PaddleOCR VL vs Nemotron VoiceChat
Too close to call on our weighted score (Nemotron VoiceChat 65, PaddleOCR VL 62). The right pick depends on what you value most.
PaddlePaddle
PaddleOCR VL
62/100- ECI—
- Price$0.02 / $0.02
- Context131K
NVIDIA
Nemotron VoiceChat
65/100- ECI—
- PriceFree / Free
- Context128K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 3 points (Nemotron VoiceChat 65/100, PaddleOCR VL 62/100), so choose by what matters most for your work: Nemotron VoiceChat on price and PaddleOCR VL 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 VoiceChatNemotron VoiceChat Free · PaddleOCR VL $0.02 per 1M tokens (3:1 blend)
- Longest contextPaddleOCR VLPaddleOCR VL 131,072 · Nemotron VoiceChat 128,000 tokens
- Widest inputsSame inputsPaddleOCR VL: Text, Images · Nemotron VoiceChat: Text, Audio
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | PaddleOCR VL | Nemotron VoiceChat |
|---|---|---|---|
| Price | 50% | 100 | 100 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 25 | 24 |
| Overall | 100% | 62/100 | 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 | PaddleOCR VLPaddlePaddle | |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.02 | Free (best) |
| Output | $0.02 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $0.02 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Nvidia API |
| Limits | ||
| Context window | 131,072 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | Open |
| API model ID | — | nvidia/nemotron-voicechat |
| API providers | 1 | 1 |
| Released | Oct 16, 2025 | 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.
- PaddleOCR VL$0.24
Nemotron VoiceChatFree
Which should you choose?
Which is better: PaddleOCR VL or Nemotron VoiceChat?
It is close. Our weighted score puts them within 3 points (Nemotron VoiceChat 65/100, PaddleOCR VL 62/100), so choose by what matters most for your work: Nemotron VoiceChat on price and PaddleOCR VL 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, PaddleOCR VL or Nemotron VoiceChat?
Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia 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 both models yet. PaddleOCR VL 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 PaddleOCR VL and Nemotron VoiceChat 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?
PaddleOCR VL has the largest context window at 131,072 tokens, against 128,000 for Nemotron VoiceChat. Maximum output per response: PaddleOCR VL up to 16,384, Nemotron VoiceChat up to 8,192 tokens.
Which can read images, PDFs, audio or video?
PaddleOCR VL accepts text and images; Nemotron VoiceChat accepts text and audio. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Nemotron VoiceChat is the newest, released 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.