Context Window

Compare

Llama 3 70B Instruct vs Mistral Ministral 3 8b

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.

Meta

Model

Llama 3 70B Instruct

Context window

8K

8,192 tokens · ~6K words

Model page
Mistral

Model

Mistral Ministral 3 8b

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.

Llama 3 70B Instruct8K
Mistral Ministral 3 8b128K

Mistral Ministral 3 8b has about 15.6× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Ministral 3 8b has 1462% more context capacity (128K vs 8K tokens). Mistral Ministral 3 8b is 70% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Ministral 3 8b. Its 128K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Mistral Ministral 3 8b. Input tokens are 70% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral Ministral 3 8b. Its 8K 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.

SpecLlama 3 70B InstructMistral Ministral 3 8b
Context window8,192 tokens (8K)128,000 tokens (128K)
Max output tokens8,000 tokens (8K)8,192 tokens (8K)
Speed tierDeepFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateApr 2024N/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.

ProviderLlama 3 70B Instruct inLlama 3 70B Instruct outMistral Ministral 3 8b inMistral Ministral 3 8b out
Aws Bedrock——$0.150/M$0.150/M
Novita$0.510/M$0.740/M——
Openrouter$0.590/M$0.790/M——
Replicate$0.650/M$2.75/M——

Frequently asked questions

Mistral Ministral 3 8b has a larger context window: 128K 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.

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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.

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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