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 Ultra 253B v1

NVIDIA

Llama 3.1 Nemotron Ultra 253B v1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 79.2% across 6 benchmarks. It excels particularly in MATH-500 (97.0%), IFEval (89.5%), GPQA (76.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Llama 3.1 Nemotron Ultra 253B v1

NVIDIA

2025-04-07

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Llama 3.1 Nemotron Ultra 253B v1

Max Context:-

Parameters:253.0B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Llama 3.1 Nemotron Ultra 253B v1

+48.1%

Average Score:76.0%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

51.4%

Llama 3.1 Nemotron Ultra 253B v1

math

+57.4%

97.0%

general

+22.8%

74.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron Ultra 253B v1

2023-12-01

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 Ultra 253B v1

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Llama 3.1 Nemotron Ultra 253B v1

+48.1%

Avg Score:76.0%

Providers:0