Gemini 3.7 Flash vs Jamba 1.5 Large
Comparing Gemini 3.7 Flash and Jamba 1.5 Large across benchmarks, pricing, and capabilities.
Google · AI21 Labs · Updated for 2026
Which is better?
Gemini 3.7 Flash and Jamba 1.5 Large trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Gemini 3.7 Flash is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 3.7 Flash
- cost matters — it's about 2.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Jamba 1.5 Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.7 Flash and Jamba 1.5 Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 2.7x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 2.1x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Gemini 3.7 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.7 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 3.7 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.7 Flash supports multimodal inputs, whereas Jamba 1.5 Large does not.
Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.7 Flash
Jamba 1.5 Large
License
Usage and distribution terms
Gemini 3.7 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 3.7 Flash was released on 2026-08-13, while Jamba 1.5 Large was released on 2024-08-22.
Gemini 3.7 Flash is 24 months newer than Jamba 1.5 Large.
Aug 13, 2026
1 weeks ago
2.0yr newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while Jamba 1.5 Large has a cutoff of 2024-03-05.
Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Jamba 1.5 Large (2024-03-05).
Mar 2026
2 yr newerMar 2024
Provider Availability
Gemini 3.7 Flash is available from Google. Jamba 1.5 Large is available from Bedrock, Google.
Gemini 3.7 Flash
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs Jamba 1.5 Large.