Gemini 1.5 Pro vs Jamba 1.5 Large Comparison

Comparing Gemini 1.5 Pro and Jamba 1.5 Large across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Pro outperforms in 4 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro), while Jamba 1.5 Large is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Fri Mar 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Large costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Jamba 1.5 Large.*

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

Lowest available price from all providers
Fri Mar 20 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri Mar 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas Jamba 1.5 Large does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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.

Gemini 1.5 Pro

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Jamba 1.5 Large was released on 2024-08-22.

Jamba 1.5 Large is 4 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, 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 Gemini 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Jamba 1.5 Large

Mar 2024

4 mo newer

Provider Availability

Gemini 1.5 Pro is available from Google. Jamba 1.5 Large is available from Bedrock, Google. The availability of providers can affect quality of the model and reliability.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher GPQA score (59.1% vs 36.9%)
Higher GSM8k score (90.8% vs 87.0%)
Higher MMLU score (85.9% vs 81.2%)
Higher MMLU-Pro score (75.8% vs 53.5%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
AI21 Labs
Jamba 1.5 Large