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Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V3 0324 vs DeepSeek V3.2 vs Qwen3 8B

DeepSeek V3.2 comes out ahead, 64 to 56 and 54 on our weighted score, though Qwen3 8B is 9% cheaper per token.

  1. DeepSeek

    DeepSeek V3 0324

    Released Mar 24, 2025

    54/100
    • ECI135.9
    • Price$0.24 / $0.90
    • Context164K
    Full specs Remove DeepSeek V3 0324
  2. 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

  3. Alibaba (Qwen)

    Qwen3 8B

    Released Apr 28, 2025

    56/100
    • ECI136.2
    • Price$0.18 / $0.70
    • Context131K
    Full specs Remove Qwen3 8B
01 — Verdict

DeepSeek V3.2 is our pick

DeepSeek V3.2 is the better all-round choice, scoring 64/100 against Qwen3 8B (56) and DeepSeek V3 0324 (54). It leads on capability and inputs & features. DeepSeek V3 0324 wins on context window. Qwen3 8B 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 · Qwen3 8B 136.2 · DeepSeek V3 0324 135.9
  • Lowest priceQwen3 8BQwen3 8B $0.31 · DeepSeek V3.2 $0.342 · DeepSeek V3 0324 $0.405 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · Qwen3 8B 131,072 · DeepSeek V3.2 128,000 tokens
  • Widest inputsSame inputsDeepSeek V3 0324: Text · DeepSeek V3.2: Text · Qwen3 8B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek V3 0324DeepSeek V3.2Qwen3 8B
CapabilityCapabilities Index (ECI)50%607361
Price25%687274
Inputs & features15%254535
Context window10%282424
Overall100%54/10064/10056/100
02 — Side by side

Every spec in one table

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

DeepSeek V3 0324 vs DeepSeek V3.2 vs Qwen3 8B specifications side by side
SpecificationDeepSeek V3 0324DeepSeekDeepSeek V3.2DeepSeekQwen3 8BAlibaba (Qwen)
Capability
Capabilities Index (ECI)135.9146.3 (best)136.2
ECI rank#114 of 148#69 of 148 (best)#113 of 148
GPQA DiamondGraduate-level science questions67.6%83.4% (best)56.8%
OTIS Mock AIME 2024–2025Competition mathematics37.8%87.8% (best)56.1%
Price per million tokens
Input$0.24$0.296$0.18 (best)
Output$0.90$0.48 (best)$0.70
Cached input———
Blended (3:1)$0.405$0.342$0.31 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 5 providersMedian of 15 providersOfficial Alibaba API
Limits
Context window163,840 tokens (best)128,000 tokens131,072 tokens
Max output163,840 tokens (best)64,000 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsOpenOpenMIT LicenseOpen
API model ID——qwen3-8b
API providers515 (best)1
ReleasedMar 24, 2025Dec 1, 2025Apr 28, 2025
Knowledge cutoff—Jul 2024Apr 2025
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 0324$4.20
  • DeepSeek V3.2$3.92
  • Qwen3 8B$3.20
04 — Questions

Which should you choose?

Which is better: DeepSeek V3 0324, DeepSeek V3.2 or Qwen3 8B?

DeepSeek V3.2 is the better all-round choice, scoring 64/100 against Qwen3 8B (56) and DeepSeek V3 0324 (54). It leads on capability and inputs & features. DeepSeek V3 0324 wins on context window. Qwen3 8B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek V3 0324, DeepSeek V3.2 or Qwen3 8B?

Qwen3 8B is cheaper at $0.18 input / $0.70 output per million tokens (official Alibaba API price). DeepSeek V3.2 costs $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 $0.31 per million tokens for Qwen3 8B versus $0.342 for DeepSeek V3.2 (1.1× as much) and $0.405 for DeepSeek V3 0324 (1.3× 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), Qwen3 8B 136.2 (#113 of 148) and DeepSeek V3 0324 135.9 (#114 of 148). Their confidence ranges do not overlap (144.4–147.5 vs 129.7–138.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V3.2 83.4%, DeepSeek V3 0324 67.6%, Qwen3 8B 56.8%; OTIS Mock AIME 2024–2025 — DeepSeek V3.2 87.8%, Qwen3 8B 56.1%, DeepSeek V3 0324 37.8%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V3 0324, DeepSeek V3.2 and Qwen3 8B 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. All three 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 131,072 for Qwen3 8B and 128,000 for DeepSeek V3.2. Maximum output per response: DeepSeek V3 0324 up to 163,840, DeepSeek V3.2 up to 64,000, Qwen3 8B up to 8,192 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V3 0324 accepts text; DeepSeek V3.2 accepts text; Qwen3 8B accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

DeepSeek V3.2 is the newest, released Dec 1, 2025. Qwen3 8B came out Apr 28, 2025; DeepSeek V3 0324 came out Mar 24, 2025. Knowledge cutoff: DeepSeek V3.2 Jul 2024, Qwen3 8B Apr 2025.

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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