ModelRefs / GPT-4o vs Qwen2.5-VL 72B
GPT-4o vs Qwen2.5-VL 72B
GPT-4o vs Qwen2.5-VL 72B: 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.
Qwen2.5-VL 72B: Qwen2.5-VL 72B Instruct is the largest vision-language model in Alibaba's Qwen2.5-VL line, accepting images and video alongside text. Qwen highlights comprehension of videos over an hour long, structured extraction from documents such as invoices, forms and tables, visual grounding returned as bounding boxes or points, and agentic computer and phone use. The published config sets a 32,768-token context, and Qwen advises against YaRN extension here because it degrades temporal and spatial localisation.
Context window: GPT-4o accepts up to 128,000 tokens, Qwen2.5-VL 72B up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
GPT-4o vs Qwen2.5-VL 72B at a glance
| Attribute | GPT-4o | Qwen2.5-VL 72B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Released | 2024-05-13 | 2025-01-26 |
| Context window | 128,000 tokens | 128,000 tokens |
| Input price | $2.5/M tokens | Free / self-hosted |
| Output price | $10/M tokens | Free / self-hosted |
| Licence | Proprietary | Qwen License |
| Self-hostable | No, hosted only | Yes, open weights |
| Modalities | text, vision, audio | text, vision |
Where they differ most
- Cost Efficiency: GPT-4o 46%, Qwen2.5-VL 72B 100%. Qwen2.5-VL 72B leads on this dimension.
- Reasoning: GPT-4o 61%, Qwen2.5-VL 72B 75%. Qwen2.5-VL 72B 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 Qwen2.5-VL 72B.
Frequently asked questions
Which is better, GPT-4o or Qwen2.5-VL 72B?
GPT-4o and Qwen2.5-VL 72B target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is GPT-4o cheaper than Qwen2.5-VL 72B?
Compare $0.00250 vs $0.00000 on this page.