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Devstral 2 2512 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 Devstral 2 2512 and Qwen2.5 VL 72B Instruct.

Mistral

Devstral 2 2512

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. Devstral 2 supports exploring...

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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

SpecificationDevstral 2 2512Qwen2.5 VL 72B Instruct
ProviderMistralAlibaba
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-092025-02-01

API Pricing Comparison

Input Price per Million Tokens

Devstral 2 2512

$0.40

Qwen2.5 VL 72B Instruct

$0.80

Output Price per Million Tokens

Devstral 2 2512

$2.00

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.

Devstral 2 2512 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 VL 72B Instruct Quirks & Gotchas

No developer gotchas reported.