🚀 Website under development • Launching soon

Model Comparison

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

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3 235B A22B

Alibaba Cloud / Qwen Team

Qwen3 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. 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.

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

Alibaba Cloud / Qwen Team

Qwen3 235B A22B

Alibaba Cloud / Qwen Team

2025-04-29

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

Input:$0.27
Output:$1.00
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

$1.07 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

Max Context:256.0K
Parameters:235.0B

Average performance across 5 common benchmarks

DeepSeek

DeepSeek-V3.1

Average Score:69.6%
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

+9.1%
Average Score:78.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+5.2%
92.6%
math
41.6%
general
57.3%
reasoning
+30.8%
74.9%
code
56.5%
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

factuality
87.4%
math
+41.2%
82.8%
general
+19.2%
76.5%
reasoning
44.1%
code
+17.5%
73.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

Alibaba Cloud / Qwen Team

Qwen3 235B A22B

4 providers

Together

Throughput: 23.74 tok/s
Latency: 0.79ms

DeepInfra

Throughput: 21.74 tok/s
Latency: 1.23ms

Fireworks

Throughput: 68.17 tok/s
Latency: 0.78ms

Novita

Throughput: 38.51 tok/s
Latency: 1.02ms
DeepSeek

DeepSeek-V3.1

Avg Score:69.6%
Providers:2
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

+9.1%
Avg Score:78.7%
Providers:4