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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-V3.1 vs GPT OSS 120B

GPT OSS 120B comes out ahead, 61 to 55 on our weighted score, and it is the cheaper option too.

  1. 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. Our pick

    OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    61/100
    • ECI140.0
    • Price$0.15 / $0.60
    • Context131K
    Full specs Remove GPT OSS 120B

  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 61/100 against DeepSeek-V3.1 (55). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 120BCapabilities Index (ECI): GPT OSS 120B 140.0 · DeepSeek-V3.1 139.9
  • Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · DeepSeek-V3.1 $0.601 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek-V3.1 131,072 · GPT OSS 120B 131,072 tokens
  • Widest inputsSame inputsDeepSeek-V3.1: Text · GPT OSS 120B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek-V3.1GPT OSS 120B
CapabilityCapabilities Index (ECI)50%6565
Price25%6077
Inputs & features15%3545
Context window10%2424
Overall100%55/10061/100
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 GPT OSS 120B specifications side by side
SpecificationDeepSeek-V3.1DeepSeekGPT OSS 120BOpenAI
Capability
Capabilities Index (ECI)139.9140.0 (best)
ECI rank#100 of 148#99 of 148 (best)
GPQA DiamondGraduate-level science questions—75.8%
OTIS Mock AIME 2024–2025Competition mathematics—88.9%
Price per million tokens
Input$0.385$0.15 (best)
Output$1.25$0.60 (best)
Cached input——
Blended (3:1)$0.601$0.263 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 8 providersMedian of 36 providers
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenMIT LicenseOpen
API model ID——
API providers839 (best)
ReleasedAug 21, 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-V3.1$6.35
  • GPT OSS 120B$2.70
04 — Questions

Which should you choose?

Which is better: DeepSeek-V3.1 or GPT OSS 120B?

GPT OSS 120B is the better all-round choice, scoring 61/100 against DeepSeek-V3.1 (55). It leads on price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek-V3.1 or GPT OSS 120B?

GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 36 API providers). DeepSeek-V3.1 costs $0.385 input / $1.25 output per million tokens (median across 8 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 $0.601 for DeepSeek-V3.1 (2.3× as much).

Which scores higher on benchmarks?

GPT OSS 120B scores higher on the Capabilities Index (ECI): GPT OSS 120B 140.0 (#99 of 148) and DeepSeek-V3.1 139.9 (#100 of 148). The confidence ranges of the top two overlap (135.3–142.3 vs 136.1–143.3), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-V3.1 and GPT OSS 120B yet, so there is no like-for-like coding score. On overall capability, GPT OSS 120B 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 GPT OSS 120B share the same 131,072-token context window. Maximum output per response: DeepSeek-V3.1 up to 8,192, GPT OSS 120B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-V3.1 accepts text; GPT OSS 120B 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. GPT OSS 120B came out Aug 5, 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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