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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek V3.2 vs DeepSeek V3 0324

DeepSeek V3.2 comes out ahead, 64 to 54 on our weighted score, and it is the cheaper option too.

  1. Our pick

    DeepSeek

    DeepSeek V3.2

    Released Dec 1, 2025

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

  2. DeepSeek

    DeepSeek V3 0324

    Released Mar 24, 2025

    54/100
    • ECI135.9
    • Price$0.24 / $0.90
    • Context164K
    Full specs Remove DeepSeek V3 0324

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

DeepSeek V3.2 is our pick

DeepSeek V3.2 is the better all-round choice, scoring 64/100 against DeepSeek V3 0324 (54). It leads on capability, price and inputs & features. DeepSeek V3 0324 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V3.2Capabilities Index (ECI): DeepSeek V3.2 146.3 · DeepSeek V3 0324 135.9
  • Lowest priceDeepSeek V3.2DeepSeek V3.2 $0.342 · DeepSeek V3 0324 $0.405 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · DeepSeek V3.2 128,000 tokens
  • Widest inputsSame inputsDeepSeek V3.2: Text · DeepSeek V3 0324: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek V3.2DeepSeek V3 0324
CapabilityCapabilities Index (ECI)50%7360
Price25%7268
Inputs & features15%4525
Context window10%2428
Overall100%64/10054/100
02 — Side by side

Every spec in one table

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

DeepSeek V3.2 vs DeepSeek V3 0324 specifications side by side
SpecificationDeepSeek V3.2DeepSeekDeepSeek V3 0324DeepSeek
Capability
Capabilities Index (ECI)146.3 (best)135.9
ECI rank#69 of 148 (best)#114 of 148
GPQA DiamondGraduate-level science questions83.4% (best)67.6%
OTIS Mock AIME 2024–2025Competition mathematics87.8% (best)37.8%
Price per million tokens
Input$0.296$0.24 (best)
Output$0.48 (best)$0.90
Cached input——
Blended (3:1)$0.342 (best)$0.405
Long-context rateSame rateSame rate
Price sourceMedian of 15 providersMedian of 5 providers
Limits
Context window128,000 tokens163,840 tokens (best)
Max output64,000 tokens163,840 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenMIT LicenseOpen
API model ID——
API providers15 (best)5
ReleasedDec 1, 2025Mar 24, 2025
Knowledge cutoffJul 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.

  • DeepSeek V3.2$3.92
  • DeepSeek V3 0324$4.20
04 — Questions

Which should you choose?

Which is better: DeepSeek V3.2 or DeepSeek V3 0324?

DeepSeek V3.2 is the better all-round choice, scoring 64/100 against DeepSeek V3 0324 (54). It leads on capability, price and inputs & features. DeepSeek V3 0324 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V3.2 or DeepSeek V3 0324?

DeepSeek V3.2 is cheaper at $0.296 input / $0.48 output per million tokens (median across 15 API providers). DeepSeek V3 0324 costs $0.24 input / $0.90 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.342 per million tokens for DeepSeek V3.2 versus $0.405 for DeepSeek V3 0324 (1.2× 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 DeepSeek V3 0324 135.9 (#114 of 148). Their confidence ranges do not overlap (144.4–147.5 vs 132.4–138.0), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V3.2 83.4%, DeepSeek V3 0324 67.6%; OTIS Mock AIME 2024–2025 — DeepSeek V3.2 87.8%, DeepSeek V3 0324 37.8%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V3.2 and DeepSeek V3 0324 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?

DeepSeek V3 0324 has the largest context window at 163,840 tokens, against 128,000 for DeepSeek V3.2. Maximum output per response: DeepSeek V3.2 up to 64,000, DeepSeek V3 0324 up to 163,840 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V3.2 accepts text; DeepSeek V3 0324 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (MIT License), so you can self-host them.

Which is newer?

DeepSeek V3.2 is the newest, released Dec 1, 2025. DeepSeek V3 0324 came out Mar 24, 2025. Knowledge cutoff: 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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