Model Comparison

Gemini 1.0 Pro vs Qwen3 VL 235B A22B ThinkingWhich is better in 2026?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Gemini 1.0 Pro is 1.6x cheaper per token.

Verdict: Gemini 1.0 Pro vs Qwen3 VL 235B A22B Thinking — which is better?

Gemini 1.0 Pro (by Google) and Qwen3 VL 235B A22B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (MMLU). Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

On price, Gemini 1.0 Pro is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 1.0 Pro if…

  • cost matters — it's about 1.6x cheaper per token

Choose Qwen3 VL 235B A22B Thinking if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 1 benchmark (MMLU).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.1x more expensive than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 2.3x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input tokens$0.45
Output tokens$3.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.

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

Gemini 1.0 Pro

Proprietary

Closed source

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 20 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.4 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

10 months ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.

Gemini 1.0 Pro

Feb 2024

Qwen3 VL 235B A22B Thinking

—

Provider Availability

Gemini 1.0 Pro is available from Google. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
Novita
Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive output tokens
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Has open weights
Higher MMLU score (90.6% vs 71.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 1.0 Pro and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Gemini 1.0 Pro
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Gemini 1.0 Pro vs Qwen3 VL 235B A22B Thinking.

Which is better, Gemini 1.0 Pro or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and Qwen3 VL 235B A22B 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 1.0 Pro compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is Gemini 1.0 Pro cheaper than Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking is 1.1x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.

What are the context window sizes for Gemini 1.0 Pro and Qwen3 VL 235B A22B Thinking?

Gemini 1.0 Pro supports 33K tokens and Qwen3 VL 235B A22B 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 1.0 Pro and Qwen3 VL 235B A22B Thinking?

Key differences include context window (33K vs 262K), input pricing ($0.50 vs $0.45/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and Qwen3 VL 235B A22B Thinking?

Gemini 1.0 Pro is developed by Google and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.

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