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Beam 1.0 vs QvQ-72B-Preview

Beam 1.0 leads the LLM Stats Score 44.6 to 7.4.

Reflection AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 7.4, ranking #46 overall.

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

Choose Beam 1.0

  • overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose QvQ-72B-Preview

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
44.6
#46
7.4
#308
45.5
#37
7.8
#300
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.40 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Beam 1.0
QvQ-72B-Preview
35.1#45
9.5#266
15.9#105
6.2#167
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 4 for QvQ-72B-Preview

No common benchmarks found

Beam 1.0 and QvQ-72B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

427.9B diff

Beam 1.0 has 427.9B more parameters than QvQ-72B-Preview, making it 583.0% larger.

Reflection AI
Beam 1.0
501.3Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
501.3B
Beam 1.0
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Beam 1.0 specifies input context (1,048,576 tokens). Only Beam 1.0 specifies output context (131,072 tokens).

Reflection AI
Beam 1.0
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

QvQ-72B-Preview supports multimodal inputs, whereas Beam 1.0 does not.

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

Beam 1.0

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while QvQ-72B-Preview uses Qwen.

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

Beam 1.0

Apache 2.0

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while QvQ-72B-Preview was released on 2024-12-25.

Beam 1.0 is 22 months newer than QvQ-72B-Preview.

Beam 1.0

Oct 16, 2026

3 days ago

1.8yr newer
QvQ-72B-Preview

Dec 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Beam 1.0

Jun 2026

QvQ-72B-Preview

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and QvQ-72B-Preview side-by-side, then vote on the output you prefer.

Beam 1.0
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Beam 1.0 vs QvQ-72B-Preview.

Which is better, Beam 1.0 or QvQ-72B-Preview?

Beam 1.0 leads the LLM Stats Score 44.6 to 7.4. Beam 1.0 is made by Reflection AI and QvQ-72B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to QvQ-72B-Preview in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Beam 1.0 and QvQ-72B-Preview?

Beam 1.0 supports 1.0M 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 Beam 1.0 and QvQ-72B-Preview?

Key differences include LLM Stats Score (44.6 vs 7.4), multimodal support (no vs yes), licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and QvQ-72B-Preview?

Beam 1.0 is developed by Reflection AI and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.