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Gemini 1.5 Flash vs QvQ-72B-Preview

Gemini 1.5 Flash and QvQ-72B-Preview are closely matched at 6.2 and 8.1 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 1.5 Flash and QvQ-72B-Preview are closely matched on the overall LLM Stats Score at 6.2 and 8.1.

In the 2 individual benchmarks reported for both models, QvQ-72B-Preview wins 2; 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 1.5 Flash

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose QvQ-72B-Preview

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
6.2
#277
8.1
#266
5.8
#276
8.4
#260
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 1.5 Flash
QvQ-72B-Preview
10.9#239
9.8#243
6.0#143
6.9#137
9.5#113
10.1#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 4 for QvQ-72B-Preview

2 shared

Gemini 1.5 Flash outperforms in 0 benchmarks, while QvQ-72B-Preview is better at 2 benchmarks (MathVista, MMMU).

QvQ-72B-Preview significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Tue Sep 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Flash and QvQ-72B-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Flash

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash is licensed under a proprietary license, while QvQ-72B-Preview uses Qwen.

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

Gemini 1.5 Flash

Proprietary

Closed source

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while QvQ-72B-Preview was released on 2024-12-25.

QvQ-72B-Preview is 8 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.3 years ago

QvQ-72B-Preview

Dec 25, 2024

1.7 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Gemini 1.5 Flash

Nov 2023

QvQ-72B-Preview

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

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

Gemini 1.5 Flash
✓ Preferred
QvQ-72B-Preview
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs QvQ-72B-Preview.

Which is better, Gemini 1.5 Flash or QvQ-72B-Preview?

Gemini 1.5 Flash and QvQ-72B-Preview are closely matched on the LLM Stats Score at 6.2 and 8.1. Gemini 1.5 Flash is made by Google 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 Gemini 1.5 Flash compare to QvQ-72B-Preview in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.

What are the context window sizes for Gemini 1.5 Flash and QvQ-72B-Preview?

Gemini 1.5 Flash 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 Gemini 1.5 Flash and QvQ-72B-Preview?

Key differences include LLM Stats Score (6.2 vs 8.1), licensing (Proprietary vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and QvQ-72B-Preview?

Gemini 1.5 Flash is developed by Google and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.