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Comparison · 3 models · Updated Oct 4, 2026

Qwen3 14B vs DeepSeek V3 0324 vs DeepSeek-V3.1

Too close to call on our weighted score (DeepSeek-V3.1 55, Qwen3 14B 54, DeepSeek V3 0324 54). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3 14B

    Released Apr 29, 2025

    54/100
    • ECI138.2
    • Price$0.35 / $1.40
    • Context131K
    Full specs Remove Qwen3 14B

  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. DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

    55/100
    • ECI139.9
    • Price$0.385 / $1.25
    • Context131K
    Full specs Remove DeepSeek-V3.1
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (DeepSeek-V3.1 55/100, Qwen3 14B 54/100, DeepSeek V3 0324 54/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability, DeepSeek V3 0324 on price and DeepSeek V3 0324 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek-V3.1Capabilities Index (ECI): DeepSeek-V3.1 139.9 · Qwen3 14B 138.2 · DeepSeek V3 0324 135.9
  • Lowest priceDeepSeek V3 0324DeepSeek V3 0324 $0.405 · DeepSeek-V3.1 $0.601 · Qwen3 14B $0.613 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V3 0324DeepSeek V3 0324 163,840 · Qwen3 14B 131,072 · DeepSeek-V3.1 131,072 tokens
  • Widest inputsSame inputsQwen3 14B: Text · DeepSeek V3 0324: Text · DeepSeek-V3.1: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen3 14BDeepSeek V3 0324DeepSeek-V3.1
CapabilityCapabilities Index (ECI)50%636065
Price25%606860
Inputs & features15%352535
Context window10%242824
Overall100%54/10054/10055/100
02 — Side by side

Every spec in one table

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

Qwen3 14B vs DeepSeek V3 0324 vs DeepSeek-V3.1 specifications side by side
SpecificationQwen3 14BAlibaba (Qwen)DeepSeek V3 0324DeepSeekDeepSeek-V3.1DeepSeek
Capability
Capabilities Index (ECI)138.2135.9139.9 (best)
ECI rank#107 of 148#114 of 148#100 of 148 (best)
GPQA DiamondGraduate-level science questions63.8%67.6% (best)—
OTIS Mock AIME 2024–2025Competition mathematics66.4% (best)37.8%—
Price per million tokens
Input$0.35$0.24 (best)$0.385
Output$1.40$0.90 (best)$1.25
Cached input———
Blended (3:1)$0.613$0.405 (best)$0.601
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 5 providersMedian of 8 providers
Limits
Context window131,072 tokens163,840 tokens (best)131,072 tokens
Max output8,192 tokens163,840 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenOpenOpenMIT License
API model IDqwen3-14b——
API providers158 (best)
ReleasedApr 29, 2025Mar 24, 2025Aug 21, 2025
Knowledge cutoffApr 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.

  • Qwen3 14B$6.30
  • DeepSeek V3 0324$4.20
  • DeepSeek-V3.1$6.35
04 — Questions

Which should you choose?

Which is better: Qwen3 14B, DeepSeek V3 0324 or DeepSeek-V3.1?

It is close. Our weighted score puts them within 1 points (DeepSeek-V3.1 55/100, Qwen3 14B 54/100, DeepSeek V3 0324 54/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability, DeepSeek V3 0324 on price and DeepSeek V3 0324 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 14B, DeepSeek V3 0324 or DeepSeek-V3.1?

DeepSeek V3 0324 is cheaper at $0.24 input / $0.90 output per million tokens (median across 5 API providers). DeepSeek-V3.1 costs $0.385 input / $1.25 output per million tokens (median across 8 API providers); Qwen3 14B costs $0.35 input / $1.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.405 per million tokens for DeepSeek V3 0324 versus $0.601 for DeepSeek-V3.1 (1.5× as much) and $0.613 for Qwen3 14B (1.5× as much).

Which scores higher on benchmarks?

DeepSeek-V3.1 scores higher on the Capabilities Index (ECI): DeepSeek-V3.1 139.9 (#100 of 148), Qwen3 14B 138.2 (#107 of 148) and DeepSeek V3 0324 135.9 (#114 of 148). The confidence ranges of the top two overlap (136.1–143.3 vs 133.5–140.1), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 14B, DeepSeek V3 0324 and DeepSeek-V3.1 yet, so there is no like-for-like coding score. On overall capability, DeepSeek-V3.1 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 14B and 131,072 for DeepSeek-V3.1. Maximum output per response: Qwen3 14B up to 8,192, DeepSeek V3 0324 up to 163,840, DeepSeek-V3.1 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen3 14B accepts text; DeepSeek V3 0324 accepts text; DeepSeek-V3.1 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-V3.1 is the newest, released Aug 21, 2025. Qwen3 14B came out Apr 29, 2025; DeepSeek V3 0324 came out Mar 24, 2025. Knowledge cutoff: Qwen3 14B 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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