Model Comparison

Gemini 2.5 Pro vs Jamba 1.5 Large

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is 1.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Pro costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 1.6x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Gemini 2.5 Pro.*

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

Lowest available price from all providers

Tue May 26 2026 • llm-stats.com

Gemini 2.5 Pro

Input tokens$1.25

Output tokens$10.00

Best providerGoogle

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

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Context Window

Maximum input and output token capacity

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

Gemini 2.5 Pro

Input1,048,576 tokens

Output65,536 tokens

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Jamba 1.5 Large 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 Large

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.5 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 2.5 Pro

Proprietary

Closed source

Jamba 1.5 Large

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 Large was released on 2024-08-22.

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

Gemini 2.5 Pro

May 20, 2025

1.0 years ago

9mo newer

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

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

Gemini 2.5 Pro

Jan 2025

10 mo newer

Jamba 1.5 Large

Mar 2024

Provider Availability

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

Gemini 2.5 Pro

Google

Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Google

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Gemini 2.5 Pro

View details

Google

Larger context window (1,048,576 tokens)

Supports multimodal inputs

Less expensive input tokens

Higher GPQA score (83.0% vs 36.9%)

Jamba 1.5 Large

View details

AI21 Labs

Less expensive output tokens

Has open weights

Gemini 2.5 Pro

Jamba 1.5 Large

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.5 Pro	Jamba 1.5 Large

FAQ

Common questions about Gemini 2.5 Pro vs Jamba 1.5 Large.

Which is better, Gemini 2.5 Pro or Jamba 1.5 Large?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to Jamba 1.5 Large in benchmarks?

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 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is Gemini 2.5 Pro cheaper than Jamba 1.5 Large?

Gemini 2.5 Pro is 1.6x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

What are the context window sizes for Gemini 2.5 Pro and Jamba 1.5 Large?

Gemini 2.5 Pro supports 1.0M tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro and Jamba 1.5 Large?

Key differences include context window (1.0M vs 256K), input pricing ($1.25 vs $2.00/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Jamba 1.5 Large?

Gemini 2.5 Pro is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.