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Model Services/Qwen2.5 Coder 32B Instruct vs GPT-4o
o
OpenAI

Qwen2.5 Coder 32B 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
Qwen2.5 Coder 32B Instruct about 81% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Qwen2.5 Coder 32B Instruct lists approximately 81% lower than GPT-4o. For high-throughput production workloads, Qwen2.5 Coder 32B 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): Qwen2.5 Coder 32B Instruct listed rate totals ~$8.60, while GPT-4o totals ~$45.00. Switching to Qwen2.5 Coder 32B Instruct yields ~$36.40/mo in raw token savings.

Model Your Workload →
Metric
Qwen2.5 Coder 32B Instruct (openrouter)
GPT-4o (OpenAI)
Input listed rate
$0.66 / 1M Tokens
$2.50 / 1M Tokens
Output listed rate
$1.00 / 1M Tokens
$10.00 / 1M Tokens
Cached Input rate
—
$1.25 / 1M Tokens
Context Window
33K Tokens
128K Tokens
Modality
llm
llm

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