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GPT-3.5 Turbo 16k vs Qwen3 VL 8B Thinking

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-3.5 Turbo 16k and Qwen3 VL 8B Thinking.

OpenAI

GPT-3.5 Turbo 16k

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...

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Alibaba

Qwen3 VL 8B Thinking

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...

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Technical Specifications

SpecificationGPT-3.5 Turbo 16kQwen3 VL 8B Thinking
ProviderOpenAIAlibaba
Context Window16,385 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2023-08-282025-10-14

API Pricing Comparison

Input Price per Million Tokens

GPT-3.5 Turbo 16k

$3.00

Qwen3 VL 8B Thinking

$0.12

Output Price per Million Tokens

GPT-3.5 Turbo 16k

$4.00

Qwen3 VL 8B Thinking

$1.36

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-3.5 Turbo 16k Quirks & Gotchas

No developer gotchas reported.

Qwen3 VL 8B Thinking Quirks & Gotchas

No developer gotchas reported.