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Gemini 2.0 Flash vs Hunyuan A13B 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 Gemini 2.0 Flash and Hunyuan A13B Instruct.

Google

Gemini 2.0 Flash

Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.

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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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Technical Specifications

SpecificationGemini 2.0 FlashHunyuan A13B Instruct
ProviderGoogleTencent
Context Window1,048,576 tokens131,072 tokens
Agent Suitability80/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-02-052025-07-08

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.0 Flash

$0.10

Hunyuan A13B Instruct

$0.14

Output Price per Million Tokens

Gemini 2.0 Flash

$0.40

Hunyuan A13B Instruct

$0.57

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/Avs7850.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct
HumanEvalPython coding & logic synthesis
N/Avs7400.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct
MATHComplex mathematical problem solving
N/Avs4100.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct
GPQAGraduate-level expert reasoning
N/Avs3100.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct
HellaSwagCommonsense reasoning and inference
N/Avs8050.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct
MT-BenchMulti-turn conversation flow quality
N/Avs820.0%
Gemini 2.0 Flash
Hunyuan A13B Instruct

Gemini 2.0 Flash Quirks & Gotchas

  • โ–ธContext caching via Vertex AI โ€” up to 75% cost reduction for repeated prompts
  • โ–ธLegacy model โ€” migrate to Gemini 3.1 Flash for improved accuracy

Hunyuan A13B Instruct Quirks & Gotchas

No developer gotchas reported.