Model Comparison

Jamba 1.5 Large vs o1-pro

o1-pro significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while o1-pro is better at 1 benchmark (GPQA).

o1-pro significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
OpenAI
o1-pro
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o1-pro supports multimodal inputs, whereas Jamba 1.5 Large does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Large

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while o1-pro uses a proprietary license.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

o1-pro

Proprietary

Closed source

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while o1-pro was released on 2024-12-17.

o1-pro is 4 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

o1-pro

Dec 17, 2024

1.3 years ago

3mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a knowledge cutoff of 2024-03-05, while o1-pro has a cutoff of 2023-09-30.

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 o1-pro (2023-09-30).

Jamba 1.5 Large

Mar 2024

6 mo newer
o1-pro

Sep 2023

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Has open weights
OpenAI
Supports multimodal inputs
Higher GPQA score (79.0% vs 36.9%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
OpenAI
o1-pro

FAQ

Common questions about Jamba 1.5 Large vs o1-pro

o1-pro significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and o1-pro is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.
Jamba 1.5 Large supports 256K tokens and o1-pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and o1-pro is developed by OpenAI.