ModelRefs / Qwen2.5-VL 72B vs DeepSeek V3
Qwen2.5-VL 72B vs DeepSeek V3
Qwen2.5-VL 72B vs DeepSeek V3: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
DeepSeek V3: DeepSeek V3 is DeepSeek's December 2024 open-weights Mixture-of-Experts model, activating 37 billion of 671 billion total parameters per token across a 128,000-token context window. It ships under the MIT licence with published weights and a technical report, and DeepSeek reports its own evaluation table for the text chat model under an 8,000-token output limit.
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: DeepSeek V3 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.
DeepSeek V3 vs Qwen2.5-VL 72B at a glance
| Attribute | DeepSeek V3 | Qwen2.5-VL 72B |
|---|---|---|
| Provider | DeepSeek | Alibaba |
| Released | 2024-12-26 | 2025-01-26 |
| Context window | 128,000 tokens | 128,000 tokens |
| Input price | $0.27/M tokens | Free / self-hosted |
| Output price | $1.1/M tokens | Free / self-hosted |
| Licence | MIT | Qwen License |
| Self-hostable | Yes, open weights | Yes, open weights |
| Modalities | text | text, vision |
Where they differ most
- Cost Efficiency: DeepSeek V3 85%, Qwen2.5-VL 72B 100%. Qwen2.5-VL 72B leads on this dimension.
- Reasoning: DeepSeek V3 72%, 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 Qwen2.5-VL 72B vs DeepSeek V3.
Frequently asked questions
Which is better, Qwen2.5-VL 72B or DeepSeek V3?
Qwen2.5-VL 72B and DeepSeek V3 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Qwen2.5-VL 72B cheaper than DeepSeek V3?
Compare $0.00000 vs $0.00027 on this page.