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.

IBM Granite 4.0 Tiny Preview

IBM

IBM Granite 4.0 Tiny Preview is a language model developed by IBM. The model shows competitive results across 12 benchmarks. It excels particularly in AttaQ (86.1%), HumanEval (82.4%), HumanEval+ (78.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents IBM's latest advancement in AI technology.

Gemini 1.0 Pro

Google

2024-02-15

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

IBM Granite 4.0 Tiny Preview

Max Context:-

Parameters:7.0B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

+11.4%

Average Score:71.8%

IBM Granite 4.0 Tiny Preview

Average Score:60.4%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

math

39.6%

general

+1.7%

51.4%

IBM Granite 4.0 Tiny Preview

math

+30.5%

70.1%

general

49.7%

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

IBM Granite 4.0 Tiny Preview

0 providers

Gemini 1.0 Pro

+11.4%

Avg Score:71.8%

Providers:1

IBM Granite 4.0 Tiny Preview

Avg Score:60.4%

Providers:0