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GPT-4o vs Llama 4 Maverick

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 GPT-4o and Llama 4 Maverick.

OpenAI

GPT-4o

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

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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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Technical Specifications

SpecificationGPT-4oLlama 4 Maverick
ProviderOpenAIMeta
Context Window128,000 tokens1,048,576 tokens
Agent Suitability90/10089/100
Time to First Token (TTFT)280 ms300 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-05-132026-05-25

API Pricing Comparison

Input Price per Million Tokens

GPT-4o

$2.50

Llama 4 Maverick

$0.15

Output Price per Million Tokens

GPT-4o

$10.00

Llama 4 Maverick

$0.60

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
8870.0%vs9150.0%
GPT-4o
Llama 4 Maverick
HumanEvalPython coding & logic synthesis
9020.0%vs9380.0%
GPT-4o
Llama 4 Maverick
MATHComplex mathematical problem solving
7660.0%vs8920.0%
GPT-4o
Llama 4 Maverick
GPQAGraduate-level expert reasoning
5360.0%vs7640.0%
GPT-4o
Llama 4 Maverick
HellaSwagCommonsense reasoning and inference
8870.0%vs9720.0%
GPT-4o
Llama 4 Maverick
MT-BenchMulti-turn conversation flow quality
930.0%vs940.0%
GPT-4o
Llama 4 Maverick

GPT-4o Quirks & Gotchas

  • โ–ธStrong multimodal performance โ€” best vision+tool calling combo
  • โ–ธLegacy model โ€” migrate to GPT-5 for latest improvements

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