Model Comparison

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

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.

OpenAI

o3-pro

OpenAI

o3-pro is a multimodal language model developed by OpenAI. It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.

Jamba 1.5 Large

AI21 Labs

2024-08-22

OpenAI

o3-pro

OpenAI

2025-06-10

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Jamba 1.5 Large

$90.00 cheaper
Input:$2.00
Output:$8.00
OpenAI

o3-pro

Input:$20.00
Output:$80.00

Performance Metrics

Context window and performance specifications

Jamba 1.5 Large

Larger context
Max Context:512.0K
Parameters:398.0B
OpenAI

o3-pro

Max Context:300.0K
Knowledge Cutoff
Training data recency comparison

Jamba 1.5 Large

2024-03-05

o3-pro

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Jamba 1.5 Large

2 providers

Google

Throughput: 42 tok/s
Latency: 0.3ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

o3-pro

1 providers

OpenAI

Throughput: 25 tok/s
Latency: 30ms

Jamba 1.5 Large

Avg Score:0.0%
Providers:2
OpenAI

o3-pro

Avg Score:0.0%
Providers:1