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Gemini 3.1 Flash vs Qwen3.5-35B-A3B

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 Qwen3.5-35B-A3B.

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

Qwen3.5-35B-A3B

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

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Technical Specifications

SpecificationGemini 3.1 FlashQwen3.5-35B-A3B
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 Date2026-04-202026-02-25

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

Qwen3.5-35B-A3B

$0.14

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

Qwen3.5-35B-A3B

$1.00

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
Qwen3.5-35B-A3B
HumanEvalPython coding & logic synthesis
8850.0%vsN/A
Gemini 3.1 Flash
Qwen3.5-35B-A3B
MATHComplex mathematical problem solving
7820.0%vsN/A
Gemini 3.1 Flash
Qwen3.5-35B-A3B
GPQAGraduate-level expert reasoning
6050.0%vsN/A
Gemini 3.1 Flash
Qwen3.5-35B-A3B
HellaSwagCommonsense reasoning and inference
9520.0%vsN/A
Gemini 3.1 Flash
Qwen3.5-35B-A3B
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Gemini 3.1 Flash
Qwen3.5-35B-A3B

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

Qwen3.5-35B-A3B Quirks & Gotchas

No developer gotchas reported.