OpenGVLab: InternVL3 78B
Analysis Summary
InternVL3 78B is a large vision-language model from OpenGVLab, designed for text and image understanding tasks. It supports multimodal input at a competitive price point ($0.15 input / $0.60 output per 1M tokens), which could make it attractive for image-heavy content workflows. However, no benchmark data is available, making it impossible to assess reasoning depth or instruction-following reliability.
The 32K context window is a meaningful constraint for business use cases involving long documents or extended conversations. Without tool use or function calling support, its utility in agentic or automated pipelines is also limited. Vision capability is its clearest differentiator.
Until benchmark data is published, this model is best suited for exploratory or low-stakes image-to-text tasks rather than core business workflows.
Assessed July 10, 2026
Editorial notes
InternVL3 78B from OpenGVLab supports vision and multimodal input at competitive pricing, but has no benchmark data and a limited 32K context window.
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DFO Verdict
InternVL3 78B from OpenGVLab supports vision and multimodal input at competitive pricing, but has no benchmark data and a limited 32K context window.
How OpenGVLab: InternVL3 78B compares
Its 33K-token context window is larger than 27% of the models we list. At $0.15 per million input tokens it is cheaper than 61% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would OpenGVLab: InternVL3 78B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenGVLab: InternVL3 78B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenGVLab: InternVL3 78B
The InternVL3 series is an advanced multimodal large language model (MLLM). Compared to InternVL 2.5, InternVL3 demonstrates stronger multimodal perception and reasoning capabilities. In addition, InternVL3 is benchmarked against the Qwen2.5 Chat models, whose pre-trained base models serve as the initialization for its language component. Benefiting from Native Multimodal Pre-Training, the InternVL3 series surpasses the Qwen2.5 series in overall text performance.
Frequently asked questions about OpenGVLab: InternVL3 78B
How much does OpenGVLab: InternVL3 78B cost?
OpenGVLab: InternVL3 78B costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of OpenGVLab: InternVL3 78B?
OpenGVLab: InternVL3 78B has a context window of 32,768 tokens (33K).
What can OpenGVLab: InternVL3 78B do?
OpenGVLab: InternVL3 78B supports image/vision input.
Who created OpenGVLab: InternVL3 78B?
OpenGVLab: InternVL3 78B is developed by OpenGVLab and was released on September 15, 2025.
