Model Comparison

Gemini 1.5 Pro vs Jamba 1.5 Mini

Gemini 1.5 Pro significantly outperforms across most benchmarks. Jamba 1.5 Mini is 17.5x cheaper per token.

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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 Mini is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Thu Mar 26 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 1.5 Pro ($2.50/1M tokens) is 12.5x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 25.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Gemini 1.5 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
Thu Mar 26 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 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 Mini
Input256,144 tokens
Output256,144 tokens
Thu Mar 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas Jamba 1.5 Mini 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 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Pro

Proprietary

Closed source

Jamba 1.5 Mini

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 Mini was released on 2024-08-22.

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

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Jamba 1.5 Mini

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 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 1.5 Pro (2023-11-01).

Gemini 1.5 Pro

Nov 2023

Jamba 1.5 Mini

Mar 2024

4 mo newer

Provider Availability

Gemini 1.5 Pro is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.

Gemini 1.5 Pro

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

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

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher GPQA score (59.1% vs 32.3%)
Higher GSM8k score (90.8% vs 75.8%)
Higher MMLU score (85.9% vs 69.7%)
Higher MMLU-Pro score (75.8% vs 42.5%)
AI21 Labs
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 Mini

FAQ

Common questions about Gemini 1.5 Pro vs Jamba 1.5 Mini

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 Pro is made by Google and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
Jamba 1.5 Mini is 12.5x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
Gemini 1.5 Pro supports 2.1M tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (2.1M vs 256K), input pricing ($2.50 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.