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Model Comparison

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

Google

Gemini 1.5 Flash

Google

Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). 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 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 Flash

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 Flash

$2.55 cheaper
Input:$0.15
Output:$0.60
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Input:$0.30
Output:$3.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Flash

Larger context
Max Context:1.1M
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 Flash

Average Score:59.2%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+23.6%
Average Score:82.8%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Flash

reasoning
+21.6%
86.5%
general
62.7%
math
+8.8%
68.9%
code
+13.7%
67.7%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

reasoning
64.9%
general
+14.6%
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 Flash

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 Flash

1 providers

Google

Throughput: 150 tok/s
Latency: 0.3ms
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Google

Gemini 1.5 Flash

Avg Score:59.2%
Providers:1
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+23.6%
Avg Score:82.8%
Providers:1