MULTIMODAL REASONING • CURATED • UPDATED JAN 31, 2026

InternVL 2.5

The Open-Source Vision Giant: 78B Multimodal Leader
Price
Free
API
Yes
Weights
Yes

InternVL 2.5 is a world-class open-source multimodal large language model (MLLM) that consistently tops the leaderboards for open-weight vision reasoning. It features a powerful 78B parameter architecture with a specialized vision-language alignment that excels at OCR, document understanding, and complex visual Q&A. It is designed to bridge the gap between open models and GPT-4V, offering exceptional performance across a wide range of multimodal benchmarks while remaining fully open for community development.

We included InternVL 2.5 because it is a consistent leaderboard champion. It often outperforms much larger models in visual reasoning and OCR, making it a critical tool for developers who need GPT-4 level vision without the proprietary lock-in.

Pricing Free
Platforms web, api, local
API Yes
Open Source Yes
Modalities Multimodal Reasoning, LLMs
Best For Best for Leaderboard-Topping Vision
Date Added 2026-01-31
  • ✓Leaderboard Champion: Consistently ranks #1 for open multimodal models
  • ✓Exceptional OCR: Handles extremely dense and complex text in images
  • ✓78B Parameters: Balanced size for high performance and manageable inference
  • ✓Open-Source Native: Built by the OpenGVLab for the global community
  • ✓Strong Visual Q&A: Deep understanding of scene context and spatial relations
  • ⚠Distributed as code and model weights; there is no hosted product to sign into, so running it means self-hosting or a third-party host.
  • ⚠78B model still requires significant VRAM for local inference
  • ⚠Inference speed may be slower than smaller models like Llama 3.2 11B
  • ⚠Documentation is primarily technical and research-focused

Try the official demo at internvl.opengvlab.com. For developers, download the model weights from Hugging Face. It is compatible with major inference frameworks like LMDeploy and vLLM.

1 Use InternVL 2.5 for tasks where OCR accuracy is the top priority
2 Leverage the 78B model for the best balance of speed and reasoning depth
3 Provide high-resolution images to take full advantage of the model's vision encoder
4 Use the official demo to test complex queries before deploying locally
5 Monitor the OpenGVLab GitHub for frequent updates and smaller, faster versions

Dense Manual Digitization

Converting complex technical manuals with diagrams and text into structured data.

STEPS:
  1. Upload high-resolution scans of the manual pages
  2. Ask: 'Summarize the safety procedures and list all parts mentioned in the diagrams'
  3. Review the highly accurate OCR and contextual reasoning
Free Completely free
View InternVL 2.5 Alternatives (2026) →

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Q

Is InternVL 2.5 free?

A

Yes, InternVL 2.5 is completely free to use.

Q

Does InternVL 2.5 have an API?

A

Yes, InternVL 2.5 offers an API for programmatic integration.

Q

What is InternVL 2.5 best for?

A

InternVL 2.5 is best for Leaderboard-Topping Vision. InternVL 2. We included InternVL 2.5 because it is a consistent leaderboard champion. It often outperforms much larger models in visual reasoning and OCR, making it a critical tool for developers who need GPT-4 level vision without the proprietary lock-in.

Q

What platforms does InternVL 2.5 support?

A

InternVL 2.5 supports web, api, local.

Q

Is InternVL 2.5 open source?

A

Yes, InternVL 2.5 is open source. You can access the source code on GitHub at https://github.com/OpenGVLab/InternVL.

Q

How do I get started with InternVL 2.5?

A

Try the official demo at internvl.opengvlab.com. For developers, download the model weights from Hugging Face. It is compatible with major inference frameworks like LMDeploy and vLLM.

Q

How do I use InternVL 2.5?

A

InternVL 2.5 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at leaderboard champion: consistently ranks #1 for open multimodal models.

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