Model Comparison

Jamba 1.5 Large vs QvQ-72B-PreviewWhich is better in 2026?

Comparing Jamba 1.5 Large and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Verdict: Jamba 1.5 Large vs QvQ-72B-Preview — which is better?

Jamba 1.5 Large (by AI21 Labs) and QvQ-72B-Preview (by Alibaba Cloud / Qwen Team) 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.

Choose Jamba 1.5 Large if…

  • you want predictable pricing at $2.00/M input and $8.00/M output

Choose QvQ-72B-Preview if…

  • you want the most recent training data — it shipped Dec 2024

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Jamba 1.5 Large and QvQ-72B-Previewdon'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

324.6B diff

Jamba 1.5 Large has 324.6B more parameters than QvQ-72B-Preview, making it 442.2% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
398.0B
Jamba 1.5 Large
73.4B
QvQ-72B-Preview

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).

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Jamba 1.5 Large does not.

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

Jamba 1.5 Large

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while QvQ-72B-Preview uses Qwen.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 4 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

QvQ-72B-Preview

Dec 25, 2024

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while QvQ-72B-Preview'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 QvQ-72B-Preview's cutoff date.

Jamba 1.5 Large

Mar 2024

QvQ-72B-Preview

—

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Jamba 1.5 Large and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Jamba 1.5 Large
✓ Preferred
QvQ-72B-Preview
Open in Playground
AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Jamba 1.5 Large vs QvQ-72B-Preview.

Which is better, Jamba 1.5 Large or QvQ-72B-Preview?

Jamba 1.5 Large (AI21 Labs) and QvQ-72B-Preview (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 Large compare to QvQ-72B-Preview in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Jamba 1.5 Large and QvQ-72B-Preview?

Jamba 1.5 Large supports 256K tokens and QvQ-72B-Preview 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 Large and QvQ-72B-Preview?

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

Who makes Jamba 1.5 Large and QvQ-72B-Preview?

Jamba 1.5 Large is developed by AI21 Labs and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.

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