Model Comparison

Gemini 3.5 Flash-Lite vs Jamba 1.5 MiniWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Jamba 1.5 Mini — which is better?

Gemini 3.5 Flash-Lite (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.

On price, Jamba 1.5 Mini is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Jamba 1.5 Mini if…

  • cost matters — it's about 3.4x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Jamba 1.5 Minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.5x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 6.3x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Gemini 3.5 Flash-Lite is more expensive than Jamba 1.5 Mini.*

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

Lowest available price from all providers
Thu Jul 23 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Thu Jul 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite 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.

Gemini 3.5 Flash-Lite

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Jamba 1.5 Mini was released on 2024-08-22.

Gemini 3.5 Flash-Lite is 23 months newer than Jamba 1.5 Mini.

Gemini 3.5 Flash-Lite

Jul 21, 2026

1 days ago

1.9yr newer
Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemini 3.5 Flash-Lite 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 Mini (2024-03-05).

Gemini 3.5 Flash-Lite

Mar 2026

2 yr newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
AI21 Labs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Jamba 1.5 Mini
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Jamba 1.5 Mini.

Which is better, Gemini 3.5 Flash-Lite or Jamba 1.5 Mini?

Gemini 3.5 Flash-Lite (Google) and Jamba 1.5 Mini (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to Jamba 1.5 Mini in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is Gemini 3.5 Flash-Lite cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 1.5x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for Gemini 3.5 Flash-Lite and Jamba 1.5 Mini?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.5 Flash-Lite and Jamba 1.5 Mini?

Key differences include context window (1.0M vs 256K), input pricing ($0.30 vs $0.20/M), multimodal support (yes vs no), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Jamba 1.5 Mini?

Gemini 3.5 Flash-Lite is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.

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