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Gemini 1.5 Flash vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.5 to 6.1.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.5 to 6.1, ranking #224 overall.

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 Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.5 and ranks #224 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Flash
Google
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
6.1
#282
14.5
#224
Reasoning
5.8
#280
11.9
#238
Cost, coverage & limits
Benchmark wins
—
—
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

2 shared
Index
Gemini 1.5 Flash
Qwen2-VL-72B-Instruct
Vision
5.9#147
11.2#112
Multimodal
9.5#117
12.2#104
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Gemini 1.5 Flash · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Gemini 1.5 Flash and Qwen2-VL-72B-Instructdon'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

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
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Flash and Qwen2-VL-72B-Instruct 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

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash is licensed under a proprietary 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.

Gemini 1.5 Flash

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 4 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.4 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a knowledge cutoff of 2023-11-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 1.5 Flash has more recent training data (up to 2023-11-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Gemini 1.5 Flash

Nov 2023

5 mo newer
Qwen2-VL-72B-Instruct

Jun 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Flash and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash vs Qwen2-VL-72B-Instruct.

Which is better, Gemini 1.5 Flash or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.5 to 6.1. Gemini 1.5 Flash is made by Google and Qwen2-VL-72B-Instruct 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 Qwen2-VL-72B-Instruct in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. 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 Gemini 1.5 Flash and Qwen2-VL-72B-Instruct?

Gemini 1.5 Flash supports 1.0M 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 Gemini 1.5 Flash and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (6.1 vs 14.5), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash and Qwen2-VL-72B-Instruct?

Gemini 1.5 Flash is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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