Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.5 Pro

Google

Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

Llama-3.3 Nemotron Super 49B v1 is a language model developed by NVIDIA. This model demonstrates exceptional performance with an average score of 81.0% across 7 benchmarks. It excels particularly in MATH-500 (96.6%), MT-Bench (91.7%), MBPP (91.3%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

Google

Gemini 2.5 Pro

Google

2025-05-20

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Max Context:-
Parameters:49.9B

Average performance across 2 common benchmarks

Google

Gemini 2.5 Pro

+20.5%
Average Score:83.0%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Average Score:62.5%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

code
70.6%
general
69.4%
NVIDIA

Llama-3.3 Nemotron Super 49B v1

code
+20.7%
91.3%
general
+2.4%
71.8%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Llama-3.3 Nemotron Super 49B v1

2023-12-31

Gemini 2.5 Pro

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
NVIDIA

Llama-3.3 Nemotron Super 49B v1

0 providers
Google

Gemini 2.5 Pro

+20.5%
Avg Score:83.0%
Providers:1
NVIDIA

Llama-3.3 Nemotron Super 49B v1

Avg Score:62.5%
Providers:0