Model Comparison

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

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemini 1.0 Pro

Google

2024-02-15

Llama-3.3 Nemotron Super 49B v1

NVIDIA

2025-03-18

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Llama-3.3 Nemotron Super 49B v1

Max Context:-

Parameters:49.9B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Llama-3.3 Nemotron Super 49B v1

+38.8%

Average Score:66.7%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Llama-3.3 Nemotron Super 49B v1

math

+57.0%

96.6%

general

+20.4%

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 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Llama-3.3 Nemotron Super 49B v1

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Llama-3.3 Nemotron Super 49B v1

+38.8%

Avg Score:66.7%

Providers:0