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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.5 Pro Preview 06-05

Google

Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Alibaba Cloud / Qwen Team

2025-01-10

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro Preview 06-05

Input:$1.25
Output:$10.00
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

$9.60 cheaper
Input:$0.15
Output:$1.50

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Max Context:131.1K
Parameters:80.0B

Average performance across 1 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+9.2%
Average Score:86.4%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Average Score:77.2%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

factuality
70.9%
math
+31.7%
88.0%
general
66.1%
code
+20.8%
72.8%
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

factuality
+21.6%
92.5%
math
56.3%
general
+11.5%
77.6%
code
52.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Pro Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

1 providers

Novita

Google

Gemini 2.5 Pro Preview 06-05

+9.2%
Avg Score:86.4%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Thinking

Avg Score:77.2%
Providers:1