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Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K 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.

Google

Gemini 1.5 Pro

Google

2024-05-01

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

Input:$2.50
Output:$10.00
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

$9.20 cheaper
Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Max Context:387.1K
Parameters:235.0B

Average performance across 2 common benchmarks

Google

Gemini 1.5 Pro

Average Score:67.5%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+15.3%
Average Score:82.8%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

reasoning
+28.4%
93.3%
general
68.9%
math
+14.8%
74.9%
code
+20.5%
74.5%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

reasoning
64.9%
general
+8.4%
77.4%
math
60.1%
code
53.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

1 providers

Google

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

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Google

Gemini 1.5 Pro

Avg Score:67.5%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+15.3%
Avg Score:82.8%
Providers:1