Model Comparison

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

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.

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.

Gemini 1.0 Pro

Google

2024-02-15

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

1 year newer

Performance Metrics

Context window and performance specifications

Gemini 1.0 Pro

Larger context

Max Context:41.0K

Qwen3-235B-A22B-Instruct-2507

Max Context:-

Parameters:235.0B

Average performance across 1 common benchmarks

Gemini 1.0 Pro

Average Score:27.9%

Qwen3-235B-A22B-Instruct-2507

+49.6%

Average Score:77.5%

Performance comparison across key benchmark categories

Gemini 1.0 Pro

general

51.4%

math

39.6%

Qwen3-235B-A22B-Instruct-2507

general

+22.3%

73.7%

math

+10.6%

50.2%

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

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s

Latency: 0.4ms

Qwen3-235B-A22B-Instruct-2507

0 providers

Gemini 1.0 Pro

Avg Score:27.9%

Providers:1

Qwen3-235B-A22B-Instruct-2507

+49.6%

Avg Score:77.5%

Providers:0