Compare

Gpt 4 1 Mini 2025 04 14 vs Meta Llama3 1 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.

Openai

Model

Gpt 4 1 Mini 2025 04 14

Image inputTool calling

Context window

1.0M

1,047,576 tokens · ~786K words

Model page
Meta

Model

Meta Llama3 1 70b Instruct

Tool calling

Context window

128K

128,000 tokens · ~96K 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 4 1 Mini 2025 04 141.0M
Meta Llama3 1 70b Instruct128K

Gpt 4 1 Mini 2025 04 14 has about 8.2× the context window of the other in this pair.

Gpt 4 1 Mini 2025 04 14 has 718% more context capacity (1047K vs 128K tokens). Gpt 4 1 Mini 2025 04 14 is 59% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt 4 1 Mini 2025 04 14. Its 1047K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Gpt 4 1 Mini 2025 04 14. Input tokens are 59% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 4 1 Mini 2025 04 14. 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.

SpecGpt 4 1 Mini 2025 04 14Meta Llama3 1 70b Instruct
Context window1,047,576 tokens (1047K)128,000 tokens (128K)
Max output tokens32,768 tokens (32K)2,048 tokens (2K)
Speed tierFastDeep
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
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 4 1 Mini 2025 04 14 inGpt 4 1 Mini 2025 04 14 outMeta Llama3 1 70b Instruct inMeta Llama3 1 70b Instruct out
Aws Bedrock$0.990/M$0.990/M
Azure$0.400/M$1.60/M
Openai$0.400/M$1.60/M

Frequently asked questions

Gpt 4 1 Mini 2025 04 14 has a larger context window: 1047K 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.

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