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Gemini 3.1 Flash vs Qwen3 Max 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 Flash and Qwen3 Max Thinking.

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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Alibaba

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

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Technical Specifications

SpecificationGemini 3.1 FlashQwen3 Max Thinking
ProviderGoogleAlibaba
Context Window1,000,000 tokens262,144 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202026-02-09

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

Qwen3 Max Thinking

$0.78

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

Qwen3 Max Thinking

$3.90

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
8680.0%vs9200.0%
Gemini 3.1 Flash
Qwen3 Max Thinking
HumanEvalPython coding & logic synthesis
8850.0%vs9650.0%
Gemini 3.1 Flash
Qwen3 Max Thinking
MATHComplex mathematical problem solving
7820.0%vs9120.0%
Gemini 3.1 Flash
Qwen3 Max Thinking
GPQAGraduate-level expert reasoning
6050.0%vs6200.0%
Gemini 3.1 Flash
Qwen3 Max Thinking
HellaSwagCommonsense reasoning and inference
9520.0%vs9120.0%
Gemini 3.1 Flash
Qwen3 Max Thinking
MT-BenchMulti-turn conversation flow quality
900.0%vs945.0%
Gemini 3.1 Flash
Qwen3 Max Thinking

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

Qwen3 Max Thinking Quirks & Gotchas

No developer gotchas reported.