Context Window

Compare

Gpt 5 1 Chat Latest 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 1 Chat Latest

Image input

Context window

128K

128,000 tokens · ~96K 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 1 Chat Latest128K
Llama 4 Maverick 17b 128e Instruct Fp81M

Llama 4 Maverick 17b 128e Instruct Fp8 has about 7.8× the context window of the other in this pair.

Token calculator →Memory savings →

Llama 4 Maverick 17b 128e Instruct Fp8 has 681% more context capacity (1000K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llama 4 Maverick 17b 128e Instruct Fp8. Its 1000K context fits entire documents without chunking (vs 128K).

Full specs

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

SpecGpt 5 1 Chat LatestLlama 4 Maverick 17b 128e Instruct Fp8
Context window128,000 tokens (128K)1,000,000 tokens (1000K)
Max output tokens16,384 tokens (16K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesYes
Function callingNoYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/AN/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 1 Chat Latest inGpt 5 1 Chat Latest 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
Openai$1.25/M$10.00/M——
Together Ai——$0.270/M$0.850/M

Frequently asked questions

Llama 4 Maverick 17b 128e Instruct Fp8 has a larger context window: 1000K tokens vs 128K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

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.

Calculate your savingsLearn about Mem0

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