Context Window

Compare

Claude Haiku Latest vs Nemotron 3 Super

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.

Anthropic

Model

Claude Haiku Latest

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Nvidia

Model

Nemotron 3 Super

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.

Claude Haiku Latest200K
Nemotron 3 Super262K

Nemotron 3 Super has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

Nemotron 3 Super has 31% more context capacity (262K vs 200K tokens). Nemotron 3 Super is 92% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Nemotron 3 Super. Its 262K context fits entire documents without chunking (vs 200K).

  • RAG / high-volume retrieval

    Use Nemotron 3 Super. Input tokens are 92% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Claude Haiku Latest. Its 64K 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.

SpecClaude Haiku LatestNemotron 3 Super
Context window200,000 tokens (200K)262,144 tokens (262K)
Max output tokens64,000 tokens (64K)16,384 tokens (16K)
Speed tierFastBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateApr 2026Mar 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.

ProviderClaude Haiku Latest inClaude Haiku Latest outNemotron 3 Super inNemotron 3 Super out
Nebius——$0.300/M$0.900/M
Openrouter$1.00/M$5.00/M$0.080/M$0.450/M

Frequently asked questions

Nemotron 3 Super has a larger context window: 262K tokens vs 200K. 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