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Hunyuan A13B Instruct vs Kimi K2.7 Code

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 Hunyuan A13B Instruct and Kimi K2.7 Code.

Tencent

Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

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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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Technical Specifications

SpecificationHunyuan A13B InstructKimi K2.7 Code
ProviderTencentMoonshot AI
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-082026-06-12

API Pricing Comparison

Input Price per Million Tokens

Hunyuan A13B Instruct

$0.14

Kimi K2.7 Code

$0.74

Output Price per Million Tokens

Hunyuan A13B Instruct

$0.57

Kimi K2.7 Code

$3.50

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
7850.0%vs8500.0%
Hunyuan A13B Instruct
Kimi K2.7 Code
HumanEvalPython coding & logic synthesis
7400.0%vs9320.0%
Hunyuan A13B Instruct
Kimi K2.7 Code
MATHComplex mathematical problem solving
4100.0%vs7650.0%
Hunyuan A13B Instruct
Kimi K2.7 Code
GPQAGraduate-level expert reasoning
3100.0%vs4600.0%
Hunyuan A13B Instruct
Kimi K2.7 Code
HellaSwagCommonsense reasoning and inference
8050.0%vs8600.0%
Hunyuan A13B Instruct
Kimi K2.7 Code
MT-BenchMulti-turn conversation flow quality
820.0%vs900.0%
Hunyuan A13B Instruct
Kimi K2.7 Code

Hunyuan A13B Instruct Quirks & Gotchas

No developer gotchas reported.

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.