Model Comparison

Gemini 1.5 Flash vs Jamba 1.5 Large

Both models are evenly matched across the benchmarks. Gemini 1.5 Flash is 13.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Jamba 1.5 Large is better at 2 benchmarks (GSM8k, MMLU).

Both models are evenly matched across the benchmarks.

Sun Apr 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 13.3x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 13.3x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

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

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

Lowest available price from all providers
Sun Apr 05 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
AI21 Labs
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 1.5 Flash 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 1.5 Flash is limited to 8,192 tokens.

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sun Apr 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 1.5 Flash

Text
Images
Audio
Video

Jamba 1.5 Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 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 Flash

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 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 Flash.

Gemini 1.5 Flash

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 Flash 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 Flash (2023-11-01).

Gemini 1.5 Flash

Nov 2023

Jamba 1.5 Large

Mar 2024

4 mo newer

Provider Availability

Gemini 1.5 Flash is available from Google. Jamba 1.5 Large is available from Bedrock, Google.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (51.0% vs 36.9%)
Higher MMLU-Pro score (67.3% vs 53.5%)
AI21 Labs
Has open weights
Higher GSM8k score (87.0% vs 86.2%)
Higher MMLU score (81.2% vs 78.9%)
GoogleGemini 1.5 Flash
AI21 LabsJamba 1.5 Large
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Detailed Comparison

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

FAQ

Common questions about Gemini 1.5 Flash vs Jamba 1.5 Large

Both models are evenly matched across the benchmarks. Gemini 1.5 Flash 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.
Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Gemini 1.5 Flash is 13.3x cheaper for input tokens. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
Gemini 1.5 Flash 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.
Key differences include context window (1.0M vs 256K), input pricing ($0.15 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.
Gemini 1.5 Flash is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.