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Qwen3.6 35B A3B vs R1 0528

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 Qwen3.6 35B A3B and R1 0528.

Alibaba

Qwen3.6 35B A3B

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...

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DeepSeek

R1 0528

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

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Technical Specifications

SpecificationQwen3.6 35B A3BR1 0528
ProviderAlibabaDeepSeek
Context Window262,144 tokens163,840 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostableself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-272025-05-28

API Pricing Comparison

Input Price per Million Tokens

Qwen3.6 35B A3B

$0.14

R1 0528

$0.50

Output Price per Million Tokens

Qwen3.6 35B A3B

$1.00

R1 0528

$2.15

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.

Qwen3.6 35B A3B Quirks & Gotchas

No developer gotchas reported.

R1 0528 Quirks & Gotchas

No developer gotchas reported.