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Hy3 vs Kimi K2.6

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 Hy3 and Kimi K2.6.

Tencent

Hy3

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

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Moonshot AI

Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

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Technical Specifications

SpecificationHy3Kimi K2.6
ProviderTencentMoonshot AI
Context Window262,144 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-07-062026-04-20

API Pricing Comparison

Input Price per Million Tokens

Hy3

$0.20

Kimi K2.6

$0.66

Output Price per Million Tokens

Hy3

$0.80

Kimi K2.6

$3.41

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
N/Avs8420.0%
Hy3
Kimi K2.6
HumanEvalPython coding & logic synthesis
N/Avs8500.0%
Hy3
Kimi K2.6
MATHComplex mathematical problem solving
N/Avs6400.0%
Hy3
Kimi K2.6
GPQAGraduate-level expert reasoning
N/Avs4300.0%
Hy3
Kimi K2.6
HellaSwagCommonsense reasoning and inference
N/Avs8500.0%
Hy3
Kimi K2.6
MT-BenchMulti-turn conversation flow quality
N/Avs890.0%
Hy3
Kimi K2.6

Hy3 Quirks & Gotchas

No developer gotchas reported.

Kimi K2.6 Quirks & Gotchas

No developer gotchas reported.