Model Comparison
Gemini 3 Flash vs Jamba 1.5 LargeWhich is better in 2026?
Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is 3.1x cheaper per token.
Verdict: Gemini 3 Flash vs Jamba 1.5 Large — which is better?
Gemini 3 Flash (by Google) and Jamba 1.5 Large (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 3 Flash outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.
On price, Gemini 3 Flash is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3 Flash if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 3.1x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
Choose Jamba 1.5 Large if…
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Flash outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
Gemini 3 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Flash ($0.50/1M tokens) is 4.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Gemini 3 Flash ($3.00/1M tokens) is 2.7x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Gemini 3 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Flash accepts 1,000,000 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 3 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Flash supports multimodal inputs, whereas Jamba 1.5 Large does not.
Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Flash
Jamba 1.5 Large
License
Usage and distribution terms
Gemini 3 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.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Gemini 3 Flash was released on 2025-12-17, while Jamba 1.5 Large was released on 2024-08-22.
Gemini 3 Flash is 16 months newer than Jamba 1.5 Large.
Dec 17, 2025
5 months ago
1.3yr newerAug 22, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Gemini 3 Flash 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).
Jan 2025
10 mo newerMar 2024
Provider Availability
Gemini 3 Flash is available from Google. Jamba 1.5 Large is available from Bedrock, Google.
Gemini 3 Flash
Jamba 1.5 Large
Outputs Comparison
Key Takeaways
Jamba 1.5 Large
View detailsAI21 Labs
Detailed Comparison
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FAQ
Common questions about Gemini 3 Flash vs Jamba 1.5 Large.