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DeepSeek V3 0324 vs Qwen2.5 VL 72B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3 0324 and Qwen2.5 VL 72B Instruct.

DeepSeek

DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

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Alibaba

Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

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Technical Specifications

SpecificationDeepSeek V3 0324Qwen2.5 VL 72B Instruct
ProviderDeepSeekAlibaba
Context Window163,840 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-03-242025-02-01

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3 0324

$0.24

Qwen2.5 VL 72B Instruct

$0.80

Output Price per Million Tokens

DeepSeek V3 0324

$0.90

Qwen2.5 VL 72B Instruct

$1.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

DeepSeek V3 0324 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 VL 72B Instruct Quirks & Gotchas

No developer gotchas reported.