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GPT-5.6 Luna vs Llama 4 Maverick

Detailed technical comparison between GPT-5.6 Luna (OpenAI) and Llama 4 Maverick (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-5.6 Luna: 1 WinvsLlama 4 Maverick: 5 Wins
Context Leader

GPT-5.6 Luna

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 4 Maverick

$0.19 / MTok
OpenAIactive

GPT-5.6 Luna

GPT-5.6 Luna is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.6 Luna represents a key architectural iteration in the OpenAI model family. First released in 2026-07-09, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,050,000 tokens (approximately 1,400 words), GPT-5.6 Luna processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-5.6 Luna Full Specs →
Metaactive

Llama 4 Maverick

Llama 4 Maverick is an advanced artificial intelligence model engineered by Meta. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Llama 4 Maverick represents a key architectural iteration in the Meta model family. First released in 2026-05-25, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Llama 4 Maverick processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Llama 4 Maverick Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-5.6 LunaLlama 4 Maverick
ProviderOpenAIMeta
Context Window1,050,000 tokens🏆1,048,576 tokens
Agent SuitabilityNot yet benchmarked89/100 (est.)
Time to First Token (TTFT)No public TTFT data300 ms (est.)
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-092026-05-25

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Luna

$0.20

Llama 4 Maverick

$0.19

Output Price per Million Tokens

GPT-5.6 Luna

$1.20

Llama 4 Maverick

$0.65

💡 Cost Ratio: Llama 4 Maverick is 1.1x cheaper per input token than GPT-5.6 Luna.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
91.0%vs91.5%+0.5% Llama 4 Maverick
GPT-5.6 Luna
Llama 4 Maverick 🏆
HumanEvalPython coding & logic synthesis
94.8%vs93.8%+1.0% GPT-5.6 Luna
GPT-5.6 Luna 🏆
Llama 4 Maverick
MATHComplex mathematical problem solving
79.4%vs89.2%+9.8% Llama 4 Maverick
GPT-5.6 Luna
Llama 4 Maverick 🏆
GPQAGraduate-level expert reasoning
57.8%vs76.4%+18.6% Llama 4 Maverick
GPT-5.6 Luna
Llama 4 Maverick 🏆
HellaSwagCommonsense reasoning and inference
90.0%vs97.2%+7.2% Llama 4 Maverick
GPT-5.6 Luna
Llama 4 Maverick 🏆
MT-BenchMulti-turn conversation flow quality
9.3%vs9.4%+0.1% Llama 4 Maverick
GPT-5.6 Luna
Llama 4 Maverick 🏆

GPT-5.6 Luna Quirks & Gotchas

No developer gotchas reported.

Llama 4 Maverick Quirks & Gotchas

  • ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
  • ▸Requires specific system prompt for optimal function calling reliability

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