Context Window

Compare

Nvidia Nemotron 3 5 Lightning 30b A3b vs Qwen3 Max 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.

Nvidia

Model

Nvidia Nemotron 3 5 Lightning 30b A3b

Context window

66K

65,536 tokens · ~49K words

Model page
Alibaba

Model

Qwen3 Max 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.

Nvidia Nemotron 3 5 Lightning 30b A3b66K
Qwen3 Max Thinking262K

Qwen3 Max Thinking has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

Qwen3 Max Thinking has 300% more context capacity (262K vs 65K tokens). Nvidia Nemotron 3 5 Lightning 30b A3b is 80% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Qwen3 Max Thinking. Its 262K context fits entire documents without chunking (vs 65K).

  • RAG / high-volume retrieval

    Use Nvidia Nemotron 3 5 Lightning 30b A3b. Input tokens are 80% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecNvidia Nemotron 3 5 Lightning 30b A3bQwen3 Max Thinking
Context window65,536 tokens (65K)262,144 tokens (262K)
Max output tokensN/A32,768 tokens (32K)
Speed tierFastDeep
VisionNoNo
Function callingNoYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APINoNo
Release dateN/AFeb 2026

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.

ProviderNvidia Nemotron 3 5 Lightning 30b A3b inNvidia Nemotron 3 5 Lightning 30b A3b outQwen3 Max Thinking inQwen3 Max Thinking out
Deepinfra——$1.20/M$6.00/M
Gmi$0.150/M$1.00/M——
Openrouter——$0.780/M$3.90/M

Frequently asked questions

Qwen3 Max Thinking has a larger context window: 262K tokens vs 65K. 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.
Get better results.

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.

Calculate your savingsLearn about Mem0

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