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Devstral 2 2512 vs Qwen3.6 27B

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 Qwen3.6 27B.

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

Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities โ€” accepting text, image, and video inputs...

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Technical Specifications

SpecificationDevstral 2 2512Qwen3.6 27B
ProviderMistralAlibaba
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-12-092026-04-27

API Pricing Comparison

Input Price per Million Tokens

Devstral 2 2512

$0.40

Qwen3.6 27B

$0.28

Output Price per Million Tokens

Devstral 2 2512

$2.00

Qwen3.6 27B

$2.40

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.

Qwen3.6 27B Quirks & Gotchas

No developer gotchas reported.