Context Window

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Autoglm Phone 9b Multilingual vs Codellama 34b 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.

Z Ai

Model

Autoglm Phone 9b Multilingual

Image input

Context window

66K

65,536 tokens · ~49K words

Model page
Meta

Model

Codellama 34b Instruct

Context window

4K

4,096 tokens · ~3K 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.

Autoglm Phone 9b Multilingual66K
Codellama 34b Instruct4K

Autoglm Phone 9b Multilingual has about 16× the context window of the other in this pair.

Token calculator →Memory savings →

Autoglm Phone 9b Multilingual has 1500% more context capacity (65K vs 4K tokens). Autoglm Phone 9b Multilingual is 96% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Autoglm Phone 9b Multilingual. Its 65K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Autoglm Phone 9b Multilingual. Input tokens are 96% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Autoglm Phone 9b Multilingual. Its 65K 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.

SpecAutoglm Phone 9b MultilingualCodellama 34b Instruct
Context window65,536 tokens (65K)4,096 tokens (4K)
Max output tokens65,536 tokens (65K)4,096 tokens (4K)
Speed tierBalancedBalanced
VisionYesNo
Function callingNoNo
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.

ProviderAutoglm Phone 9b Multilingual inAutoglm Phone 9b Multilingual outCodellama 34b Instruct inCodellama 34b Instruct out
Anyscale——$1.00/M$1.00/M
Novita$0.035/M$0.138/M——

Frequently asked questions

Autoglm Phone 9b Multilingual has a larger context window: 65K 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