Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek'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.

DeepSeek-V3

DeepSeek

2024-12-25

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

6 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

Qwen3-235B-A22B-Instruct-2507

Max Context:-

Parameters:235.0B

Average performance across 7 common benchmarks

DeepSeek-V3

Average Score:64.2%

Qwen3-235B-A22B-Instruct-2507

+12.7%

Average Score:76.9%

Performance comparison across key benchmark categories

DeepSeek-V3

math

+40.0%

90.2%

general

65.1%

code

+2.9%

73.2%

Qwen3-235B-A22B-Instruct-2507

math

50.2%

general

+8.6%

73.7%

code

70.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

Qwen3-235B-A22B-Instruct-2507

0 providers

DeepSeek-V3

Avg Score:64.2%

Providers:1

Qwen3-235B-A22B-Instruct-2507

+12.7%

Avg Score:76.9%

Providers:0