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Model Comparison

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

Moonshot AI

Kimi K2 0905

Moonshot AI

Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

2024-11-28

Moonshot AI

Kimi K2 0905

Moonshot AI

2025-09-05

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Moonshot AI

Kimi K2 0905

Input:$0.60
Output:$2.50
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

$2.75 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 0905

Larger context
Max Context:524.3K
Parameters:1.0T
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

Moonshot AI

Kimi K2 0905

+16.3%
Average Score:73.9%
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Average Score:57.6%

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 0905

code
+44.5%
94.5%
math
89.1%
general
+22.5%
80.1%
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

code
50.0%
math
+1.5%
90.6%
general
57.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2 0905

1 providers

Novita

Alibaba Cloud / Qwen Team

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
Moonshot AI

Kimi K2 0905

+16.3%
Avg Score:73.9%
Providers:1
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

Avg Score:57.6%
Providers:4