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Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction.
OpenOCR routes requests to the best provider able to handle your file type and parameters, with fallbacks to maximize uptime.
Benchmark score
Latency
4.9s
Languages
100+
Max Pages
1
Supported Formats
Capabilities
Strengths
Aggregator. OpenOCR routes only to paid tiers in prod; free training tiers are excluded. Per-tier privacy varies upstream.
| Engine | Provider | Benchmark | Price |
|---|---|---|---|
| Datalab Convert (accurate) | Datalab | 77.2%✓ | 100 pages / $1$0.01/page |
| Meta: Llama 4 Maverickcurrent | OpenRouter | 71%✓ | ~1,560 pages / $1~$0.00064 per standard page |
| Anthropic: Claude Opus 4.5 | OpenRouter | 67.5%✓ | ~46.1 pages / $1~$0.0217 per standard page |
| Meta: Muse Spark 1.2 | OpenRouter | 65.5%✓ | ~103 pages / $1~$0.00975 per standard page |
| Mistral: Mistral Medium 3 | OpenRouter | 64.9%✓ | ~684 pages / $1~$0.00146 per standard page |
| OpenAI: GPT-5.6 Luna | OpenRouter | 64.8%✓ | ~816 pages / $1~$0.00123 per standard page |
| Mistral: Mistral Medium 3.1 | OpenRouter | 64.6%✓ | ~684 pages / $1~$0.00146 per standard page |
| Gemini 3 Flash Preview | Google Cloud | 63.6%✓ | ~184 pages / $1~$0.00543 per standard page |
| StepFun: Step 3.7 Flash | OpenRouter | 63.6%✓ | ~1,150 pages / $1~$0.000867 per standard page |
| Anthropic: Claude Opus 4.6 | OpenRouter | 63.4%✓ | ~46.1 pages / $1~$0.0217 per standard page |
Top 10 by benchmark score. Compare all 174 engines
This engine supports all languages via its underlying AI model. Pass any ISO 639-1 language code to optimize results.
100+ languages supported