← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

o4 Mini Deep Research 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 o4 Mini Deep Research and Qwen3.5 397B A17B.

OpenAI

o4 Mini Deep Research

o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

View Full Specs
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...

View Full Specs

Technical Specifications

Specificationo4 Mini Deep ResearchQwen3.5 397B A17B
ProviderOpenAIAlibaba
Context Window200,000 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-102026-02-16

API Pricing Comparison

Input Price per Million Tokens

o4 Mini Deep Research

$2.00

Qwen3.5 397B A17B

$0.39

Output Price per Million Tokens

o4 Mini Deep Research

$8.00

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.

o4 Mini Deep Research Quirks & Gotchas

No developer gotchas reported.

Qwen3.5 397B A17B Quirks & Gotchas

No developer gotchas reported.