Nemotron VoiceChat vs PaddleOCR VL vs Laguna M.1
Too close to call on our weighted score (Laguna M.1 68, Nemotron VoiceChat 65, PaddleOCR VL 62). The right pick depends on what you value most.
NVIDIANemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
PaddlePaddle
PaddleOCR VL
62/100- ECI—
- Price$0.02 / $0.02
- Context131K
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
Too close to call
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, PaddleOCR VL 62/100), so choose by what matters most for your work: Nemotron VoiceChat 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 priceNemotron VoiceChat and Laguna M.1Nemotron VoiceChat Free · Laguna M.1 Free · PaddleOCR VL $0.02 per 1M tokens (3:1 blend)
- Longest contextLaguna M.1Laguna M.1 262,144 · PaddleOCR VL 131,072 · Nemotron VoiceChat 128,000 tokens
- Widest inputsNemotron VoiceChat and PaddleOCR VLNemotron VoiceChat: Text, Audio · PaddleOCR VL: Text, Images · Laguna M.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron VoiceChat | PaddleOCR VL | Laguna M.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 35 | 25 | 35 |
| Context window | 20% | 24 | 25 | 37 |
| Overall | 100% | 65/100 | 62/100 | 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 | Nemotron VoiceChatNVIDIA | PaddleOCR VLPaddlePaddle | Laguna M.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | Free (best) | $0.02 | Free (best) |
| Output | Free (best) | $0.02 | Free (best) |
| Cached input | — | — | — |
| Blended (3:1) | Free (best) | $0.02 | Free (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Nvidia API | Median of 1 providers | Official Poolside API |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens | 262,144 tokens (best) |
| Max output | 8,192 tokens | 16,384 tokens | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | OpenApache-2.0 | Open |
| API model ID | nvidia/nemotron-voicechat | — | poolside/laguna-m.1 |
| API providers | 1 | 1 | 2 (best) |
| Released | Mar 16, 2026 | Oct 16, 2025 | 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.
- Nemotron VoiceChatFree
- PaddleOCR VL$0.24
- Laguna M.1Free
Which should you choose?
Which is better: Nemotron VoiceChat, PaddleOCR VL or Laguna M.1?
It is close. Our weighted score puts them within 3 points (Laguna M.1 68/100, Nemotron VoiceChat 65/100, PaddleOCR VL 62/100), so choose by what matters most for your work: Nemotron VoiceChat 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, Nemotron VoiceChat, PaddleOCR VL or Laguna M.1?
Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia API price). Laguna M.1 costs Free input / Free output per million tokens (official Poolside API price); PaddleOCR VL costs $0.02 input / $0.02 output per million tokens (median across 1 API provider). Nemotron VoiceChat is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron VoiceChat has not been scored yet, PaddleOCR VL 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 Nemotron VoiceChat, PaddleOCR VL and Laguna M.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that PaddleOCR VL does not support tool calling, which most coding agents need.
Which has the bigger context window?
Laguna M.1 has the largest context window at 262,144 tokens, against 131,072 for PaddleOCR VL and 128,000 for Nemotron VoiceChat. Maximum output per response: Nemotron VoiceChat up to 8,192, PaddleOCR VL up to 16,384, Laguna M.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Nemotron VoiceChat accepts text and audio; PaddleOCR VL accepts text and images; Laguna M.1 accepts text. 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; PaddleOCR VL came out Oct 16, 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.
