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Llama 4 Maverick vs Mistral Small 3.1 24B

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 Llama 4 Maverick and Mistral Small 3.1 24B.

Meta

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

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Mistral

Mistral Small 3.1 24B

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...

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Technical Specifications

SpecificationLlama 4 MaverickMistral Small 3.1 24B
ProviderMetaMistral
Context Window1,048,576 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-04-052025-03-17

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.15

Mistral Small 3.1 24B

$0.35

Output Price per Million Tokens

Llama 4 Maverick

$0.60

Mistral Small 3.1 24B

$0.56

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.

Llama 4 Maverick Quirks & Gotchas

No developer gotchas reported.

Mistral Small 3.1 24B Quirks & Gotchas

No developer gotchas reported.