Model Comparison

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

Moonshot AI

Kimi K2 Base

Moonshot AI

Kimi K2 Base is a language model developed by Moonshot AI. It achieves strong performance with an average score of 69.2% across 13 benchmarks. It excels particularly in C-Eval (92.5%), GSM8k (92.1%), MMLU-redux-2.0 (90.2%). The model shows particular specialization in math tasks with an average performance of 81.2%. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Moonshot AI

Kimi K2 Base

Moonshot AI

2025-01-01

Alibaba

Qwen3 32B

Alibaba

2025-04-29

3 months newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 Base

Max Context:-
Parameters:1.0T
Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 Base

code
66.4%
general
67.3%
Alibaba

Qwen3 32B

code
+14.1%
80.4%
general
+6.3%
73.6%

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2 Base

0 providers
Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
Moonshot AI

Kimi K2 Base

Avg Score:0.0%
Providers:0
Alibaba

Qwen3 32B

Avg Score:0.0%
Providers:3