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Comparison · 3 models · Updated Nov 2, 2026

DeepSeek-V3.1 vs GPT OSS 120B vs GPT OSS 20B

Too close to call on our weighted score (GPT OSS 20B 61, GPT OSS 120B 58, DeepSeek-V3.1 56). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek-V3.1

    Released Aug 21, 2025

    56/100
    • ECI139.8
    • Price$0.27 / $1.00
    • Context131K
  2. OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    58/100
    • ECI139.8
    • Price$0.15 / $0.60
    • Context131K
  3. OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 3 points (GPT OSS 20B 61/100, GPT OSS 120B 58/100, DeepSeek-V3.1 56/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability and GPT OSS 20B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek-V3.1 and GPT OSS 120BCapabilities Index (ECI): DeepSeek-V3.1 139.8 · GPT OSS 120B 139.8 · GPT OSS 20B 137.8
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · GPT OSS 120B $0.263 · DeepSeek-V3.1 $0.453 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameDeepSeek-V3.1 131,072 · GPT OSS 120B 131,072 · GPT OSS 20B 131,072 tokens
  • Widest inputsSame inputsDeepSeek-V3.1: Text · GPT OSS 120B: 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-V3.1GPT OSS 120BGPT OSS 20B
CapabilityCapabilities Index (ECI)50%646461
Price25%637490
Inputs & features15%353535
Context window10%252525
Overall100%56/10058/10061/100
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 vs GPT OSS 20B specifications side by side
SpecificationDeepSeek-V3.1DeepSeekGPT OSS 120BOpenAIGPT OSS 20BOpenAI
Capability
Capabilities Index (ECI)139.8 (best)139.8 (best)137.8
ECI rank#113 of 165 (best)#114 of 165#122 of 165
GPQA DiamondGraduate-level science questions—75.8% (best)60.8%
OTIS Mock AIME 2024–2025Competition mathematics—88.9% (best)65.3%
Price per million tokens
Input$0.27$0.15$0.07 (best)
Output$1.00$0.60$0.25 (best)
Cached input———
Blended (3:1)$0.453$0.263$0.115 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 19 providersMedian of 65 providersMedian of 37 providers
Limits
Context window131,072 tokens131,072 tokens131,072 tokens
Max output8,192 tokens32,768 tokens (best)32,768 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenMIT LicenseOpenOpen
API model ID———
API providers1967 (best)41
ReleasedAug 21, 2025Aug 5, 2025Aug 5, 2025
Knowledge cutoff—Jun 2024Jun 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.

  • DeepSeek-V3.1$4.70
  • GPT OSS 120B$2.70
  • GPT OSS 20B$1.20
04 — Questions

Which should you choose?

Which is better: DeepSeek-V3.1, GPT OSS 120B or GPT OSS 20B?

It is close. Our weighted score puts them within 3 points (GPT OSS 20B 61/100, GPT OSS 120B 58/100, DeepSeek-V3.1 56/100), so choose by what matters most for your work: DeepSeek-V3.1 for raw capability and GPT OSS 20B on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek-V3.1, GPT OSS 120B or GPT OSS 20B?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). GPT OSS 120B costs $0.15 input / $0.60 output per million tokens (median across 65 API providers); DeepSeek-V3.1 costs $0.27 input / $1.00 output per million tokens (median across 19 API providers). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $0.263 for GPT OSS 120B (2.3× as much) and $0.453 for DeepSeek-V3.1 (3.9× as much).

Which scores higher on benchmarks?

DeepSeek-V3.1 scores higher on the Capabilities Index (ECI): DeepSeek-V3.1 139.8 (#113 of 165), GPT OSS 120B 139.8 (#114 of 165) and GPT OSS 20B 137.8 (#122 of 165). The confidence ranges of the top two overlap (135.6–143.2 vs 135.6–142.2), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-V3.1, GPT OSS 120B and GPT OSS 20B 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-V3.1, GPT OSS 120B and GPT OSS 20B 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, GPT OSS 20B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-V3.1 accepts text; GPT OSS 120B accepts text; GPT OSS 20B 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. GPT OSS 120B came out Aug 5, 2025; GPT OSS 20B came out Aug 5, 2025. Knowledge cutoff: GPT OSS 120B Jun 2024, GPT OSS 20B 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.