Llama Nemotron Super 49B v1.5 (Reasoning)

Llama Nemotron Super 49B v1.5 (Reasoning)

NVIDIA · Released Jul 25, 2025 Professional
Intelligence #10 / 576
82.0 Our Score
Speed #215 / 271
51.4 tokens / sec
Input #196 / 577
$0.100 per 1M tokens
Output #226 / 577
$0.400 per 1M tokens
Context
— Not reported

Analysis Summary

This is NVIDIA's reasoning-mode configuration of the Nemotron Super 49B v1.5, priced at $0.10 per million input tokens and $0.40 output. In reasoning mode, it achieves a strong AIME 25 score of 0.767 and livecodebench of 0.737, indicating genuine mathematical and code-generation capability when given extended compute for chain-of-thought.

However, the overall intelligence index of 18.7 and coding index of 15.1 reflect that these gains are task-specific rather than broadly generalised. Agentic performance at 16.7 is low, and long-context reliability at 0.34 limits its usefulness for document-heavy workflows. The terminalbench score is also weak.

At its price point, this model suits teams with specific mathematical or competitive-coding workloads who can leverage reasoning mode effectively. For general business automation, content, or agent tasks, stronger alternatives are available at comparable cost.

Assessed June 6, 2026

Editorial notes

Llama Nemotron Super 49B v1.5 (Reasoning) shows strong math and livecodebench scores in reasoning mode, with AIME 25 at 0.767, but agentic and general intelligence indices remain modest for a 49B-class model at $0.10 input.

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

Performance Profile

Intelligence3.5Technical2.6Value7Content4.1
Intelligence 3.5/10
Technical 2.6/10
Content 4.1/10
Value 7/10

How Llama Nemotron Super 49B v1.5 (Reasoning) compares

Llama Nemotron Super 49B v1.5 (Reasoning) ranks #185 of 378 AI models we track for overall intelligence, #179 of 315 for coding, #201 of 289 for agentic tasks. At $0.10 per million input tokens it is cheaper than 66% of comparable models.

Performance Indices

Source: Artificial Analysis

18.7 Intelligence Index
15.1 Coding Index
16.7 Agentic Index
76.7 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 74.8% Graduate-level scientific reasoning
HLE 6.8% Humanity's Last Exam
MMLU Pro 81.4% Multi-task language understanding
MATH 500 98.3% Mathematical problem-solving
AIME 86% Competition mathematics
AIME 2025 76.7% Competition mathematics (2025)
SciCode 34.8% Scientific computing

Technical

LiveCodeBench 73.7% Live coding evaluation
TerminalBench Hard 5.3% Agentic terminal tasks
τ²-Bench 28.1% Conversational agent benchmark

Content

IFBench 37% Instruction following
LCR 34% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Llama Nemotron Super 49B v1.5 (Reasoning) stack up?

Compare side-by-side with other professional 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

Leaderboard Categories

Frequently asked questions about Llama Nemotron Super 49B v1.5 (Reasoning)

How much does Llama Nemotron Super 49B v1.5 (Reasoning) cost?

Llama Nemotron Super 49B v1.5 (Reasoning) costs $0.10 per million input tokens and $0.40 per million output tokens.

Is Llama Nemotron Super 49B v1.5 (Reasoning) good for coding?

On our coding benchmark index, Llama Nemotron Super 49B v1.5 (Reasoning) ranks #179 of 315 models, placing it in the broader range of the field for code generation and debugging.

Who created Llama Nemotron Super 49B v1.5 (Reasoning)?

Llama Nemotron Super 49B v1.5 (Reasoning) is developed by NVIDIA and was released on July 25, 2025.