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Llama 4 Maverick vs Ministral 3 8B 2512

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 Ministral 3 8B 2512.

Meta

Llama 4 Maverick

Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.

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Mistral

Ministral 3 8B 2512

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

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Technical Specifications

SpecificationLlama 4 MaverickMinistral 3 8B 2512
ProviderMetaMistral
Context Window1,048,576 tokens262,144 tokens
Agent Suitability89/100N/A
Time to First Token (TTFT)300 msN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-252025-12-02

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.15

Ministral 3 8B 2512

$0.15

Output Price per Million Tokens

Llama 4 Maverick

$0.60

Ministral 3 8B 2512

$0.15

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.

MMLUGeneral knowledge & multi-task understanding
9150.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512
HumanEvalPython coding & logic synthesis
9380.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512
MATHComplex mathematical problem solving
8920.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512
GPQAGraduate-level expert reasoning
7640.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512
HellaSwagCommonsense reasoning and inference
9720.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Llama 4 Maverick
Ministral 3 8B 2512

Llama 4 Maverick Quirks & Gotchas

  • โ–ธSelf-hostable via Ollama/Docker โ€” ideal for on-premise deployments
  • โ–ธRequires specific system prompt for optimal function calling reliability

Ministral 3 8B 2512 Quirks & Gotchas

No developer gotchas reported.