+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.5 Pro vs IBM Granite 4.0 Tiny Preview
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 32.8% higher average benchmark score. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
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.
1 year newer
Gemini 1.5 Pro
2024-05-01
IBM Granite 4.0 Tiny Preview
IBM
2025-05-02
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
+
+
+
+
Gemini 1.5 Pro
Average Score:55.6%(+32.8%)
+
+
+
+
IBM Granite 4.0 Tiny Preview
Average Score:22.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Gemini 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
IBM Granite 4.0 Tiny Preview
+
+
+
+
Gemini 1.5 Pro
Avg Score:55.6%(+32.8%)
Providers:1
+
+
+
+
IBM Granite 4.0 Tiny Preview
Avg Score:22.8%
Providers:0