Gemini 2.0 Flash vs Qwen3-235B-A22B-Instruct-2507 Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Sun Mar 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.5x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 2.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Sun Mar 15 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
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Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Qwen3-235B-A22B-Instruct-2507's 262,144 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Sun Mar 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Gemini 2.0 Flash

Proprietary

Closed source

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 8 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.3 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

7 months ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.

Gemini 2.0 Flash

Aug 2024

Qwen3-235B-A22B-Instruct-2507

Provider Availability

Gemini 2.0 Flash is available from Google. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (77.5% vs 62.1%)
Higher MMLU-Pro score (83.0% vs 76.4%)
GoogleGemini 2.0 Flash
Alibaba Cloud / Qwen TeamQwen3-235B-A22B-Instruct-2507

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507