ModelRefs / o3 Pro vs InternVL2.5 78B

o3 Pro vs InternVL2.5 78B

o3 Pro vs InternVL2.5 78B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.

Overview

InternVL2.5 78B: InternVL2.5 78B is OpenGVLab's multimodal model in the ViT-MLP-LLM configuration, pairing the InternViT-6B-448px-V2.5 vision encoder with Qwen2.5-72B-Instruct as its language model for roughly 78 billion parameters in total. It keeps InternVL 2.0's architecture and advances instead through training and test-time strategy and a larger, filtered data mixture. The project is released under the MIT licence, while the Qwen2.5-72B-Instruct component it embeds carries the Qwen licence.

o3 Pro: o3 Pro is OpenAI's highest-capability reasoning model, applying extended compute at inference time to solve complex scientific, mathematical, and programming problems. It achieved the highest published scores on ARC-AGI-2 and competitive programming benchmarks at its June 2025 release.

Context window: InternVL2.5 78B accepts up to 32,768 tokens, o3 Pro up to 200,000. Confirm the limit for your specific deployment channel before relying on it.

InternVL2.5 78B vs o3 Pro at a glance

AttributeInternVL2.5 78Bo3 Pro
ProviderOpenGVLabOpenAI
Released2024-12-062025-06-10
Context window32,768 tokens200,000 tokens
Input priceFree / self-hosted$20/M tokens
Output priceFree / self-hosted$80/M tokens
LicenceMITProprietary
Self-hostableYes, open weightsNo, hosted only
Modalitiestext, visiontext, vision

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Frequently asked questions

Which is better, o3 Pro or InternVL2.5 78B?

o3 Pro and InternVL2.5 78B target different workloads — see the benchmark and pricing tables for a side-by-side answer.

Is o3 Pro cheaper than InternVL2.5 78B?

Compare $0.0200 vs $0.00000 on this page.