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Gemini 3.1 Pro vs Qwen3 Next 80B A3B Thinking

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 Qwen3 Next 80B A3B Thinking.

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

Qwen3 Next 80B A3B Thinking

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems; math proofs, code synthesis/debugging, logic, and agentic...

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Technical Specifications

SpecificationGemini 3.1 ProQwen3 Next 80B A3B Thinking
ProviderGoogleAlibaba
Context Window2,000,000 tokens262,144 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-09-11

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

Qwen3 Next 80B A3B Thinking

$0.10

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

Qwen3 Next 80B A3B Thinking

$0.78

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
Qwen3 Next 80B A3B Thinking
HumanEvalPython coding & logic synthesis
9460.0%vsN/A
Gemini 3.1 Pro
Qwen3 Next 80B A3B Thinking
MATHComplex mathematical problem solving
8800.0%vsN/A
Gemini 3.1 Pro
Qwen3 Next 80B A3B Thinking
GPQAGraduate-level expert reasoning
8130.0%vsN/A
Gemini 3.1 Pro
Qwen3 Next 80B A3B Thinking
HellaSwagCommonsense reasoning and inference
9840.0%vsN/A
Gemini 3.1 Pro
Qwen3 Next 80B A3B Thinking
MT-BenchMulti-turn conversation flow quality
950.0%vsN/A
Gemini 3.1 Pro
Qwen3 Next 80B A3B Thinking

Gemini 3.1 Pro Quirks & Gotchas

  • Best model for massive context — 2M token window is class-leading
  • Tool calling requires explicit schema definition in Google AI Studio

Qwen3 Next 80B A3B Thinking Quirks & Gotchas

No developer gotchas reported.