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 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1

Max Context:-

Parameters:8.0B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Llama 3.1 Nemotron Nano 8B V1

+26.2%

Average Score:54.1%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Llama 3.1 Nemotron Nano 8B V1

math

+55.8%

95.4%

general

+3.5%

54.9%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Nano 8B 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 3.1 Nemotron Nano 8B V1

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Llama 3.1 Nemotron Nano 8B V1

+26.2%

Avg Score:54.1%

Providers:0