Head-to-Head Model Pricing & Benchmark Breakdown
Llama 4 Maverick vs GPT-5.6 Luna: 1M Context Open Weights vs Proprietary Mini
Meta’s frontier open model against OpenAI’s lightweight powerhouse.
Adjust Your Custom Token Workload
Monthly Requests150k
Input Tokens / Req1800
Output Tokens / Req400
Prompt Cache %0%
Llama 4 Maverick is 19.0% More Cost-Effective
Saves $24.00 per month ($288.00/yr) at this volume.
Annualized Savings$288.00
Meta
Most EconomicalLlama 4 Maverick
Total Monthly Cost
$102.00 / month
$0.680 per 1,000 requestsInput Tokens / 1M:$0.20
Cached Input / 1M:$0.200
Output Tokens / 1M:$0.80
Context Window:1M
Inference Speed:~220 TPS
OpenAI
GPT-5.6 Luna
Total Monthly Cost
$126.00 / month
$0.840 per 1,000 requestsInput Tokens / 1M:$0.20
Cached Input / 1M:$0.050
Output Tokens / 1M:$1.20
Context Window:1.1M
Inference Speed:~165 TPS
The Verdict: Which Model Wins on Cost & ROI?
Llama 4 Maverick matches GPT-5.6 Luna on input pricing ($0.20/1M) while offering cheaper output tokens ($0.80 vs $1.20), 1M context, and complete open-weights freedom.
Key Architectural & Economic Differences
- Identical input pricing ($0.20 per 1M tokens).
- Llama 4 Maverick output tokens are 33% cheaper ($0.80/1M vs $1.20/1M).
- Llama 4 Maverick runs at ~220 tokens/second on Groq LPUs.
- Llama 4 Maverick is 100% open-weights for sovereign on-premise hosting.
When to Choose Llama 4 Maverick
- • Open-weights on-premise private clouds, zero vendor lock-in, high-speed streaming
When to Choose GPT-5.6 Luna
- • Plug-and-play OpenAI API integrations and zero-management serverless hosting
Detailed Spec & Pricing Comparison Table
| Specification / Metric | Llama 4 Maverick (Meta) | GPT-5.6 Luna (OpenAI) | Advantage |
|---|---|---|---|
| Input Price / 1M Tokens | $0.20 | $0.20 | GPT-5.6 Luna |
| Cached Input Price / 1M | N/A | $0.050 (75%) | GPT-5.6 Luna |
| Output Price / 1M Tokens | $0.80 | $1.20 | Llama 4 Maverick |
| Context Window | 1M | 1.1M | GPT-5.6 Luna |
| Inference Speed (Tokens/Sec) | ~220 TPS | ~165 TPS | Llama 4 Maverick |
| MMLU Benchmark Score | 91.2% | 88.6% | Llama 4 Maverick |
Frequently Asked Questions
Yes, Meta Llama 4 Maverick natively supports 1,048,576 tokens context window.
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