API cost decision in 10 seconds

🔥DeepSeek V3.2 vs GPT-5 Nano

Pick GPT-5 Nano when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-5 Nano when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).

Cost-first pickGPT-5 Nano
Context-first pickGPT-5 Nano
Sample savings$0.1943.3%
10x traffic gap$1.91

GPT-5 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.91. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT-5 Nano stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V3.2GPT-5 Nano
Input-heavy / RAG5M input + 500K outputGPT-5 Nano$1.45$0.45
Balanced workload1M input + 1M outputGPT-5 Nano$0.63$0.45
Output-heavy chatbot1M input + 5M outputGPT-5 Nano$2.14$2.05
Cheaper input GPT-5 Nano $0.252 vs $0.05 / 1M

GPT-5 Nano is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).

Cheaper output DeepSeek V3.2 $0.378 vs $0.4 / 1M

DeepSeek V3.2 is $0.02 cheaper per 1M output tokens (5.5% lower; 1.06x difference).

Larger context GPT-5 Nano 131.07K vs 400K

GPT-5 Nano has 268.93K more context (3.05x larger).

Sample workload GPT-5 Nano $0.44 vs $0.25

GPT-5 Nano is $0.19 cheaper on the standard workload (43.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V3.2 Calculating… Estimated API cost
GPT-5 Nano 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

GPT-5 Nano has the lower input price; DeepSeek V3.2 has the lower output price; GPT-5 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-5 Nano 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 $0.25 for GPT-5 Nano.

Best Fit

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

Choose GPT-5 Nano when you care most about lower input-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
  • GPT-5 Nano is $0.19 cheaper on the standard workload (43.3% lower).
  • GPT-5 Nano is $0.2 cheaper per 1M input tokens (80.2% lower; 5.04x difference).
  • DeepSeek V3.2 is $0.02 cheaper per 1M output tokens (5.5% lower; 1.06x difference).
  • GPT-5 Nano has 268.93K more context (3.05x larger).
Head-to-Head Specs
Feature🔥DeepSeek V3.2
(DeepSeek)
GPT-5 Nano
(OpenAI)
Input Price
prompt tokens per 1M
$0.252$0.05
Completion Price
per 1M tokens
$0.378$0.4
Sample Workload Cost
1M input + 500K output
$0.44$0.25
Context Window131.07K400K
Release Date
Popularity#8#68

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT-5 NanoOn the standard 1M input plus 500K output workload, GPT-5 Nano is estimated at $0.25 vs $0.44 for DeepSeek V3.2, saving $0.19 (43.3% lower).
High-volume input processingGPT-5 NanoLower 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 workGPT-5 NanoA larger context window leaves more room for retrieved passages, conversation history, or source files.

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OpenAI catalog

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