Context Window

Compare

Grok Latest vs Meta Llama 3 70b Instruct

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.

Xai

Model

Grok Latest

Image inputTool calling

Context window

500K

500,000 tokens · ~375K words

Model page
Meta

Model

Meta Llama 3 70b Instruct

Context window

8K

8,192 tokens · ~6K 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.

Grok Latest500K
Meta Llama 3 70b Instruct8K

Grok Latest has about 61× the context window of the other in this pair.

Token calculator →Memory savings →

Grok Latest has 6003% more context capacity (500K vs 8K tokens). Meta Llama 3 70b Instruct is 45% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok Latest. Its 500K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Meta Llama 3 70b Instruct. Input tokens are 45% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecGrok LatestMeta Llama 3 70b Instruct
Context window500,000 tokens (500K)8,192 tokens (8K)
Max output tokens450,000 tokens (450K)N/A
Speed tierBalancedDeep
VisionYesNo
Function callingYesNo
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.

ProviderGrok Latest inGrok Latest outMeta Llama 3 70b Instruct inMeta Llama 3 70b Instruct out
Openrouter$1.60/M$4.80/M——
Together Ai——$0.880/M$0.880/M

Frequently asked questions

Grok Latest has a larger context window: 500K tokens vs 8K. 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