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Hunyuan A13B Instruct vs Llama 3.1 8B

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 Llama 3.1 8B.

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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Meta

Llama 3.1 8B

Llama 3.1 8B is Meta's lightweight open-weight model from the Llama 3.1 generation, optimized for efficient deployment on consumer hardware and edge devices. Despite its compact 8-billion-parameter size, it delivers strong performance on instruction following, text summarization, and lightweight coding tasks. Lllama 3.1 8B is the most downloaded model in the Llama family and runs efficiently on laptops, single GPUs, and CPU via quantization โ€” making it the default choice for on-device AI applications and local prototyping.

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Technical Specifications

SpecificationHunyuan A13B InstructLlama 3.1 8B
ProviderTencentMeta
Context Window131,072 tokens131,072 tokens
Agent SuitabilityN/A74/100
Time to First Token (TTFT)N/A80 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-082024-07-23

API Pricing Comparison

Input Price per Million Tokens

Hunyuan A13B Instruct

$0.14

Llama 3.1 8B

$0.04

Output Price per Million Tokens

Hunyuan A13B Instruct

$0.57

Llama 3.1 8B

$0.04

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%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B
HumanEvalPython coding & logic synthesis
7400.0%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B
MATHComplex mathematical problem solving
4100.0%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B
GPQAGraduate-level expert reasoning
3100.0%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B
HellaSwagCommonsense reasoning and inference
8050.0%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B
MT-BenchMulti-turn conversation flow quality
820.0%vsN/A
Hunyuan A13B Instruct
Llama 3.1 8B

Hunyuan A13B Instruct Quirks & Gotchas

No developer gotchas reported.

Llama 3.1 8B Quirks & Gotchas

  • โ–ธPerfect for CPU/edge deployment โ€” runs on Raspberry Pi with quantization
  • โ–ธLimited tool calling vs larger models โ€” best for simple classification and chat