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Kimi K2.7 Code vs Qwen2.5 Coder 32B Instruct

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2.7 Code and Qwen2.5 Coder 32B Instruct.

Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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Alibaba

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

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Technical Specifications

SpecificationKimi K2.7 CodeQwen2.5 Coder 32B Instruct
ProviderMoonshot AIAlibaba
Context Window262,144 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-122024-11-11

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.7 Code

$0.74

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Kimi K2.7 Code

$3.50

Qwen2.5 Coder 32B Instruct

$1.00

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8500.0%vs8120.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
9320.0%vs9150.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
7650.0%vs6800.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
4600.0%vs4050.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
8600.0%vs8400.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
900.0%vs885.0%
Kimi K2.7 Code
Qwen2.5 Coder 32B Instruct

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.