Context Window

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Codellama 34b Instruct vs Dolphin 2 9 2 Qwen2 72b

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
Microsoft

Model

Dolphin 2 9 2 Qwen2 72b

Context window

131K

131,072 tokens · ~98K 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
Dolphin 2 9 2 Qwen2 72b131K

Dolphin 2 9 2 Qwen2 72b has about 32× the context window of the other in this pair.

Token calculator →Memory savings →

Dolphin 2 9 2 Qwen2 72b has 3100% more context capacity (131K vs 4K tokens). Dolphin 2 9 2 Qwen2 72b is 9% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Dolphin 2 9 2 Qwen2 72b. Its 131K context fits entire documents without chunking (vs 4K).

  • RAG / high-volume retrieval

    Use Dolphin 2 9 2 Qwen2 72b. Input tokens are 9% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Dolphin 2 9 2 Qwen2 72b. Its 131K 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 InstructDolphin 2 9 2 Qwen2 72b
Context window4,096 tokens (4K)131,072 tokens (131K)
Max output tokens4,096 tokens (4K)131,072 tokens (131K)
Speed tierBalancedDeep
VisionNoNo
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.

ProviderCodellama 34b Instruct inCodellama 34b Instruct outDolphin 2 9 2 Qwen2 72b inDolphin 2 9 2 Qwen2 72b out
Anyscale$1.00/M$1.00/M——
Fireworks——$0.900/M$0.900/M

Frequently asked questions

Dolphin 2 9 2 Qwen2 72b has a larger context window: 131K 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