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Llama 4 Maverick vs Mistral Small 3

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.

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

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

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Technical Specifications

SpecificationLlama 4 MaverickMistral Small 3
ProviderMetaMistral
Context Window1,048,576 tokens32,768 tokens
Agent Suitability89/10084/100
Time to First Token (TTFT)300 ms120 ms
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-252025-01-30

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.15

Mistral Small 3

$0.07

Output Price per Million Tokens

Llama 4 Maverick

$0.60

Mistral Small 3

$0.20

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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%vs8120.0%
Llama 4 Maverick
Mistral Small 3
HumanEvalPython coding & logic synthesis
9380.0%vs8300.0%
Llama 4 Maverick
Mistral Small 3
MATHComplex mathematical problem solving
8920.0%vs6800.0%
Llama 4 Maverick
Mistral Small 3
GPQAGraduate-level expert reasoning
7640.0%vs4500.0%
Llama 4 Maverick
Mistral Small 3
HellaSwagCommonsense reasoning and inference
9720.0%vs8500.0%
Llama 4 Maverick
Mistral Small 3
MT-BenchMulti-turn conversation flow quality
940.0%vs830.0%
Llama 4 Maverick
Mistral Small 3

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

Mistral Small 3 Quirks & Gotchas

  • โ–ธFastest TTFT at lowest cost โ€” ideal for high-volume classification
  • โ–ธNot designed for complex reasoning โ€” route multi-step tasks to Mistral Large 3