Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

IBM

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.

Jamba 1.5 Large

AI21 Labs

Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

IBM

IBM Granite 4.0 Tiny Preview

IBM

2025-05-02

8 months newer

Performance Metrics

Context window and performance specifications

IBM

IBM Granite 4.0 Tiny Preview

Max Context:-
Parameters:7.0B

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B

Average performance across 4 common benchmarks

IBM

IBM Granite 4.0 Tiny Preview

Average Score:53.8%

Jamba 1.5 Large

+19.2%
Average Score:73.0%

Performance comparison across key benchmark categories

IBM

IBM Granite 4.0 Tiny Preview

math
70.1%
factuality
58.1%
general
49.7%

Jamba 1.5 Large

math
+16.9%
87.0%
factuality
+0.2%
58.3%
general
+7.4%
57.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Large

2024-03-05

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

IBM

IBM Granite 4.0 Tiny Preview

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
IBM

IBM Granite 4.0 Tiny Preview

Avg Score:53.8%
Providers:0

Jamba 1.5 Large

+19.2%
Avg Score:73.0%
Providers:2