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Gov Xai Grok 4 7 vs Llama 3.1 Euryale 70B v2.2

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

Gov Xai Grok 4 7

Image inputTool calling

Context window

524K

524,288 tokens · ~393K words

Model page
Sao10K

Model

Llama 3.1 Euryale 70B v2.2

Tool calling

Context window

131K

131,072 tokens · ~98K 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.

Gov Xai Grok 4 7524K
Llama 3.1 Euryale 70B v2.2131K

Gov Xai Grok 4 7 has about 4× the context window of the other in this pair.

Gov Xai Grok 4 7 has 300% more context capacity (524K vs 131K tokens). Llama 3.1 Euryale 70B v2.2 is 67% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gov Xai Grok 4 7. Its 524K context fits entire documents without chunking (vs 131K).

  • RAG / high-volume retrieval

    Use Llama 3.1 Euryale 70B v2.2. Input tokens are 67% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gov Xai Grok 4 7. Its 524K 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.

SpecGov Xai Grok 4 7Llama 3.1 Euryale 70B v2.2
Context window524,288 tokens (524K)131,072 tokens (131K)
Max output tokens524,288 tokens (524K)16,384 tokens (16K)
Speed tierBalancedDeep
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/AAug 2024

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.

ProviderGov Xai Grok 4 7 inGov Xai Grok 4 7 outLlama 3.1 Euryale 70B v2.2 inLlama 3.1 Euryale 70B v2.2 out
Aws Bedrock$2.64/M$7.92/M——
Openrouter——$0.850/M$0.850/M

Frequently asked questions

Gov Xai Grok 4 7 has a larger context window: 524K tokens vs 131K. 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.

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