Llama Nemotron Super 49B v1.5 (Non-reasoning)

Llama Nemotron Super 49B v1.5 (Non-reasoning)

NVIDIA · Released Jul 25, 2025 Efficient
Intelligence #236 / 556
36.7 Our Score
Speed #203 / 257
52.2 tokens / sec
Input #189 / 557
$0.100 per 1M tokens
Output #217 / 557
$0.400 per 1M tokens
Context
Not reported

Analysis Summary

Llama Nemotron Super 49B v1.5 (Non-reasoning) sits in the Efficient tier on our leaderboard, ranked #236 of 556 published models on overall intelligence. At $0.100 input and $0.400 output per 1M tokens, it is among the most expensive on the market.

Editorial notes

Nemotron Super 49B Non-reasoning is very affordable at $0.10 input, but benchmark scores across intelligence, coding, and agentic tasks are weak, limiting its practical business value.

Assessed May 14, 2026

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence3.1Technical1.8Value7Content3
Intelligence 3.1/10
Technical 1.8/10
Content 3/10
Value 7/10

Performance Indices

Source: Artificial Analysis

14.6 Intelligence Index
10.5 Coding Index
14.5 Agentic Index
8 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 48.1% Graduate-level scientific reasoning
HLE 4.3% Humanity's Last Exam
MMLU Pro 69.2% Multi-task language understanding
MATH 500 77% Mathematical problem-solving
AIME 13.7% Competition mathematics
AIME 2025 8% Competition mathematics (2025)
SciCode 23.8% Scientific computing

Technical

LiveCodeBench 29% Live coding evaluation
TerminalBench Hard 3.8% Agentic terminal tasks
τ²-Bench 25.1% Conversational agent benchmark

Content

IFBench 32.9% Instruction following
LCR 22% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Llama Nemotron Super 49B v1.5 (Non-reasoning) stack up?

Compare side-by-side with other efficient models.

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Model Information

ProviderNVIDIA
Release Date July 25, 2025
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.10 $0.000100
Output $0.40 $0.000400