Context Window

Compare

Nemotron 3 Ultra vs Qwen3 Coder 480b A35b Instruct Fp8

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

Nemotron 3 Ultra

Tool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Alibaba

Model

Qwen3 Coder 480b A35b Instruct Fp8

Tool calling

Context window

256K

256,000 tokens · ~192K 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.

Nemotron 3 Ultra1M
Qwen3 Coder 480b A35b Instruct Fp8256K

Nemotron 3 Ultra has about 3.9× the context window of the other in this pair.

Token calculator →Memory savings →

Nemotron 3 Ultra has 290% more context capacity (1000K vs 256K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nemotron 3 Ultra. Its 1000K context fits entire documents without chunking (vs 256K).

Full specs

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

SpecNemotron 3 UltraQwen3 Coder 480b A35b Instruct Fp8
Context window1,000,000 tokens (1000K)256,000 tokens (256K)
Max output tokens16,384 tokens (16K)N/A
Speed tierBalancedBalanced
VisionNoNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateJun 2026N/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.

ProviderNemotron 3 Ultra inNemotron 3 Ultra outQwen3 Coder 480b A35b Instruct Fp8 inQwen3 Coder 480b A35b Instruct Fp8 out
Together Ai——$2.00/M$2.00/M

Frequently asked questions

Nemotron 3 Ultra has a larger context window: 1000K tokens vs 256K. 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