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Model Services/Gemini 3.7 Flash vs Qwen2.5 Coder 32B Instruct
Google AI
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Gemini 3.7 Flash vs Qwen2.5 Coder 32B 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Legacy / Superseded

Legacy / superseded version.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
Illustrative Listed-Rate Difference
Qwen2.5 Coder 32B Instruct about 43% lower
1M input + 200K output tokens; not a monthly bill
πŸ“Œ Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, Qwen2.5 Coder 32B Instruct lists approximately 43% lower than Gemini 3.7 Flash. For high-throughput production workloads, Qwen2.5 Coder 32B Instruct delivers superior unit economics; model your specific monthly workload below before migrating.(Price records last updated 2026-10-11 (UTC))
πŸ’‘ 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 Coder 32B Instruct totals ~$8.60. Switching to Qwen2.5 Coder 32B Instruct yields ~$6.40/mo in raw token savings.

Model Your Workload β†’
Metric
Gemini 3.7 Flash (Google AI)
Qwen2.5 Coder 32B Instruct (openrouter)
Input listed rate
$0.75 / 1M Tokens
$0.66 / 1M Tokens
Output listed rate
$3.75 / 1M Tokens
$1.00 / 1M Tokens
Cached Input rate
$0.08 / 1M Tokens
β€”
Context Window
1049K Tokens
33K Tokens
Modality
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πŸ†Related AI Scenario Leaderboards

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Gemini 3.7 Flash vs Qwen2.5 Coder 32B Instruct: API Pricing, Token Cost & Context Comparison