Model Comparison

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

Moonshot AI

Kimi-k1.5

Moonshot AI

Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. 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's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

Moonshot AI

Kimi-k1.5

Moonshot AI

2025-01-20

1 month newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi-k1.5

Max Context:-
Alibaba

QwQ-32B-Preview

Larger context
Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

Moonshot AI

Kimi-k1.5

+16.5%
Average Score:86.9%
Alibaba

QwQ-32B-Preview

Average Score:70.3%

Performance comparison across key benchmark categories

Moonshot AI

Kimi-k1.5

math
85.5%
general
+27.8%
85.4%
code
+29.3%
79.3%
Alibaba

QwQ-32B-Preview

math
+5.1%
90.6%
general
57.6%
code
50.0%
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-k1.5

0 providers
Alibaba

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-k1.5

+16.5%
Avg Score:86.9%
Providers:0
Alibaba

QwQ-32B-Preview

Avg Score:70.3%
Providers:4