โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Kimi K2.5 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 K2.5 and Qwen2.5 Coder 32B Instruct.

Moonshot AI

Kimi K2.5

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...

View Full Specs
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**...

View Full Specs

Technical Specifications

SpecificationKimi K2.5Qwen2.5 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 Date2026-01-272024-11-11

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.5

$0.38

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Kimi K2.5

$2.02

Qwen2.5 Coder 32B Instruct

$1.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
8250.0%vs8120.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
8300.0%vs9150.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct
MATHComplex mathematical problem solving
5900.0%vs6800.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct
GPQAGraduate-level expert reasoning
4100.0%vs4050.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct
HellaSwagCommonsense reasoning and inference
8400.0%vs8400.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct
MT-BenchMulti-turn conversation flow quality
880.0%vs885.0%
Kimi K2.5
Qwen2.5 Coder 32B Instruct

Kimi K2.5 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.