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Gemini 3.1 Flash vs Hunyuan Pro

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 3.1 Flash and Hunyuan Pro.

Google

Gemini 3.1 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

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Tencent

Hunyuan Pro

Hunyuan Pro (ๆททๅ…ƒ Pro) is Tencent's flagship large language model developed by Tencent AI Lab, designed to power AI features across Tencent's vast ecosystem including WeChat, QQ, and enterprise cloud services. It achieves top-tier performance on Chinese-language benchmarks and strong multilingual capabilities, with native support for text, image, and video understanding. Hunyuan Pro is deployed at massive scale across Tencent's advertising, content recommendation, and customer service systems, processing billions of inference requests daily.

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Technical Specifications

SpecificationGemini 3.1 FlashHunyuan Pro
ProviderGoogleTencent
Context Window1,000,000 tokens256,000 tokens
Agent Suitability86/10085/100
Time to First Token (TTFT)150 ms320 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-11-01

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

Hunyuan Pro

$0.60

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

Hunyuan Pro

$1.20

Want to test both models live?

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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
8680.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro
HumanEvalPython coding & logic synthesis
8850.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro
MATHComplex mathematical problem solving
7820.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro
GPQAGraduate-level expert reasoning
6050.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro
HellaSwagCommonsense reasoning and inference
9520.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Gemini 3.1 Flash
Hunyuan Pro

Gemini 3.1 Flash Quirks & Gotchas

  • โ–ธMost cost-effective Google model โ€” ideal for high-volume pipelines
  • โ–ธContext caching available via Vertex AI for repeated document processing

Hunyuan Pro Quirks & Gotchas

  • โ–ธMassive daily inference volume โ€” battle-tested at WeChat scale
  • โ–ธAPI available through Tencent Cloud โ€” requires Chinese enterprise account