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Gemini 2.0 Flash Thinking vs Jamba 1.5 Mini

Gemini 2.0 Flash Thinking leads the LLM Stats Score 17.0 to -5.5.

Google · AI21 Labs · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 17.0 to -5.5, ranking #207 overall.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • overall performance matters — it scores 17.0 and ranks #207 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 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 Thinking
Google
Jamba 1.5 Mini
AI21 Labs
Core performance indexes
LLM Stats Score
17.0
#207
-5.5
#347
Reasoning
17.2
#199
-5.5
#337
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.40 / M
Context window
—
256,144

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 8 for Jamba 1.5 Mini

1 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Mini is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Jamba 1.5 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking 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 Thinking

Proprietary

Closed source

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Jamba 1.5 Mini was released on 2024-08-22.

Gemini 2.0 Flash Thinking is 5 months newer than Jamba 1.5 Mini.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

5mo newer
Jamba 1.5 Mini

Aug 22, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.

Gemini 2.0 Flash Thinking 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).

Gemini 2.0 Flash Thinking

Aug 2024

5 mo newer
Jamba 1.5 Mini

Mar 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Gemini 2.0 Flash Thinking
✓ Preferred
Jamba 1.5 Mini
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Jamba 1.5 Mini.

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

Gemini 2.0 Flash Thinking leads the LLM Stats Score 17.0 to -5.5. Gemini 2.0 Flash Thinking 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 Thinking compare to Jamba 1.5 Mini in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Jamba 1.5 Mini?

Gemini 2.0 Flash Thinking supports an unknown number of 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 Thinking and Jamba 1.5 Mini?

Key differences include LLM Stats Score (17.0 vs -5.5), 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 Thinking and Jamba 1.5 Mini?

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

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