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Mixtral 8x22b Instruct V0 1 vs Xai Grok 4 3

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.

Mistral

Model

Mixtral 8x22b Instruct V0 1

Tool calling

Context window

66K

65,536 tokens · ~49K words

Model page
Xai

Model

Xai Grok 4 3

Image inputTool 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.

Mixtral 8x22b Instruct V0 166K
Xai Grok 4 3131K

Xai Grok 4 3 has about 2× the context window of the other in this pair.

Xai Grok 4 3 has 100% more context capacity (131K vs 65K tokens). Mixtral 8x22b Instruct V0 1 is 52% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Xai Grok 4 3. Its 131K context fits entire documents without chunking (vs 65K).

  • RAG / high-volume retrieval

    Use Mixtral 8x22b Instruct V0 1. Input tokens are 52% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mixtral 8x22b Instruct V0 1. Its 65K 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.

SpecMixtral 8x22b Instruct V0 1Xai Grok 4 3
Context window65,536 tokens (65K)131,072 tokens (131K)
Max output tokens65,536 tokens (65K)16,384 tokens (16K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoYes
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.

ProviderMixtral 8x22b Instruct V0 1 inMixtral 8x22b Instruct V0 1 outXai Grok 4 3 inXai Grok 4 3 out
Anyscale$0.900/M$0.900/M
Aws Bedrock$1.25/M$2.50/M
Nscale$0.600/M$0.600/M

Frequently asked questions

Xai Grok 4 3 has a larger context window: 131K tokens vs 65K. 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