GPT-4o mini vs Jamba 1.5 Large Comparison

Comparing GPT-4o mini and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o mini outperforms in 2 benchmarks (GPQA, MMLU), while Jamba 1.5 Large is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 13.3x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 13.3x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than GPT-4o mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to GPT-4o mini's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Jamba 1.5 Large does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o mini

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 1 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, while Jamba 1.5 Large has a cutoff of 2024-03-05.

Jamba 1.5 Large has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

Jamba 1.5 Large

Mar 2024

5 mo newer

Provider Availability

GPT-4o mini is available from Azure. Jamba 1.5 Large is available from Bedrock, Google. The availability of providers can affect quality of the model and reliability.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (40.2% vs 36.9%)
Higher MMLU score (82.0% vs 81.2%)
Larger context window (256,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
AI21 Labs
Jamba 1.5 Large