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Model Services/Gemini 3.7 Flash vs Qwen2.5 14B Instruct
Google AI
Qwen

Gemini 3.7 Flash vs Qwen2.5 14B Instruct

2026 Stored listed rates & illustrative token-cost comparison

Gemini 3.7 Flash

Legacy / Superseded

Legacy / superseded version. Newer models are available; official or partner channels may still serve this version.

Replacement reference: gemini-3.8-flash

Qwen2.5 14B Instruct

Legacy / Superseded

Legacy / superseded version. Newer models are available; official or partner channels may still serve this version.

Replacement reference: qwen-qwen3.6-27b
Illustrative Listed-Rate Difference
Qwen2.5 14B Instruct about 58% 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 14B Instruct lists approximately 58% lower than Gemini 3.7 Flash. For high-throughput production workloads, Qwen2.5 14B 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 3.7 Flash listed rate totals ~$15.00, while Qwen2.5 14B Instruct totals ~$6.30. Switching to Qwen2.5 14B Instruct yields ~$8.70/mo in raw token savings.

Model Your Workload →
Metric
Gemini 3.7 Flash (Google AI)
Qwen2.5 14B Instruct (Qwen)
Input listed rate
$0.75 / 1M Tokens
$0.35 / 1M Tokens
Output listed rate
$3.75 / 1M Tokens
$1.40 / 1M Tokens
Cached Input rate
$0.08 / 1M Tokens
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Context Window
1049K Tokens
131K Tokens
Modality
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