Model Comparison
Gemini 1.5 Flash vs Jamba 1.5 MiniWhich is better in 2026?
Gemini 1.5 Flash significantly outperforms across most benchmarks. Jamba 1.5 Mini is 1.0x cheaper per token.
Verdict: Gemini 1.5 Flash vs Jamba 1.5 Mini — which is better?
Gemini 1.5 Flash (by Google) and Jamba 1.5 Mini (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 1.5 Flash outperforms in 4 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks. Gemini 1.5 Flash significantly outperforms across most benchmarks.
Gemini 1.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Flash if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose Jamba 1.5 Mini if…
- you want the most recent training data — it shipped Aug 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash outperforms in 4 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks.
Gemini 1.5 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 1.3x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 1.5x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, Gemini 1.5 Flash is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 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 1.5 Flash is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash supports multimodal inputs, whereas Jamba 1.5 Mini 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
Jamba 1.5 Mini
License
Usage and distribution terms
Gemini 1.5 Flash 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.
Proprietary
Closed source
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 Mini was released on 2024-08-22.
Jamba 1.5 Mini is 4 months newer than Gemini 1.5 Flash.
May 1, 2024
2.1 years ago
Aug 22, 2024
1.8 years ago
3mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 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 Flash (2023-11-01).
Nov 2023
Mar 2024
4 mo newerProvider Availability
Gemini 1.5 Flash is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.
Gemini 1.5 Flash
Jamba 1.5 Mini
Outputs Comparison
Key Takeaways
Jamba 1.5 Mini
View detailsAI21 Labs
Detailed Comparison
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FAQ
Common questions about Gemini 1.5 Flash vs Jamba 1.5 Mini.