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o4 Mini Deep Research vs Qwen3 VL 235B A22B Instruct

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 VL 235B A22B Instruct.

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.

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Alibaba

Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...

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Technical Specifications

Specificationo4 Mini Deep ResearchQwen3 VL 235B A22B Instruct
ProviderOpenAIAlibaba
Context Window200,000 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-102025-09-23

API Pricing Comparison

Input Price per Million Tokens

o4 Mini Deep Research

$2.00

Qwen3 VL 235B A22B Instruct

$0.20

Output Price per Million Tokens

o4 Mini Deep Research

$8.00

Qwen3 VL 235B A22B Instruct

$0.88

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 VL 235B A22B Instruct Quirks & Gotchas

No developer gotchas reported.