Gemini 2.0 Flash vs Jamba 1.5 Mini
Gemini 2.0 Flash leads the LLM Stats Score 16.7 to -5.5. Gemini 2.0 Flash is 1.4x cheaper per token.
Google · AI21 Labs · Updated for 2026
Which is better?
Gemini 2.0 Flash leads the overall LLM Stats Score 16.7 to -5.5, ranking #204 overall.
In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 2.0 Flash
- overall performance matters — it scores 16.7 and ranks #204 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.4x 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 Dec 2024
Choose Jamba 1.5 Mini
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash · 8 for Jamba 1.5 Mini
Gemini 2.0 Flash outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks.
Gemini 2.0 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 2.0x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) costs the same as Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, Jamba 1.5 Mini is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 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 2.0 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 2.0 Flash supports multimodal inputs, whereas Jamba 1.5 Mini does not.
Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.0 Flash
Jamba 1.5 Mini
License
Usage and distribution terms
Gemini 2.0 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 2.0 Flash was released on 2024-12-01, while Jamba 1.5 Mini was released on 2024-08-22.
Gemini 2.0 Flash is 3 months newer than Jamba 1.5 Mini.
Dec 1, 2024
1.7 years ago
3mo newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.
Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).
Aug 2024
5 mo newerMar 2024
Provider Availability
Gemini 2.0 Flash is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.
Gemini 2.0 Flash
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs Jamba 1.5 Mini.