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Comparison · 2 models · Updated Nov 2, 2026

GPT OSS 120B vs DeepSeek R1 0528

GPT OSS 120B comes out ahead, 58 to 53 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    58/100
    • ECI139.8
    • Price$0.15 / $0.60
    • Context131K
    Full specs Remove GPT OSS 120B

  2. DeepSeek

    DeepSeek R1 0528

    Released May 28, 2025

    53/100
    • ECI141.2
    • Price$0.512 / $2.19
    • Context164K
    Full specs Remove DeepSeek R1 0528

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT OSS 120B is our pick

GPT OSS 120B is the better all-round choice, scoring 58/100 against DeepSeek R1 0528 (53). It leads on price. DeepSeek R1 0528 wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek R1 0528Capabilities Index (ECI): DeepSeek R1 0528 141.2 · GPT OSS 120B 139.8
  • Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · DeepSeek R1 0528 $0.932 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek R1 0528DeepSeek R1 0528 163,840 · GPT OSS 120B 131,072 tokens
  • Widest inputsSame inputsGPT OSS 120B: Text · DeepSeek R1 0528: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGPT OSS 120BDeepSeek R1 0528
CapabilityCapabilities Index (ECI)50%6466
Price25%7449
Inputs & features15%3535
Context window10%2528
Overall100%58/10053/100
02 — Side by side

Every spec in one table

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

GPT OSS 120B vs DeepSeek R1 0528 specifications side by side
SpecificationGPT OSS 120BOpenAIDeepSeek R1 0528DeepSeek
Capability
Capabilities Index (ECI)139.8141.2 (best)
ECI rank#114 of 165#108 of 165 (best)
GPQA DiamondGraduate-level science questions75.8%76.3% (best)
OTIS Mock AIME 2024–2025Competition mathematics88.9% (best)66.4%
Price per million tokens
Input$0.15 (best)$0.512
Output$0.60 (best)$2.19
Cached input——
Blended (3:1)$0.263 (best)$0.932
Long-context rateSame rateSame rate
Price sourceMedian of 65 providersMedian of 16 providers
Limits
Context window131,072 tokens163,840 tokens (best)
Max output32,768 tokens32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpenMIT
API model ID——
API providers67 (best)16
ReleasedAug 5, 2025May 28, 2025
Knowledge cutoffJun 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.

  • GPT OSS 120B$2.70
  • DeepSeek R1 0528$9.50
04 — Questions

Which should you choose?

Which is better: GPT OSS 120B or DeepSeek R1 0528?

GPT OSS 120B is the better all-round choice, scoring 58/100 against DeepSeek R1 0528 (53). It leads on price. DeepSeek R1 0528 wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT OSS 120B or DeepSeek R1 0528?

GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 65 API providers). DeepSeek R1 0528 costs $0.512 input / $2.19 output per million tokens (median across 16 API providers). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT OSS 120B versus $0.932 for DeepSeek R1 0528 (3.6× as much).

Which scores higher on benchmarks?

DeepSeek R1 0528 scores higher on the Capabilities Index (ECI): DeepSeek R1 0528 141.2 (#108 of 165) and GPT OSS 120B 139.8 (#114 of 165). The confidence ranges of the top two overlap (139.0–142.9 vs 135.6–142.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — DeepSeek R1 0528 76.3%, GPT OSS 120B 75.8%; OTIS Mock AIME 2024–2025 — GPT OSS 120B 88.9%, DeepSeek R1 0528 66.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT OSS 120B and DeepSeek R1 0528 yet, so there is no like-for-like coding score. On overall capability, DeepSeek R1 0528 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 R1 0528 has the largest context window at 163,840 tokens, against 131,072 for GPT OSS 120B. Maximum output per response: GPT OSS 120B up to 32,768, DeepSeek R1 0528 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

GPT OSS 120B accepts text; DeepSeek R1 0528 accepts text. They handle the same number of input types.

Are any of these open source?

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

Which is newer?

GPT OSS 120B is the newest, released Aug 5, 2025. DeepSeek R1 0528 came out May 28, 2025. Knowledge cutoff: GPT OSS 120B Jun 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 Nov 2, 2026.

05 — Keep comparing

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