LightOnOCR-3 0.8B vs MiniCPM-V 4.7 1B
MiniCPM-V 4.7 1B comes out ahead, 57 to 30 on our weighted score.
LightOn
LightOnOCR-3 0.8B
30/100- ECI—
- Price—
- Context262K
- Our pick
OpenBMB
MiniCPM-V 4.7 1B
57/100- ECI—
- Price—
- Context262K
Add a model
Make it a three-way comparison.
MiniCPM-V 4.7 1B is our pick
MiniCPM-V 4.7 1B is the better all-round choice, scoring 57/100 against LightOnOCR-3 0.8B (30). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. 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
- Longest contextAbout the sameLightOnOCR-3 0.8B 262,144 · MiniCPM-V 4.7 1B 262,144 tokens
- Widest inputsMiniCPM-V 4.7 1BLightOnOCR-3 0.8B: Text, Images · MiniCPM-V 4.7 1B: Text, Images, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | LightOnOCR-3 0.8B | MiniCPM-V 4.7 1B |
|---|---|---|---|
| Inputs & features | 60% | 25 | 70 |
| Context window | 40% | 37 | 37 |
| Overall | 100% | 30/100 | 57/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | LightOnOCR-3 0.8BLightOn | MiniCPM-V 4.7 1BOpenBMB |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | — |
| Output | — | — |
| Cached input | — | — |
| Blended (3:1) | — | — |
| Long-context rate | — | — |
| Price source | — | — |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 16,384 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Openapache-2.0 | OpenApache-2.0 |
| API model ID | — | — |
| API providers | 1 | 1 |
| Released | Oct 8, 2026 | Oct 6, 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.
- LightOnOCR-3 0.8B—
- MiniCPM-V 4.7 1B—
Which should you choose?
Which is better: LightOnOCR-3 0.8B or MiniCPM-V 4.7 1B?
MiniCPM-V 4.7 1B is the better all-round choice, scoring 57/100 against LightOnOCR-3 0.8B (30). It leads on inputs & features. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, LightOnOCR-3 0.8B or MiniCPM-V 4.7 1B?
None of these models has a published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. LightOnOCR-3 0.8B has not been scored yet and MiniCPM-V 4.7 1B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for LightOnOCR-3 0.8B and MiniCPM-V 4.7 1B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that LightOnOCR-3 0.8B does not support tool calling, which most coding agents need.
Which has the bigger context window?
LightOnOCR-3 0.8B and MiniCPM-V 4.7 1B share the same 262,144-token context window. Maximum output per response: LightOnOCR-3 0.8B up to 16,384, MiniCPM-V 4.7 1B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
LightOnOCR-3 0.8B accepts text and images; MiniCPM-V 4.7 1B accepts text, images and video. MiniCPM-V 4.7 1B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights (apache-2.0 and Apache-2.0), so you can self-host them.
Which is newer?
LightOnOCR-3 0.8B is the newest, released Oct 8, 2026. MiniCPM-V 4.7 1B came out Oct 6, 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 Nov 2, 2026.
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