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GPT-5.6 Luna 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 GPT-5.6 Luna and Qwen3 VL 235B A22B Instruct.

OpenAI

GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

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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

SpecificationGPT-5.6 LunaQwen3 VL 235B A22B Instruct
ProviderOpenAIAlibaba
Context Window1,050,000 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-092025-09-23

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Luna

$1.00

Qwen3 VL 235B A22B Instruct

$0.20

Output Price per Million Tokens

GPT-5.6 Luna

$6.00

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.

GPT-5.6 Luna Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 235B A22B Instruct Quirks & Gotchas

No developer gotchas reported.