Model Comparison

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

xAI

Grok-1.5V

xAI

Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI'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.

xAI

Grok-1.5V

xAI

2024-04-12

Jamba 1.5 Large

AI21 Labs

2024-08-22

4 months newer

Performance Metrics

Context window and performance specifications

xAI

Grok-1.5V

Max Context:-

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B

Performance comparison across key benchmark categories

xAI

Grok-1.5V

math
52.8%
general
+20.6%
77.7%

Jamba 1.5 Large

math
+34.2%
87.0%
general
57.1%
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

xAI

Grok-1.5V

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
xAI

Grok-1.5V

Avg Score:0.0%
Providers:0

Jamba 1.5 Large

Avg Score:0.0%
Providers:2