Context Window

Compare

Codellama 34b Instruct vs Qwen Qwen3 Coder 480b A35b

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 34b Instruct

Context window

4K

4,096 tokens · ~3K words

Model page
Alibaba

Model

Qwen Qwen3 Coder 480b A35b

Tool calling

Context window

262K

262,000 tokens · ~197K 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 34b Instruct4K
Qwen Qwen3 Coder 480b A35b262K

Qwen Qwen3 Coder 480b A35b has about 64× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen Qwen3 Coder 480b A35b has 6296% more context capacity (262K vs 4K tokens). Qwen Qwen3 Coder 480b A35b is 78% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen Qwen3 Coder 480b A35b. Its 262K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Qwen Qwen3 Coder 480b A35b. Input tokens are 78% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Qwen Qwen3 Coder 480b A35b. 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.

SpecCodellama 34b InstructQwen Qwen3 Coder 480b A35b
Context window4,096 tokens (4K)262,000 tokens (262K)
Max output tokens4,096 tokens (4K)65,536 tokens (65K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
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 34b Instruct inCodellama 34b Instruct outQwen Qwen3 Coder 480b A35b inQwen Qwen3 Coder 480b A35b out
Anyscale$1.00/M$1.00/M——
Aws Bedrock——$0.220/M$1.80/M

Frequently asked questions

Qwen Qwen3 Coder 480b A35b has a larger context window: 262K 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.

Powered by Mem0

Use a smaller model.
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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