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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-V3.1 vs Qwen3 32B

DeepSeek-V3.1 comes out ahead, 55 to 51 on our weighted score, and it is the cheaper option too.

  1. Our pick

    DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

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

  2. Alibaba (Qwen)

    Qwen3 32B

    Released Apr 29, 2025

    51/100
    • ECI138.5
    • Price$0.70 / $2.80
    • Context131K
    Full specs Remove Qwen3 32B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

DeepSeek-V3.1 is our pick

DeepSeek-V3.1 is the better all-round choice, scoring 55/100 against Qwen3 32B (51). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek-V3.1Capabilities Index (ECI): DeepSeek-V3.1 139.9 · Qwen3 32B 138.5
  • Lowest priceDeepSeek-V3.1DeepSeek-V3.1 $0.601 · Qwen3 32B $1.23 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek-V3.1 131,072 · Qwen3 32B 131,072 tokens
  • Widest inputsSame inputsDeepSeek-V3.1: Text · Qwen3 32B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek-V3.1Qwen3 32B
CapabilityCapabilities Index (ECI)50%6564
Price25%6046
Inputs & features15%3535
Context window10%2424
Overall100%55/10051/100
02 — Side by side

Every spec in one table

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

DeepSeek-V3.1 vs Qwen3 32B specifications side by side
SpecificationDeepSeek-V3.1DeepSeekQwen3 32BAlibaba (Qwen)
Capability
Capabilities Index (ECI)139.9 (best)138.5
ECI rank#100 of 148 (best)#106 of 148
GPQA DiamondGraduate-level science questions—65.7%
OTIS Mock AIME 2024–2025Competition mathematics—66.9%
Price per million tokens
Input$0.385 (best)$0.70
Output$1.25 (best)$2.80
Cached input——
Blended (3:1)$0.601 (best)$1.23
Long-context rateSame rateSame rate
Price sourceMedian of 8 providersOfficial Alibaba API
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenMIT LicenseOpen
API model ID—qwen3-32b
API providers814 (best)
ReleasedAug 21, 2025Apr 29, 2025
Knowledge cutoff—Apr 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-V3.1$6.35
  • Qwen3 32B$12.60
04 — Questions

Which should you choose?

Which is better: DeepSeek-V3.1 or Qwen3 32B?

DeepSeek-V3.1 is the better all-round choice, scoring 55/100 against Qwen3 32B (51). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek-V3.1 or Qwen3 32B?

DeepSeek-V3.1 is cheaper at $0.385 input / $1.25 output per million tokens (median across 8 API providers). Qwen3 32B costs $0.70 input / $2.80 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.601 per million tokens for DeepSeek-V3.1 versus $1.23 for Qwen3 32B (2× 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) and Qwen3 32B 138.5 (#106 of 148). The confidence ranges of the top two overlap (136.1–143.3 vs 135.1–140.4), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-V3.1 and Qwen3 32B 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. Both support tool calling for agent workflows.

Which has the bigger context window?

DeepSeek-V3.1 and Qwen3 32B share the same 131,072-token context window. Maximum output per response: DeepSeek-V3.1 up to 8,192, Qwen3 32B up to 16,384 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-V3.1 accepts text; Qwen3 32B 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-V3.1 is the newest, released Aug 21, 2025. Qwen3 32B came out Apr 29, 2025. Knowledge cutoff: Qwen3 32B 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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