Context Window

Compare

Chat Bison 001 vs Llama 3.1 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.

Google

Model

Chat Bison 001

Context window

8K

8,192 tokens · ~6K words

Model page
Meta

Model

Llama 3.1 70B Instruct

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.

Chat Bison 0018K
Llama 3.1 70B Instruct131K

Llama 3.1 70B Instruct has about 16× the context window of the other in this pair.

Token calculator →Memory savings →

Llama 3.1 70B Instruct has 1500% more context capacity (131K vs 8K tokens). Chat Bison 001 is 87% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Llama 3.1 70B Instruct. Its 131K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Chat Bison 001. Input tokens are 87% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Llama 3.1 70B Instruct. Its 131K 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.

SpecChat Bison 001Llama 3.1 70B Instruct
Context window8,192 tokens (8K)131,072 tokens (131K)
Max output tokens4,096 tokens (4K)131,072 tokens (131K)
Speed tierBalancedDeep
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AJul 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.

ProviderChat Bison 001 inChat Bison 001 outLlama 3.1 70B Instruct inLlama 3.1 70B Instruct out
Google$0.125/M$0.125/M——
Perplexity——$1.00/M$1.00/M

Frequently asked questions

Llama 3.1 70B Instruct has a larger context window: 131K 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