ModelRefs / GPT-4o vs InternVL2.5 78B
GPT-4o vs InternVL2.5 78B
GPT-4o vs InternVL2.5 78B: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
GPT-4o: GPT-4o is OpenAI's May 2024 multimodal flagship, accepting text and image input across a 128,000-token context window with a 16,384-token maximum output and an October 2023 knowledge cutoff. OpenAI describes it as its most capable model outside the o-series reasoning line, and serves it through dated snapshots with gpt-4o-2024-08-06 as the default. The family is now deprecated on two schedules: gpt-4o-2024-08-06 and gpt-4o-2024-11-20 shut down on 14 January 2027 with gpt-6-luna as the replacement, and the original gpt-4o-2024-05-13 snapshot on 23 October 2026 with gpt-5.6-sol.
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.
Context window: GPT-4o accepts up to 128,000 tokens, InternVL2.5 78B up to 32,768. Confirm the limit for your specific deployment channel before relying on it.
GPT-4o vs InternVL2.5 78B at a glance
| Attribute | GPT-4o | InternVL2.5 78B |
|---|---|---|
| Provider | OpenAI | OpenGVLab |
| Released | 2024-05-13 | 2024-12-06 |
| Context window | 128,000 tokens | 32,768 tokens |
| Input price | $2.5/M tokens | Free / self-hosted |
| Output price | $10/M tokens | Free / self-hosted |
| Licence | Proprietary | MIT |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision, audio | text, vision |
Where they differ most
- Cost Efficiency: GPT-4o 46%, InternVL2.5 78B 100%. InternVL2.5 78B leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to GPT-4o vs InternVL2.5 78B.
Frequently asked questions
Which is better, GPT-4o or InternVL2.5 78B?
GPT-4o and InternVL2.5 78B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is GPT-4o cheaper than InternVL2.5 78B?
Compare $0.00250 vs $0.00000 on this page.