Context Window

Compare

Command A+ vs Llama 3 1 70b Instruct Maas

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.

Cohere

Model

Command A+

Image inputTool calling

Context window

192K

192,000 tokens · ~144K words

Model page
Meta

Model

Llama 3 1 70b Instruct Maas

Image input

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.

Command A+192K
Llama 3 1 70b Instruct Maas128K

Command A+ has about 1.5× the context window of the other in this pair.

Token calculator →Memory savings →

Command A+ has 50% more context capacity (192K vs 128K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Command A+. Its 192K context fits entire documents without chunking (vs 128K).

  • Long output (reports, code files)

    Use Command A+. Its 64K 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.

SpecCommand A+Llama 3 1 70b Instruct Maas
Context window192,000 tokens (192K)128,000 tokens (128K)
Max output tokens64,000 tokens (64K)2,048 tokens (2K)
Speed tierBalancedDeep
VisionYesYes
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateSep 2026N/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.

ProviderCommand A+ inCommand A+ outLlama 3 1 70b Instruct Maas inLlama 3 1 70b Instruct Maas out
Google Vertex————
Openrouter$0.300/M$1.50/M——

Frequently asked questions

Command A+ has a larger context window: 192K 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.

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