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.

Grok-2 mini

xAI

Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

Grok-2 mini

xAI

2024-08-13

6 months newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Grok-2 mini

Max Context:-

Average performance across 5 common benchmarks

Gemini 1.0 Pro

Average Score:45.4%

Grok-2 mini

+22.9%

Average Score:68.3%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

vision

47.9%

math

39.6%

general

51.4%

Grok-2 mini

vision

+30.3%

78.2%

math

+30.9%

70.5%

general

+18.3%

69.7%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

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

Grok-2 mini

0 providers

Gemini 1.0 Pro

Avg Score:45.4%

Providers:1

Grok-2 mini

+22.9%

Avg Score:68.3%

Providers:0