Model Comparison

Jamba 1.5 Mini vs Qwen2-VL-72B-Instruct

Comparing Jamba 1.5 Mini and Qwen2-VL-72B-Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Jamba 1.5 Mini and Qwen2-VL-72B-Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

21.4B diff

Qwen2-VL-72B-Instruct has 21.4B more parameters than Jamba 1.5 Mini, making it 41.2% larger.

Jamba 1.5 Mini

52.0Bparameters

Qwen2-VL-72B-Instruct

73.4Bparameters

52.0B

Jamba 1.5 Mini

73.4B

Qwen2-VL-72B-Instruct

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).

Jamba 1.5 Mini

Input256,144 tokens

Output256,144 tokens

Qwen2-VL-72B-Instruct

Input- tokens

Output- tokens

Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2-VL-72B-Instruct supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Qwen2-VL-72B-Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text

Images

Audio

Video

Qwen2-VL-72B-Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Qwen2-VL-72B-Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 0 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

1.7 years ago

1w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a knowledge cutoff of 2024-03-05, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Jamba 1.5 Mini has more recent training data (up to 2024-03-05), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Jamba 1.5 Mini

Mar 2024

9 mo newer

Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

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Key Takeaways

Jamba 1.5 Mini

View details

AI21 Labs

Larger context window (256,144 tokens)

Qwen2-VL-72B-Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Mini	Qwen2-VL-72B-Instruct

FAQ

Common questions about Jamba 1.5 Mini vs Qwen2-VL-72B-Instruct.

Which is better, Jamba 1.5 Mini or Qwen2-VL-72B-Instruct?

Jamba 1.5 Mini (AI21 Labs) and Qwen2-VL-72B-Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Jamba 1.5 Mini compare to Qwen2-VL-72B-Instruct in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Qwen2-VL-72B-Instruct scores DocVQAtest: 96.5%, VCR_en_easy: 91.9%, ChartQA: 88.3%, OCRBench: 87.7%, MMBench: 86.5%.

What are the context window sizes for Jamba 1.5 Mini and Qwen2-VL-72B-Instruct?

Jamba 1.5 Mini supports 256K tokens and Qwen2-VL-72B-Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Mini and Qwen2-VL-72B-Instruct?

Key differences include multimodal support (no vs yes), licensing (Jamba Open Model License vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Qwen2-VL-72B-Instruct?

Jamba 1.5 Mini is developed by AI21 Labs and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.