Model Comparison

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

Grok-1.5

xAI

Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). 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.

Grok-1.5

xAI

2024-03-28

Jamba 1.5 Large

AI21 Labs

2024-08-22

4 months newer

Performance Metrics

Context window and performance specifications

Grok-1.5

Max Context:-

Jamba 1.5 Large

Larger context

Max Context:512.0K

Parameters:398.0B

Average performance across 4 common benchmarks

Grok-1.5

Average Score:64.5%

Jamba 1.5 Large

+0.1%

Average Score:64.7%

Performance comparison across key benchmark categories

Grok-1.5

math

64.5%

general

56.1%

Jamba 1.5 Large

math

+22.5%

87.0%

general

+1.0%

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

Grok-1.5

0 providers

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s

Latency: 0.3ms

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Grok-1.5

Avg Score:64.5%

Providers:0

Jamba 1.5 Large

+0.1%

Avg Score:64.7%

Providers:2