o
DeepSeek V3.2 vs Gemini 3.7 Flash
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Legacy / Superseded
Legacy / superseded version.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-flashIllustrative Listed-Rate Difference
DeepSeek V3.2 about 77% lower
1M input + 200K output tokens; not a monthly bill
📌 Executive Summary (TL;DR):Under a standard baseline of 1M input + 200K output tokens, DeepSeek V3.2 lists approximately 77% lower than Gemini 3.7 Flash. For high-throughput production workloads, DeepSeek V3.2 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): DeepSeek V3.2 listed rate totals ~$3.43, while Gemini 3.7 Flash totals ~$15.00. Switching to DeepSeek V3.2 yields ~$11.57/mo in raw token savings.
Metric
DeepSeek V3.2 (openrouter)
Gemini 3.7 Flash (Google AI)
Input listed rate
$0.26 / 1M Tokens
$0.75 / 1M Tokens
Output listed rate
$0.42 / 1M Tokens
$3.75 / 1M Tokens
Cached Input rate
$0.14 / 1M Tokens
$0.08 / 1M Tokens
Context Window
164K Tokens
1049K Tokens
Modality
llm
llm
🏆Related AI Scenario Leaderboards
Compare model standings across production scenarios weighted by editorial picks, public adoption, and verified price signals.
Want to map listed prices to your usage?
Enter token volume in the free estimator for a directional cost comparison. Validate quality, latency, and provider terms before migrating.