Llama 3.3 Nemotron Super 49B v1

by NVIDIAChat

Nemotron model for efficient reasoning, coding, and specialized AI agents

Context
131K tokens
Max output
131,072 tokens
Parameters
49.9B total
Released
2025-04-07
Weights
Open
Licence
nvidia-open-model-license

Weights on Hugging Face

nvidia/llama-3-3-nemotron-super-49b-v1

Specifications

Full facts as recorded, incl. what is unknown.

Released
2025-04-07
Weights
Opennot gated
License
nvidia-open-model-license
Input
Text
Output
Text
Context window
131,072 max across endpoints
Max output
131,072
Providers
2 + 1 gateway, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.10 in · $0.40 out per 1M tokens · 1 of 2 providers have a comparable price
More details
Last updated
2025-08-08
Knowledge cutoff
Weights link
Hugging Face · nvidia/Llama-3_3-Nemotron-Super-49B-v1
Parameters
49.9B total

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel toolsunknown
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messagesunknown
  • Assistant prefillunknown
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

No change since 19 Oct 2026. The cheapest direct price has been $0.10 in / $0.40 out per 1M tokens at Nebius Token Factory on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

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GLiNER 2.5 MultiFastino Labs$0.15$0.15$0.154.1K+0%
GLiNER2 BaseFastino Labs$0.15$0.15$0.158.2K+0%
GLiNER2 LargeFastino Labs$0.15$0.15$0.158.2K+0%

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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model