Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Llama 3.3 Nemotron Super 49B V1.5

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Llama 3.3 Nemotron Super 49B V1.5 is a general-purpose chat-tuned model. Available via Nvidia. 131K-token context. Efficient pricing.

Llama 3.3 Nemotron Super 49B V1.5 is a efficient AI model from Nvidia. It costs $0.400 per million input tokens and $0.400 per million output tokens (blended $0.400/M), with a 131K-token context window.

Modalities textAPI docs ↗Pricing source ↗Compare with another model →Estimate monthly cost →
INPUT
$0.400/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
BLENDED 70/30
$0.400/M
default reference rate · how it's calculated →
CONTEXT
131K
131,072 tokens
What it's good at
  • Solid general chat performance
  • Reasonable instruction following
Typical use cases
  • General chat
  • Drafting and rewriting
  • Personal productivity
Benchmarks
No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.
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Nemotron-4-340B
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Mistral-NeMo-12B (NIM)
Efficient · 128K ctx
in $0.150/Mout $0.150/M
Phi-3-Mini-4K (NIM)
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Mistral-Large-2 (NIM)
Enterprise · 128K ctx
in $2.000/Mout $6.000/M
Frequently asked questions

How much does Llama 3.3 Nemotron Super 49B V1.5 cost?

Llama 3.3 Nemotron Super 49B V1.5 costs $0.400 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.400 per million tokens.

What is Llama 3.3 Nemotron Super 49B V1.5's context window?

Llama 3.3 Nemotron Super 49B V1.5 supports up to 131K tokens of context (131,072 tokens).

What is Llama 3.3 Nemotron Super 49B V1.5 best for?

Llama 3.3 Nemotron Super 49B V1.5 is well suited to Solid general chat performance, Reasonable instruction following and General chat.

Who makes Llama 3.3 Nemotron Super 49B V1.5?

Llama 3.3 Nemotron Super 49B V1.5 is developed and served by Nvidia.