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Kimi K2.5 vs Qwen-Plus

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 Qwen-Plus.

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...

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Alibaba

Qwen-Plus

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

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Technical Specifications

SpecificationKimi K2.5Qwen-Plus
ProviderMoonshot AIAlibaba
Context Window262,144 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-01-272025-02-01

API Pricing Comparison

Input Price per Million Tokens

Kimi K2.5

$0.38

Qwen-Plus

$0.26

Output Price per Million Tokens

Kimi K2.5

$2.02

Qwen-Plus

$0.78

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%vs8100.0%
Kimi K2.5
Qwen-Plus
HumanEvalPython coding & logic synthesis
8300.0%vs8250.0%
Kimi K2.5
Qwen-Plus
MATHComplex mathematical problem solving
5900.0%vs5500.0%
Kimi K2.5
Qwen-Plus
GPQAGraduate-level expert reasoning
4100.0%vs3700.0%
Kimi K2.5
Qwen-Plus
HellaSwagCommonsense reasoning and inference
8400.0%vs8300.0%
Kimi K2.5
Qwen-Plus
MT-BenchMulti-turn conversation flow quality
880.0%vs865.0%
Kimi K2.5
Qwen-Plus

Kimi K2.5 Quirks & Gotchas

No developer gotchas reported.

Qwen-Plus Quirks & Gotchas

No developer gotchas reported.