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Gemini 3.1 Pro vs Qwen 2.5 72B

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 Pro and Qwen 2.5 72B.

Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

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Alibaba

Qwen 2.5 72B

Qwen 2.5 72B is Alibaba Cloud's flagship open-weight large language model from the Qwen 2.5 generation, delivering GPT-4-class performance across general reasoning, coding, mathematics, and multilingual tasks with strong Chinese-language superiority. It supports a 131,072-token context window and is available under a permissive Apache 2.0 license for both research and commercial use, making it one of the most popular open-weight alternatives to Llama for bilingual applications.

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Technical Specifications

SpecificationGemini 3.1 ProQwen 2.5 72B
ProviderGoogleAlibaba
Context Window2,000,000 tokens131,072 tokens
Agent Suitability93/10088/100
Time to First Token (TTFT)420 ms280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-09-19

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Qwen 2.5 72B

$0.40

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Qwen 2.5 72B

$0.80

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
9280.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B
HumanEvalPython coding & logic synthesis
9460.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B
MATHComplex mathematical problem solving
8800.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B
GPQAGraduate-level expert reasoning
8130.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B
HellaSwagCommonsense reasoning and inference
9840.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5 72B

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

Qwen 2.5 72B Quirks & Gotchas

  • โ–ธStrong bilingual (ZH/EN) performance โ€” best open model for Chinese-language tasks
  • โ–ธSelf-hostable via vLLM or Ollama with 4-bit quantization