Model comparison
GPT-5.6 Terra vs Llama 4 Maverick
Compare GPT-5.6 Terra vs Llama 4 Maverick API pricing: input/output token costs, cache pricing, context windows, workload estimates, and routing fit.
GPT-5.6 Terra
openai · gpt-5.6-terra
- Input
- $2.5
- Output
- $15
- Context
- 1.1M
Llama 4 Maverick
deepinfra · deepinfra/meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8
- Input
- $0.15
- Output
- $0.6
- Context
- 1M
Quick take
Llama 4 Maverick has the lower input price at $0.15 per 1M input tokens. Llama 4 Maverick is cheaper for the example blended workload below. GPT-5.6 Terra has the larger context window at 1.1M tokens.
Choose GPT-5.6 Terra if...
- GPT-5.6 Terra is safer for long documents, repository analysis, and RAG prompts because it has the larger context window.
- GPT-5.6 Terra is stronger when the same large prompt or document is reused because it supports prompt caching.
- GPT-5.6 Terra is required if images, screenshots, or visual documents are part of the workflow.
Choose Llama 4 Maverick if...
- Llama 4 Maverick is the better default for cost-sensitive traffic and repeated high-volume calls.
- Llama 4 Maverick gives more room for long generated answers, reports, or code output.
Example workload cost
Estimates use input tokens plus 20% output tokens. They exclude provider discounts, cache hits, and tool/search surcharges.
| Workload | GPT-5.6 Terra | Llama 4 Maverick | Cheaper |
|---|---|---|---|
| 1M input + 200K output | $5.50 | $0.27 | Llama 4 Maverick |
| 10M input + 2M output | $55.00 | $2.70 | Llama 4 Maverick |
| 100M input + 20M output | $550.00 | $27.00 | Llama 4 Maverick |
Context, output, and capability fit
GPT-5.6 Terra provides the larger context window. Check max output separately when the task needs long reports, code generation, or full-document rewrites.
- GPT-5.6 Terra max output
- 128K
- Llama 4 Maverick max output
- 1M
- GPT-5.6 Terra features
- prompt caching, function calling, vision
- Llama 4 Maverick features
- function calling
Risk notes for GPT-5.6 Terra
- No major capability risk is flagged in this snapshot, but provider pages should still be verified before production routing.
Risk notes for Llama 4 Maverick
- No prompt caching in this snapshot: repeated long-context calls may be more expensive.
Routing tags
frontierreasoningcodingagentslong-contextmultimodalcache-friendlyragopen-weightlocal-open