Model Comparison

Gemini 2.5 Pro vs Qwen3-Coder

Comparing Gemini 2.5 Pro and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

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

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 55.6x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
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-Coder's 256,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Qwen3-Coder does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

Qwen3-Coder

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while Qwen3-Coder 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-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Qwen3-Coder was released on 2025-01-01.

Gemini 2.5 Pro is 5 months newer than Qwen3-Coder.

Gemini 2.5 Pro

May 20, 2025

11 months ago

4mo newer
Qwen3-Coder

Jan 1, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Qwen3-Coder'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-Coder's cutoff date.

Gemini 2.5 Pro

Jan 2025

Qwen3-Coder

Provider Availability

Gemini 2.5 Pro is available from Google. Qwen3-Coder is available from DeepInfra, Fireworks.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Pro
Alibaba Cloud / Qwen TeamQwen3-Coder

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Gemini 2.5 Pro vs Qwen3-Coder

Gemini 2.5 Pro (Google) and Qwen3-Coder (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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-Coder is 6.9x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
Gemini 2.5 Pro supports 1.0M tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 256K), input pricing ($1.25 vs $0.18/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.