Model Comparison

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

Gemini Diffusion

Google

Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google'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

Gemini Diffusion

Google

2025-05-20

9 months newer

Performance Metrics

Context window and performance specifications

Gemini Diffusion

Max Context:-

Jamba 1.5 Large

Larger context

Max Context:512.0K

Parameters:398.0B

Average performance across 1 common benchmarks

Gemini Diffusion

+3.5%

Average Score:40.4%

Jamba 1.5 Large

Average Score:36.9%

Performance comparison across key benchmark categories

Gemini Diffusion

general

37.9%

Jamba 1.5 Large

general

+19.2%

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

Gemini Diffusion

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s

Latency: 0.3ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Gemini Diffusion

+3.5%

Avg Score:40.4%

Providers:0

Jamba 1.5 Large

Avg Score:36.9%

Providers:2