Decision support
LightOnOCR-3 0.8B vs Flint
Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.
Benchmark results
No benchmark results have been matched to these models yet.
Model specifications
Release date
October 8, 2026
October 19, 2026
Context window
262K
262K
Native context
—
256K
Max output tokens
16,384
235,929
Knowledge cutoff
—
2026-06
Open weights
Open weights
Open weights
Parameter count
0.8B
40B
API pricing · USD per 1M tokens
Input
—
$0.00
Output
—
$0.00
Cached input
—
—
Cache write
—
—
Capabilities and modalities
Input modalities
text, image
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
—
Supported
Supported options
temperature
include_reasoning, logprobs, max_tokens, reasoning, response_format, seed, stop, temperature, tools, top_logprobs, top_p
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
—
Other
Instruction format
—
—
License
apache-2.0
Apache-2.0
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
5
Metadata source
ai-research
ai-research
A dash means the field is not reported. Provider-specific performance and pricing may differ.