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Model Comparison

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

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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 1.0 Pro

Google

2024-02-15

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 1.0 Pro

$1.30 cheaper
Input:$0.50
Output:$1.50
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 1 common benchmarks

Google

Gemini 1.0 Pro

Average Score:27.9%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+53.2%
Average Score:81.1%

Performance comparison across key benchmark categories

Google

Gemini 1.0 Pro

general
51.4%
math
39.6%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

general
+26.0%
77.4%
math
+20.5%
60.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Google

Gemini 1.0 Pro

Avg Score:27.9%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+53.2%
Avg Score:81.1%
Providers:1