API cost decision in 10 seconds

🔥DeepSeek V3.2 vs 🔥Gemini 2.5 Flash

Pick DeepSeek V3.2 for lower cost; pick Gemini 2.5 Flash only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick DeepSeek V3.2 for lower cost; pick Gemini 2.5 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $1.55 for Gemini 2.5 Flash, saving $1.11 (71.5% lower).

Cost-first pickDeepSeek V3.2
Context-first pickGemini 2.5 Flash
Sample savings$1.1171.5%
10x traffic gap$11.09

Gemini 2.5 Flash has more context, but DeepSeek V3.2 saves $1.11 on the standard workload. At 10x that traffic, the same price gap is about $11.09. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input DeepSeek V3.2 $0.252 vs $0.3 / 1M

DeepSeek V3.2 is $0.05 cheaper per 1M input tokens (16% lower; 1.19x difference).

Cheaper output DeepSeek V3.2 $0.378 vs $2.5 / 1M

DeepSeek V3.2 is $2.12 cheaper per 1M output tokens (84.9% lower; 6.61x difference).

Larger context Gemini 2.5 Flash 131.07K vs 1.05M

Gemini 2.5 Flash has 917.5K more context (8x larger).

Sample workload DeepSeek V3.2 $0.44 vs $1.55

DeepSeek V3.2 is $1.11 cheaper on the standard workload (71.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
Gemini 2.5 Flash Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

DeepSeek V3.2 has the lower input price; DeepSeek V3.2 has the lower output price; Gemini 2.5 Flash offers the larger context window. For the 1M input plus 500K output sample, DeepSeek V3.2 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.44 for DeepSeek V3.2 and $1.55 for Gemini 2.5 Flash.

Best Fit

Choose DeepSeek V3.2 when you care most about lower input-token price, and lower output-token price.

Choose Gemini 2.5 Flash when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $1.55 for Gemini 2.5 Flash, saving $1.11 (71.5% lower).
  • DeepSeek V3.2 is $1.11 cheaper on the standard workload (71.5% lower).
  • DeepSeek V3.2 is $0.05 cheaper per 1M input tokens (16% lower; 1.19x difference).
  • DeepSeek V3.2 is $2.12 cheaper per 1M output tokens (84.9% lower; 6.61x difference).
  • Gemini 2.5 Flash has 917.5K more context (8x larger).
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
🔥Gemini 2.5 Flash
(Google)
Input Price
prompt tokens per 1M
$0.252$0.3
Completion Price
per 1M tokens
$0.378$2.5
Sample Workload Cost
1M input + 500K output
$0.44$1.55
Context Window131.07K1.05M
Release Date2025-12-012025-06-17
Popularity Rank
current rank
#7#13

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionDeepSeek V3.2On the standard 1M input plus 500K output workload, DeepSeek V3.2 is estimated at $0.44 vs $1.55 for Gemini 2.5 Flash, saving $1.11 (71.5% lower).
High-volume input processingDeepSeek V3.2Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsDeepSeek V3.2Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemini 2.5 FlashA larger context window leaves more room for retrieved passages, conversation history, or source files.

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DeepSeek catalog

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Google catalog

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DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Gemini 2.5 Flash

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...