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Comparison · 2 models · Updated Oct 4, 2026

GPT-5.4 nano vs DeepSeek V3.2

GPT-5.4 nano comes out ahead, 68 to 64 on our weighted score, though DeepSeek V3.2 is 26% cheaper per token.

  1. Our pick

    OpenAI

    GPT-5.4 nano

    Released Mar 17, 2026

    68/100
    • ECI145.8
    • Price$0.20 / $1.25
    • Context400K
    Full specs Remove GPT-5.4 nano

  2. DeepSeek

    DeepSeek V3.2

    Released Dec 1, 2025

    64/100
    • ECI146.3
    • Price$0.296 / $0.48
    • Context128K
    Full specs Remove DeepSeek V3.2

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-5.4 nano is our pick

GPT-5.4 nano is the better all-round choice, scoring 68/100 against DeepSeek V3.2 (64). It leads on inputs & features and context window. DeepSeek V3.2 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V3.2Capabilities Index (ECI): DeepSeek V3.2 146.3 · GPT-5.4 nano 145.8
  • Lowest priceDeepSeek V3.2DeepSeek V3.2 $0.342 · GPT-5.4 nano $0.463 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 nanoGPT-5.4 nano 400,000 · DeepSeek V3.2 128,000 tokens
  • Widest inputsGPT-5.4 nanoGPT-5.4 nano: Text, Images · DeepSeek V3.2: Text
  • Self-hostingDeepSeek V3.2Publishes downloadable weights (MIT License)
How the score is built
MeasureWeightGPT-5.4 nanoDeepSeek V3.2
CapabilityCapabilities Index (ECI)50%7373
Price25%6672
Inputs & features15%7045
Context window10%4424
Overall100%68/10064/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-5.4 nano vs DeepSeek V3.2 specifications side by side
SpecificationGPT-5.4 nanoOpenAIDeepSeek V3.2DeepSeek
Capability
Capabilities Index (ECI)145.8146.3 (best)
ECI rank#75 of 148#69 of 148 (best)
GPQA DiamondGraduate-level science questions78.5%83.4% (best)
FrontierMath Tiers 1–3Research-level mathematics44.9%—
OTIS Mock AIME 2024–2025Competition mathematics87.8%87.8% (best)
SimpleQA VerifiedShort factual questions11.7%—
Price per million tokens
Input$0.20 (best)$0.296
Output$1.25$0.48 (best)
Cached input$0.02—
Blended (3:1)$0.463$0.342 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIMedian of 15 providers
Limits
Context window400,000 tokens (best)128,000 tokens
Max output128,000 tokens (best)64,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhighYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpenMIT License
API model IDgpt-5.4-nano—
API providers26 (best)15
ReleasedMar 17, 2026Dec 1, 2025
Knowledge cutoffAug 31, 2025Jul 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-5.4 nano$4.50
  • DeepSeek V3.2$3.92
04 — Questions

Which should you choose?

Which is better: GPT-5.4 nano or DeepSeek V3.2?

GPT-5.4 nano is the better all-round choice, scoring 68/100 against DeepSeek V3.2 (64). It leads on inputs & features and context window. DeepSeek V3.2 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4 nano or DeepSeek V3.2?

DeepSeek V3.2 is cheaper at $0.296 input / $0.48 output per million tokens (median across 15 API providers). GPT-5.4 nano costs $0.20 input / $1.25 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.342 per million tokens for DeepSeek V3.2 versus $0.463 for GPT-5.4 nano (1.4× as much).

Which scores higher on benchmarks?

DeepSeek V3.2 scores higher on the Capabilities Index (ECI): DeepSeek V3.2 146.3 (#69 of 148) and GPT-5.4 nano 145.8 (#75 of 148). The confidence ranges of the top two overlap (144.4–147.5 vs 143.2–147.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek V3.2 83.4%, GPT-5.4 nano 78.5%; OTIS Mock AIME 2024–2025 — DeepSeek V3.2 87.8%, GPT-5.4 nano 87.8%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 nano and DeepSeek V3.2 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V3.2 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-5.4 nano has the largest context window at 400,000 tokens, against 128,000 for DeepSeek V3.2. Maximum output per response: GPT-5.4 nano up to 128,000, DeepSeek V3.2 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 nano accepts text and images; DeepSeek V3.2 accepts text. GPT-5.4 nano handles the widest range of inputs.

Are any of these open source?

DeepSeek V3.2 publishes its weights (MIT License) and can be self-hosted; GPT-5.4 nano is proprietary.

Which is newer?

GPT-5.4 nano is the newest, released Mar 17, 2026. DeepSeek V3.2 came out Dec 1, 2025. Knowledge cutoff: GPT-5.4 nano Aug 31, 2025, DeepSeek V3.2 Jul 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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