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Gemini 2.0 Flash vs Qwen3.5 397B A17B

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 2.0 Flash and Qwen3.5 397B A17B.

Google

Gemini 2.0 Flash

Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.

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Alibaba

Qwen3.5 397B A17B

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...

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Technical Specifications

SpecificationGemini 2.0 FlashQwen3.5 397B A17B
ProviderGoogleAlibaba
Context Window1,048,576 tokens256,000 tokens
Agent Suitability80/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-02-052026-02-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.0 Flash

$0.10

Qwen3.5 397B A17B

$0.39

Output Price per Million Tokens

Gemini 2.0 Flash

$0.40

Qwen3.5 397B A17B

$2.45

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.

Gemini 2.0 Flash Quirks & Gotchas

  • โ–ธContext caching via Vertex AI โ€” up to 75% cost reduction for repeated prompts
  • โ–ธLegacy model โ€” migrate to Gemini 3.1 Flash for improved accuracy

Qwen3.5 397B A17B Quirks & Gotchas

No developer gotchas reported.