Model Comparison

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

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K 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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Kimi K2 Instruct

Moonshot AI

2025-01-01

3 months newer

Performance Metrics

Context window and performance specifications

Kimi K2 Instruct

Larger context

Max Context:144.0K

Parameters:1.0T

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Average performance across 5 common benchmarks

Kimi K2 Instruct

+21.5%

Average Score:90.8%

Qwen2.5-Coder 7B Instruct

Average Score:69.3%

Performance comparison across key benchmark categories

Kimi K2 Instruct

reasoning

+18.8%

89.0%

math

+21.3%

86.6%

code

+22.2%

79.5%

general

+9.7%

62.0%

Qwen2.5-Coder 7B Instruct

reasoning

70.2%

math

65.3%

code

57.3%

general

52.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s

Latency: 0.95ms

Qwen2.5-Coder 7B Instruct

0 providers

Kimi K2 Instruct

+21.5%

Avg Score:90.8%

Providers:1

Qwen2.5-Coder 7B Instruct

Avg Score:69.3%

Providers:0