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Model Services/Qwen3 VL 235B A22B Instruct vs GPT-4o
AWS Bedrock
OpenAI

Qwen3 VL 235B A22B Instruct vs GPT-4o

2026 Stored listed rates & illustrative token-cost comparison

GPT-4o

Deprecated

Deprecated endpoints may still be callable. Migrate before retirement.

Illustrative Listed-Rate Difference
Qwen3 VL 235B A22B Instruct about 76% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Qwen3 VL 235B A22B Instruct lists approximately 76% lower than GPT-4o. For high-throughput production workloads, Qwen3 VL 235B A22B Instruct delivers superior unit economics; model your specific monthly workload below before migrating.
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): Qwen3 VL 235B A22B Instruct listed rate totals ~$10.62, while GPT-4o totals ~$45.00. Switching to Qwen3 VL 235B A22B Instruct yields ~$34.38/mo in raw token savings.

Model Your Workload →
Metric
Qwen3 VL 235B A22B Instruct (AWS Bedrock)
GPT-4o (OpenAI)
Input listed rate
$0.53 / 1M Tokens
$2.50 / 1M Tokens
Output listed rate
$2.66 / 1M Tokens
$10.00 / 1M Tokens
Cached Input rate
—
$1.25 / 1M Tokens
Context Window
262K Tokens
128K Tokens
Modality
llm
llm

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