Context Window

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Codellama 70b Instruct vs Mistral 7b Instruct V0 3

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

Codellama 70b Instruct

Context window

4K

4,096 tokens · ~3K words

Model page
Mistral

Model

Mistral 7b Instruct V0 3

Tool calling

Context window

127K

127,000 tokens · ~95K 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.

Codellama 70b Instruct4K
Mistral 7b Instruct V0 3127K

Mistral 7b Instruct V0 3 has about 31× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral 7b Instruct V0 3 has 3000% more context capacity (127K vs 4K tokens). Mistral 7b Instruct V0 3 is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral 7b Instruct V0 3. Its 127K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Mistral 7b Instruct V0 3. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mistral 7b Instruct V0 3. Its 127K 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.

SpecCodellama 70b InstructMistral 7b Instruct V0 3
Context window4,096 tokens (4K)127,000 tokens (127K)
Max output tokens4,096 tokens (4K)127,000 tokens (127K)
Speed tierDeepFast
VisionNoNo
Function callingNoYes
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.

ProviderCodellama 70b Instruct inCodellama 70b Instruct outMistral 7b Instruct V0 3 inMistral 7b Instruct V0 3 out
Anyscale$1.00/M$1.00/M——
Ovhcloud——$0.100/M$0.100/M

Frequently asked questions

Mistral 7b Instruct V0 3 has a larger context window: 127K tokens vs 4K. 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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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