Context Window

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GPT-5.6 Luna Pro vs Llama 4 Maverick 17b 128e Instruct Fp8

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Openai

Model

GPT-5.6 Luna Pro

Image inputTool calling

Context window

1.1M

1,050,000 tokens · ~788K words

Model page
Meta

Model

Llama 4 Maverick 17b 128e Instruct Fp8

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

GPT-5.6 Luna Pro1.1M
Llama 4 Maverick 17b 128e Instruct Fp81M

GPT-5.6 Luna Pro has about 1.1× the context window of the other in this pair.

Token calculator →Memory savings →

GPT-5.6 Luna Pro has 5% more context capacity (1050K vs 1000K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GPT-5.6 Luna Pro. Its 1050K context fits entire documents without chunking (vs 1000K).

  • Long output (reports, code files)

    Use GPT-5.6 Luna Pro. Its 128K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGPT-5.6 Luna ProLlama 4 Maverick 17b 128e Instruct Fp8
Context window1,050,000 tokens (1050K)1,000,000 tokens (1000K)
Max output tokens128,000 tokens (128K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateJul 2026N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderGPT-5.6 Luna Pro inGPT-5.6 Luna Pro outLlama 4 Maverick 17b 128e Instruct Fp8 inLlama 4 Maverick 17b 128e Instruct Fp8 out
Azure——$1.41/M$0.350/M
Deepinfra——$0.150/M$0.600/M
Lambda——$0.050/M$0.100/M
Meta————
Novita——$0.270/M$0.850/M
Together Ai——$0.270/M$0.850/M

Frequently asked questions

GPT-5.6 Luna Pro has a larger context window: 1050K tokens vs 1000K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model