Model Comparison

Gemini 2.5 Pro vs Jamba 1.5 Mini

Gemini 2.5 Pro significantly outperforms across most benchmarks. Jamba 1.5 Mini is 13.8x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Pro outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.

Gemini 2.5 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

Jamba 1.5 Mini costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 6.3x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 25.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Gemini 2.5 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
Wed Apr 22 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 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 2.5 Pro is limited to 65,536 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 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 2.5 Pro

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Jamba 1.5 Mini was released on 2024-08-22.

Gemini 2.5 Pro is 9 months newer than Jamba 1.5 Mini.

Gemini 2.5 Pro

May 20, 2025

11 months ago

9mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemini 2.5 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Gemini 2.5 Pro

Jan 2025

10 mo newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

Gemini 2.5 Pro is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (83.0% vs 32.3%)
AI21 Labs
Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Pro
AI21 LabsJamba 1.5 Mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Gemini 2.5 Pro vs Jamba 1.5 Mini

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 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 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. 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 6.3x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/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 2.5 Pro supports 1.0M 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 (1.0M vs 256K), input pricing ($1.25 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 2.5 Pro is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.