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Devstral 2 2512 vs Llama 3.2 1B 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 Llama 3.2 1B 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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Meta

Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

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Technical Specifications

SpecificationDevstral 2 2512Llama 3.2 1B Instruct
ProviderMistralMeta
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 Date2025-12-092024-09-25

API Pricing Comparison

Input Price per Million Tokens

Devstral 2 2512

$0.40

Llama 3.2 1B Instruct

$0.03

Output Price per Million Tokens

Devstral 2 2512

$2.00

Llama 3.2 1B Instruct

$0.20

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.

Llama 3.2 1B Instruct Quirks & Gotchas

No developer gotchas reported.