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Grok 2 Vision Latest vs Openai Gpt 5 Nano

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 2 Vision Latest

Image inputTool calling

Context window

33K

32,768 tokens · ~25K words

Model page
Openai

Model

Openai Gpt 5 Nano

Tool calling

Context window

5M

5,000,000 tokens · ~3.8M 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 2 Vision Latest33K
Openai Gpt 5 Nano5M

Openai Gpt 5 Nano has about 152.6× the context window of the other in this pair.

Openai Gpt 5 Nano has 15158% more context capacity (5000K vs 32K tokens). Openai Gpt 5 Nano is 92% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 5 Nano. Its 5000K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Openai Gpt 5 Nano. Input tokens are 92% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 2 Vision Latest. Its 32K 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.

SpecGrok 2 Vision LatestOpenai Gpt 5 Nano
Context window32,768 tokens (32K)5,000,000 tokens (5000K)
Max output tokens32,768 tokens (32K)16,384 tokens (16K)
Speed tierBalancedFast
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoNo
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.

ProviderGrok 2 Vision Latest inGrok 2 Vision Latest outOpenai Gpt 5 Nano inOpenai Gpt 5 Nano out
Snowflake$0.150/M$0.600/M
Xai$2.00/M$10.00/M

Frequently asked questions

Openai Gpt 5 Nano has a larger context window: 5000K tokens vs 32K. 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