Model Comparison

Gemini 2.5 Pro vs Qwen3 VL 8B Thinking

Gemini 2.5 Pro significantly outperforms across most benchmarks. Qwen3 VL 8B Thinking is 5.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.5 Pro outperforms in 4 benchmarks (AIME 2025, GPQA, SimpleQA, Video-MME), while Qwen3 VL 8B Thinking is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Sat May 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Thinking costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 6.9x more expensive than Qwen3 VL 8B Thinking ($0.18/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 4.8x more expensive than Qwen3 VL 8B Thinking ($2.09/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than Qwen3 VL 8B Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat May 23 2026 • llm-stats.com

Gemini 2.5 Pro

Input tokens$1.25

Output tokens$10.00

Best providerGoogle

Qwen3 VL 8B Thinking

Input tokens$0.18

Output tokens$2.09

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to Qwen3 VL 8B Thinking's 262,144 tokens. Qwen3 VL 8B Thinking can generate longer responses up to 262,144 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.

Gemini 2.5 Pro

Input1,048,576 tokens

Output65,536 tokens

Qwen3 VL 8B Thinking

Input262,144 tokens

Output262,144 tokens

Sat May 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and Qwen3 VL 8B Thinking support multimodal inputs.

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

Gemini 2.5 Pro

Text

Images

Audio

Video

Qwen3 VL 8B Thinking

Text

Images

Audio

Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Qwen3 VL 8B Thinking uses Apache 2.0.

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

Gemini 2.5 Pro

Proprietary

Closed source

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 4 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

1.0 years ago

Qwen3 VL 8B Thinking

Sep 22, 2025

8 months ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen3 VL 8B Thinking

—

Provider Availability

Gemini 2.5 Pro is available from Google. Qwen3 VL 8B Thinking is available from DeepInfra.

Gemini 2.5 Pro

Google

Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3 VL 8B Thinking

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $2.09/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Gemini 2.5 Pro

View details

Google

Larger context window (1,048,576 tokens)

Higher AIME 2025 score (83.0% vs 80.3%)

Higher GPQA score (83.0% vs 69.9%)

Higher SimpleQA score (50.8% vs 49.6%)

Higher Video-MME score (84.8% vs 71.8%)

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Gemini 2.5 Pro

Qwen3 VL 8B Thinking

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	Gemini 2.5 Pro	Qwen3 VL 8B Thinking

FAQ

Common questions about Gemini 2.5 Pro vs Qwen3 VL 8B Thinking.

Which is better, Gemini 2.5 Pro or Qwen3 VL 8B Thinking?

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro is made by Google and Qwen3 VL 8B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Pro compare to Qwen3 VL 8B Thinking in benchmarks?

Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

Is Gemini 2.5 Pro cheaper than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is 6.9x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. Qwen3 VL 8B Thinking costs $0.18/M input and $2.09/M output via deepinfra.

What are the context window sizes for Gemini 2.5 Pro and Qwen3 VL 8B Thinking?

Gemini 2.5 Pro supports 1.0M tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Pro and Qwen3 VL 8B Thinking?

Key differences include context window (1.0M vs 262K), input pricing ($1.25 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Pro and Qwen3 VL 8B Thinking?

Gemini 2.5 Pro is developed by Google and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.