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lightonai: LightOnOCR-3 0.8B

lightonai: LightOnOCR-3 0.8B

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LightOnOCR-3 0.8B is a language model from lightonai released on Oct 8, 2026. It reads text and images and writes text, with a 262K token context window and up to 16K tokens per reply.

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It costs $2.46 per million input tokens and $0 per million output tokens.

Its weights are open, so you can host it yourself.

Modalities
In / out price
$2.46 / $0 per 1M
Context
262K
Max output
16K
Released
Oct 8, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

LightOnOCR-3 0.8B pricing

USD, as listed on Oct 22, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$2.46 / 1M tokens
Output$0 / 1M tokens

What LightOnOCR-3 0.8B costs per month

Pick a workload close to yours or type your own volumes.

LightOnOCR-3 0.8B per month
$185
Without caching
$185
Per request
$0.0062

Supported request parameters

What you can set when you call LightOnOCR-3 0.8B through an OpenAI compatible API.

  • Temperaturetemperature

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Models that take the same inputs, closest in price, cheaper ones first.

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More from lightonai

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All lightonai models

LightOnOCR-3 0.8B questions

How much does the LightOnOCR-3 0.8B API cost?

$2.46 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of LightOnOCR-3 0.8B?

262,144 tokens of input, and it can write up to 16,384 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Does LightOnOCR-3 0.8B support tool calling?

Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.

Is LightOnOCR-3 0.8B open source?

Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.

When was LightOnOCR-3 0.8B released?

Oct 8, 2026.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 22, 2026. The summary is written from these facts.