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

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K 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. Released in 2025, 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.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Grok-4
xAI
2025-07-09
10 months newer
Pricing Comparison
Cost per million tokens (USD)

Grok-4
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications

Grok-4
Jamba 1.5 Large
Average performance across 1 common benchmarks

Grok-4
Jamba 1.5 Large
Performance comparison across key benchmark categories

Grok-4
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Grok-4
xAI
ZeroEval
Jamba 1.5 Large
Bedrock

Grok-4
Jamba 1.5 Large