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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-R1-Distill-Qwen-32B vs GPT OSS 20B

GPT OSS 20B comes out ahead, 54 to 47 on our weighted score, and it is the cheaper option too.

  1. DeepSeek

    DeepSeek-R1-Distill-Qwen-32B

    Released Jan 20, 2025

    47/100
    • ECI137.4
    • Price—
    • Context131K
    Full specs Remove DeepSeek-R1-Distill-Qwen-32B
  2. Our pick

    OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    54/100
    • ECI137.8
    • Price$0.07 / $0.295
    • Context131K
    Full specs Remove GPT OSS 20B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT OSS 20B is our pick

GPT OSS 20B is the better all-round choice, scoring 54/100 against DeepSeek-R1-Distill-Qwen-32B (47). It leads on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

  • CapabilityGPT OSS 20BCapabilities Index (ECI): GPT OSS 20B 137.8 · DeepSeek-R1-Distill-Qwen-32B 137.4
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.126 per 1M tokens (3:1 blend) · DeepSeek-R1-Distill-Qwen-32B unpriced
  • Longest contextAbout the sameDeepSeek-R1-Distill-Qwen-32B 131,072 · GPT OSS 20B 131,072 tokens
  • Widest inputsSame inputsDeepSeek-R1-Distill-Qwen-32B: Text · GPT OSS 20B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek-R1-Distill-Qwen-32BGPT OSS 20B
CapabilityCapabilities Index (ECI)67%6263
Inputs & features20%1045
Context window13%2424
Overall100%47/10054/100

Left out because at least one model lacks the data: price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

DeepSeek-R1-Distill-Qwen-32B vs GPT OSS 20B specifications side by side
SpecificationDeepSeek-R1-Distill-Qwen-32BDeepSeekGPT OSS 20BOpenAI
Capability
Capabilities Index (ECI)137.4137.8 (best)
ECI rank#110 of 148#108 of 148 (best)
GPQA DiamondGraduate-level science questions64.1% (best)60.8%
OTIS Mock AIME 2024–2025Competition mathematics55.6%65.3% (best)
Price per million tokens
Input—$0.07
Output—$0.295
Cached input——
Blended (3:1)—$0.126
Long-context rate—Same rate
Price source—Median of 18 providers
Limits
Context window131,072 tokens131,072 tokens
Max output32,768 tokens32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingNoYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model ID——
API providers—19
ReleasedJan 20, 2025Aug 5, 2025
Knowledge cutoff——
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-R1-Distill-Qwen-32B—
  • GPT OSS 20B$1.29
04 — Questions

Which should you choose?

Which is better: DeepSeek-R1-Distill-Qwen-32B or GPT OSS 20B?

GPT OSS 20B is the better all-round choice, scoring 54/100 against DeepSeek-R1-Distill-Qwen-32B (47). It leads on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.

Which is cheaper, DeepSeek-R1-Distill-Qwen-32B or GPT OSS 20B?

GPT OSS 20B is cheaper at $0.07 input / $0.295 output per million tokens (median across 18 API providers). . At a typical mix of three input tokens to one output token, that is $0.126 per million tokens for GPT OSS 20B versus . DeepSeek-R1-Distill-Qwen-32B has no published per-token price.

Which scores higher on benchmarks?

GPT OSS 20B scores higher on the Capabilities Index (ECI): GPT OSS 20B 137.8 (#108 of 148) and DeepSeek-R1-Distill-Qwen-32B 137.4 (#110 of 148). The confidence ranges of the top two overlap (133.0–139.6 vs 130.7–138.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek-R1-Distill-Qwen-32B 64.1%, GPT OSS 20B 60.8%; OTIS Mock AIME 2024–2025 — GPT OSS 20B 65.3%, DeepSeek-R1-Distill-Qwen-32B 55.6%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-R1-Distill-Qwen-32B and GPT OSS 20B yet, so there is no like-for-like coding score. On overall capability, GPT OSS 20B leads, which tends to carry over to coding, but test on your own codebase. Note that DeepSeek-R1-Distill-Qwen-32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

DeepSeek-R1-Distill-Qwen-32B and GPT OSS 20B share the same 131,072-token context window. Maximum output per response: DeepSeek-R1-Distill-Qwen-32B up to 32,768, GPT OSS 20B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-R1-Distill-Qwen-32B accepts text; GPT OSS 20B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

GPT OSS 20B is the newest, released Aug 5, 2025. DeepSeek-R1-Distill-Qwen-32B came out Jan 20, 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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