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Gemini 3.1 Pro vs Qwen 2.5-Coder 32B

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-Coder 32B.

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-Coder 32B

Qwen 2.5-Coder 32B is Alibaba's specialized code generation model built on the Qwen 2.5 architecture, fine-tuned on a massive corpus of code repositories, technical documentation, and programming discussions. It achieves competitive results against GPT-4o and Claude Sonnet on coding benchmarks like HumanEval, MBPP, and LiveCodeBench while supporting a broad range of programming languages from Python and JavaScript to Rust and Go. Its 128K context window enables whole-repository analysis and complex multi-file refactoring tasks.

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Technical Specifications

SpecificationGemini 3.1 ProQwen 2.5-Coder 32B
ProviderGoogleAlibaba
Context Window2,000,000 tokens131,072 tokens
Agent Suitability93/10089/100
Time to First Token (TTFT)420 ms260 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-11-12

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Qwen 2.5-Coder 32B

$0.35

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Qwen 2.5-Coder 32B

$0.70

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-Coder 32B
HumanEvalPython coding & logic synthesis
9460.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5-Coder 32B
MATHComplex mathematical problem solving
8800.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5-Coder 32B
GPQAGraduate-level expert reasoning
8130.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5-Coder 32B
HellaSwagCommonsense reasoning and inference
9840.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5-Coder 32B
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
Gemini 3.1 Pro
Qwen 2.5-Coder 32B

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-Coder 32B Quirks & Gotchas

  • โ–ธStrong code generation across 40+ languages โ€” excellent for multi-language repos
  • โ–ธAvailable via Alibaba Cloud API or self-hosted