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

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. 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 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

Moonshot AI

Kimi-k1.5

Moonshot AI

2025-01-20

4 months newer

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi-k1.5

Max Context:-
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 1 common benchmarks

Moonshot AI

Kimi-k1.5

+12.3%
Average Score:87.4%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:75.1%

Performance comparison across key benchmark categories

Moonshot AI

Kimi-k1.5

math
+11.4%
85.5%
general
+23.9%
85.4%
code
+21.2%
79.3%
Alibaba

Qwen2.5-Coder 32B Instruct

math
74.2%
general
61.5%
code
58.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi-k1.5

0 providers
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Moonshot AI

Kimi-k1.5

+12.3%
Avg Score:87.4%
Providers:0
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:75.1%
Providers:4