Model Comparison

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

Google

Gemma 3 27B

Google

Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). The model shows particular specialization in math tasks with an average performance of 78.2%. It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Jamba 1.5 Mini

AI21 Labs

Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 Mini

AI21 Labs

2024-08-22

Google

Gemma 3 27B

Google

2025-03-12

6 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemma 3 27B

$0.30 cheaper
Input:$0.10
Output:$0.20

Jamba 1.5 Mini

Input:$0.20
Output:$0.40

Performance Metrics

Context window and performance specifications

Google

Gemma 3 27B

Max Context:262.1K
Parameters:27.0B

Jamba 1.5 Mini

Larger context
Max Context:512.3K
Parameters:52.0B

Average performance across 3 common benchmarks

Google

Gemma 3 27B

+18.4%
Average Score:68.6%

Jamba 1.5 Mini

Average Score:50.2%

Performance comparison across key benchmark categories

Google

Gemma 3 27B

math
+2.4%
78.2%
factuality
+20.8%
74.9%
general
+6.9%
53.5%

Jamba 1.5 Mini

math
75.8%
factuality
54.1%
general
46.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Mini

2024-03-05

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3 27B

2 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms

Novita

Throughput: 33 tok/s
Latency: 0.2ms

Jamba 1.5 Mini

2 providers

Google

Throughput: 100 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3 27B

+18.4%
Avg Score:68.6%
Providers:2

Jamba 1.5 Mini

Avg Score:50.2%
Providers:2