Gemini 3 Pro Preview (high) vs Llama Nemotron Super 49B v1.5 (Reasoning)

Comparing 2 AI models · 6 benchmarks · Google, NVIDIA

Most Affordable
NVIDIA logo
Llama Nemotron Super 49B v1.5 (Reasoning)
$0.10/1M
Highest Intelligence
Google logo
Gemini 3 Pro Preview (high)
90.8% GPQA
Best for Coding
Google logo
Gemini 3 Pro Preview (high)
62.3 Coding Index
Price Difference
20.0x
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

6 tests
Google logo

Gemini 3 Pro Preview (high)

5
  • GPQA
  • MMLU Pro
  • HLE
  • LiveCodeBench
  • AIME 2025
NVIDIA logo

Llama Nemotron Super 49B v1.5 (Reasoning)

1
  • MATH 500
Metric
Google logo Gemini 3 Pro Preview (high)
Google
NVIDIA logo Llama Nemotron Super 49B v1.5 (Reasoning)
NVIDIA
Pricing
Per 1M tokens
Input Cost $2.00/1M $0.10/1M
Output Cost $12.00/1M $0.40/1M
Blended Cost 3:1 input/output ratio
$4.50/1M $0.18/1M
Specifications
Organization Model creator
Google NVIDIA
Release Date Launch date
Nov 18, 2025 Jul 25, 2025
Performance & Speed
Throughput Output speed
138.9 tok/s 75.8 tok/s
Time to First Token (TTFT) Initial response delay
26684ms 223ms
Latency Time to first answer token
26684ms 26596ms
Composite Indices
Intelligence Index Overall reasoning capability
72.8 45.2
Coding Index Programming ability
62.3 37.8
Math Index Mathematical reasoning
95.7 76.7
Standard Benchmarks
GPQA Graduate-level reasoning
90.8% 74.8%
MMLU Pro Advanced knowledge
89.8% 81.4%
HLE Hard language evaluation
37.2% 6.8%
LiveCodeBench Real-world coding tasks
91.7% 73.7%
MATH 500 Mathematical problems
98.3%
AIME 2025 Advanced math competition
95.7% 76.7%
AIME (Original) Math olympiad problems
86.0%
SciCode Scientific code generation
56.1% 34.8%
LCR Code review capability
70.7% 34.0%
IFBench Instruction-following
70.4% 37.0%
TAU-bench v2 Tool use & agentic tasks
87.1% 28.1%
TerminalBench Hard CLI command generation
39.0% 5.0%

Key Takeaways

Llama Nemotron Super 49B v1.5 (Reasoning) offers the best value at $0.10/1M, making it ideal for high-volume applications and cost-conscious projects.

Gemini 3 Pro Preview (high) leads in reasoning capabilities with a 90.8% GPQA score, excelling at complex analytical tasks and problem-solving.

Gemini 3 Pro Preview (high) achieves a 62.3 coding index, making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Google logo

Gemini 3 Pro Preview (high)

  • Complex reasoning tasks
  • Research & analysis
  • Code generation
  • Software development
NVIDIA logo