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Gemini 2.0 Flash-Lite vs Jamba 1.5 Mini

Gemini 2.0 Flash-Lite leads the LLM Stats Score 12.4 to -5.7. Gemini 2.0 Flash-Lite is 2.0x cheaper per token.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemini 2.0 Flash-Lite leads the overall LLM Stats Score 12.4 to -5.7, ranking #250 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash-Lite wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemini 2.0 Flash-Lite is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash-Lite 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-Lite

  • overall performance matters — it scores 12.4 and ranks #250 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 2.0x 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 Feb 2025

Choose Jamba 1.5 Mini

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash-Lite
Google
Jamba 1.5 Mini
AI21 Labs
Core performance indexes
LLM Stats Score
12.4
#250
-5.7
#358
Reasoning
12.5
#243
-5.6
#349
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.07 / M
$0.20 / M
Output price
$0.30 / M
$0.40 / M
Context window
1,048,576
256,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 2.0 Flash-Lite
Jamba 1.5 Mini
Math
18.2#184
-4.0#315
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash-Lite · 8 for Jamba 1.5 Mini

2 shared

Gemini 2.0 Flash-Lite outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Jamba 1.5 Mini is better at 0 benchmarks.

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 2.9x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 1.3x cheaper than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Gemini 2.0 Flash-Lite.*

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

Lowest available price from all providers
Sun Sep 13 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
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 2.0 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 2.0 Flash-Lite is limited to 8,192 tokens.

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 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 2.0 Flash-Lite

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Jamba 1.5 Mini was released on 2024-08-22.

Gemini 2.0 Flash-Lite is 6 months newer than Jamba 1.5 Mini.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.6 years ago

5mo newer
Jamba 1.5 Mini

Aug 22, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemini 2.0 Flash-Lite has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).

Gemini 2.0 Flash-Lite

Jun 2024

3 mo newer
Jamba 1.5 Mini

Mar 2024

Provider Availability

Gemini 2.0 Flash-Lite is available from Google. Jamba 1.5 Mini is available from Bedrock, Google.

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Jamba 1.5 Mini
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Jamba 1.5 Mini.

Which is better, Gemini 2.0 Flash-Lite or Jamba 1.5 Mini?

Gemini 2.0 Flash-Lite leads the LLM Stats Score 12.4 to -5.7. Gemini 2.0 Flash-Lite is made by Google and Jamba 1.5 Mini is made by AI21 Labs. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash-Lite compare to Jamba 1.5 Mini in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is Gemini 2.0 Flash-Lite cheaper than Jamba 1.5 Mini?

Gemini 2.0 Flash-Lite is 2.9x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/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 2.0 Flash-Lite and Jamba 1.5 Mini?

Gemini 2.0 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 2.0 Flash-Lite and Jamba 1.5 Mini?

Key differences include LLM Stats Score (12.4 vs -5.7), context window (1.0M vs 256K), input pricing ($0.07 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 2.0 Flash-Lite and Jamba 1.5 Mini?

Gemini 2.0 Flash-Lite is developed by Google and Jamba 1.5 Mini is developed by AI21 Labs.

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