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Model Services/Gemini 2.5 Pro vs Qwen3 VL 235B A22B Instruct
Google AI
Qwen

Gemini 2.5 Pro vs Qwen3 VL 235B A22B Instruct

2026 Stored listed rates & illustrative token-cost comparison

Illustrative Listed-Rate Difference
Qwen3 VL 235B A22B Instruct about 82% 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 82% lower than Gemini 2.5 Pro. For high-throughput production workloads, Qwen3 VL 235B A22B Instruct delivers superior unit economics; model your specific monthly workload below before migrating.(Price records last updated 2026-10-11 (UTC))
💡 10M Monthly Token Workload Simulation

Simulating a production workload (10M input + 2M output tokens): Gemini 2.5 Pro listed rate totals ~$32.50, while Qwen3 VL 235B A22B Instruct totals ~$5.90. Switching to Qwen3 VL 235B A22B Instruct yields ~$26.60/mo in raw token savings.

Model Your Workload →
Metric
Gemini 2.5 Pro (Google AI)
Qwen3 VL 235B A22B Instruct (Qwen)
Input listed rate
$1.25 / 1M Tokens
$0.21 / 1M Tokens
Output listed rate
$10.00 / 1M Tokens
$1.90 / 1M Tokens
Cached Input rate
$0.13 / 1M Tokens
$0.10 / 1M Tokens
Context Window
1049K Tokens
262K Tokens
Modality
llm
llm

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