 2507: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna M.1 | Nemotron VoiceChat | Voxtral Mini 3B 2507 |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 35 | 35 | 35 |
| Context window | 20% | 37 | 24 | 0 |
| Overall | 100% | 68/100 | 65/100 | 61/100 |
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 VoiceChatNVIDIA | Voxtral Mini 3B 2507Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | Free (best) | $0.04 |
| Output | Free (best) | Free (best) | $0.04 |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | Free (best) | $0.04 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Poolside API | Official Nvidia API | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 128,000 tokens | 32,768 tokens |
| Max output | 32,768 tokens (best) | 8,192 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | Yes | Yes |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | OpenApache 2.0 |
| API model ID | poolside/laguna-m.1 | nvidia/nemotron-voicechat | — |
| API providers | 2 | 1 | 3 (best) |
| Released | Apr 28, 2026 | Mar 16, 2026 | Jul 15, 2025 |
| 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 VoiceChatFree
- Voxtral Mini 3B 2507$0.48
Which should you choose?
Which is better: Laguna M.1, Nemotron VoiceChat or Voxtral Mini 3B 2507?
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, Voxtral Mini 3B 2507 61/100), 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 VoiceChat or Voxtral Mini 3B 2507?
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); Voxtral Mini 3B 2507 costs $0.04 input / $0.04 output per million tokens (median across 2 API providers). 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 VoiceChat has not been scored yet and Voxtral Mini 3B 2507 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1, Nemotron VoiceChat and Voxtral Mini 3B 2507 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 128,000 for Nemotron VoiceChat and 32,768 for Voxtral Mini 3B 2507. Maximum output per response: Laguna M.1 up to 32,768, Nemotron VoiceChat up to 8,192, Voxtral Mini 3B 2507 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; Nemotron VoiceChat accepts text and audio; Voxtral Mini 3B 2507 accepts text and audio. Nemotron VoiceChat handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (Apache 2.0), 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; Voxtral Mini 3B 2507 came out Jul 15, 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 Nov 2, 2026.
