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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Google

Gemini 1.5 Pro

Google

2024-05-01

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

1 year newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Alibaba

Qwen3-235B-A22B-Instruct-2507

Max Context:-
Parameters:235.0B

Average performance across 2 common benchmarks

Google

Gemini 1.5 Pro

Average Score:67.5%
Alibaba

Qwen3-235B-A22B-Instruct-2507

+12.8%
Average Score:80.3%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

reasoning
+24.9%
93.3%
math
+24.7%
74.9%
code
+4.2%
74.5%
general
68.9%
Alibaba

Qwen3-235B-A22B-Instruct-2507

reasoning
68.4%
math
50.2%
code
70.3%
general
+4.7%
73.7%
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

Qwen3-235B-A22B-Instruct-2507

0 providers
Google

Gemini 1.5 Pro

Avg Score:67.5%
Providers:1
Alibaba

Qwen3-235B-A22B-Instruct-2507

+12.8%
Avg Score:80.3%
Providers:0