Context Window

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Granite 3 3 8b vs Qwen3 Next 80B A3B Thinking

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.

Ibm

Model

Granite 3 3 8b

Tool calling

Context window

8K

8,192 tokens · ~6K words

Model page
Alibaba

Model

Qwen3 Next 80B A3B Thinking

Tool calling

Context window

262K

262,144 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.

Granite 3 3 8b8K
Qwen3 Next 80B A3B Thinking262K

Qwen3 Next 80B A3B Thinking has about 32× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Next 80B A3B Thinking has 3100% more context capacity (262K vs 8K tokens). Granite 3 3 8b is 77% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Next 80B A3B Thinking. Its 262K context fits entire documents without chunking (vs 8K).

  • RAG / high-volume retrieval

    Use Granite 3 3 8b. Input tokens are 77% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGranite 3 3 8bQwen3 Next 80B A3B Thinking
Context window8,192 tokens (8K)262,144 tokens (262K)
Max output tokensN/A65,536 tokens (65K)
Speed tierFastFast
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoNo
Batch APINoNo
Release dateN/ASep 2025

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.

ProviderGranite 3 3 8b inGranite 3 3 8b outQwen3 Next 80B A3B Thinking inQwen3 Next 80B A3B Thinking out
Alibaba Cloud——$0.150/M$1.20/M
Deepinfra——$0.140/M$1.40/M
Fireworks——$0.900/M$0.900/M
Ibm Watsonx$0.200/M$0.200/M——
Novita——$0.150/M$1.50/M
Replicate$0.030/M$0.250/M——
Together Ai——$0.150/M$1.50/M

Frequently asked questions

Qwen3 Next 80B A3B Thinking has a larger context window: 262K 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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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