Gemini 1.0 Pro vs Jamba 1.5 Mini Comparison

Comparing Gemini 1.0 Pro and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Jamba 1.5 Mini is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Mar 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 2.5x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 3.8x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Jamba 1.5 Mini.*

* 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 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Fri Mar 20 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Jamba 1.5 Mini uses Jamba Open Model License.

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

Gemini 1.0 Pro

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Jamba 1.5 Mini was released on 2024-08-22.

Jamba 1.5 Mini is 6 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.1 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 1.0 Pro

Feb 2024

Jamba 1.5 Mini

Mar 2024

1 mo newer

Provider Availability

Gemini 1.0 Pro is available from Google. Jamba 1.5 Mini is available from Bedrock, Google. The availability of providers can affect quality of the model and reliability.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Higher MMLU score (71.8% vs 69.7%)
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (32.3% vs 27.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
AI21 Labs
Jamba 1.5 Mini