Model Comparison

Gemini Diffusion vs Jamba 1.5 Large

Gemini Diffusion significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini Diffusion outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.

Gemini Diffusion significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

Google
Gemini Diffusion
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Gemini Diffusion 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.

Gemini Diffusion

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while Jamba 1.5 Large was released on 2024-08-22.

Gemini Diffusion is 9 months newer than Jamba 1.5 Large.

Gemini Diffusion

May 20, 2025

11 months ago

9mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Gemini Diffusion's cutoff date is not specified.

We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

Gemini Diffusion

—

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

Google
Higher GPQA score (40.4% vs 36.9%)
AI21 Labs
Larger context window (256,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini Diffusion
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Gemini Diffusion vs Jamba 1.5 Large.

Which is better, Gemini Diffusion or Jamba 1.5 Large?

Gemini Diffusion significantly outperforms across most benchmarks. Gemini Diffusion is made by Google and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini Diffusion compare to Jamba 1.5 Large in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for Gemini Diffusion and Jamba 1.5 Large?

Gemini Diffusion supports an unknown number of tokens and Jamba 1.5 Large 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 Diffusion and Jamba 1.5 Large?

Key differences include licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and Jamba 1.5 Large?

Gemini Diffusion is developed by Google and Jamba 1.5 Large is developed by AI21 Labs.