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Gemini 1.5 Flash 8B vs Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to -0.8.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2-VL-72B-Instruct leads the overall LLM Stats Score 14.3 to -0.8, ranking #236 overall.

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

Choose Gemini 1.5 Flash 8B

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Qwen2-VL-72B-Instruct

  • overall performance matters — it scores 14.3 and ranks #236 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 8B
Google
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
-0.8
#330
14.3
#236
Reasoning
-0.4
#321
11.6
#251
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.07 / M
— / M
Output price
$0.30 / 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 8B
Qwen2-VL-72B-Instruct
Vision
-2.5#190
10.5#119
Multimodal
0.2#152
11.6#109
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 1.5 Flash 8B · 15 for Qwen2-VL-72B-Instruct

No common benchmarks found

Gemini 1.5 Flash 8B 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

Model Size

Parameter count comparison

65.4B diff

Qwen2-VL-72B-Instruct has 65.4B more parameters than Gemini 1.5 Flash 8B, making it 817.5% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
73.4Bparameters
8.0B
Gemini 1.5 Flash 8B
73.4B
Qwen2-VL-72B-Instruct

Context Window

Maximum input and output token capacity

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

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Flash 8B 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 8B

Text
Images
Audio
Video

Qwen2-VL-72B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 8B

Proprietary

Closed source

Qwen2-VL-72B-Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Qwen2-VL-72B-Instruct was released on 2024-08-29.

Qwen2-VL-72B-Instruct is 6 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.5 years ago

Qwen2-VL-72B-Instruct

Aug 29, 2024

2.0 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Qwen2-VL-72B-Instruct has a cutoff of 2023-06-30.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Qwen2-VL-72B-Instruct (2023-06-30).

Gemini 1.5 Flash 8B

Oct 2024

1.3 yr 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 8B and Qwen2-VL-72B-Instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Flash 8B
✓ Preferred
Qwen2-VL-72B-Instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Flash 8B vs Qwen2-VL-72B-Instruct.

Which is better, Gemini 1.5 Flash 8B or Qwen2-VL-72B-Instruct?

Qwen2-VL-72B-Instruct leads the LLM Stats Score 14.3 to -0.8. Gemini 1.5 Flash 8B 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 8B compare to Qwen2-VL-72B-Instruct in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. 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 8B and Qwen2-VL-72B-Instruct?

Gemini 1.5 Flash 8B 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 8B and Qwen2-VL-72B-Instruct?

Key differences include LLM Stats Score (-0.8 vs 14.3), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and Qwen2-VL-72B-Instruct?

Gemini 1.5 Flash 8B is developed by Google and Qwen2-VL-72B-Instruct is developed by Alibaba Cloud / Qwen Team.

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