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Comparison · 2 models · Updated Nov 2, 2026

Llama 4 Scout 17B Instruct vs GPT OSS 20B

Too close to call on our weighted score (Llama 4 Scout 17B Instruct 61, GPT OSS 20B 61). The right pick depends on what you value most.

  1. Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    61/100
    • ECI129.6
    • Price$0.17 / $0.59
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  2. OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
    Full specs Remove GPT OSS 20B

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 61/100, GPT OSS 20B 61/100), so choose by what matters most for your work: GPT OSS 20B for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT OSS 20BCapabilities Index (ECI): GPT OSS 20B 137.8 · Llama 4 Scout 17B Instruct 129.6
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · Llama 4 Scout 17B Instruct $0.275 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · GPT OSS 20B 131,072 tokens
  • Widest inputsLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct: Text, Images · GPT OSS 20B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 4 Scout 17B InstructGPT OSS 20B
CapabilityCapabilities Index (ECI)50%5161
Price25%7390
Inputs & features15%5035
Context window10%10025
Overall100%61/10061/100
02 — Side by side

Every spec in one table

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

Llama 4 Scout 17B Instruct vs GPT OSS 20B specifications side by side
SpecificationLlama 4 Scout 17B InstructMetaGPT OSS 20BOpenAI
Capability
Capabilities Index (ECI)129.6137.8 (best)
ECI rank#138 of 165#122 of 165 (best)
GPQA DiamondGraduate-level science questions51.8%60.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics7.8%65.3% (best)
Price per million tokens
Input$0.17$0.07 (best)
Output$0.59$0.25 (best)
Cached input——
Blended (3:1)$0.275$0.115 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 13 providersMedian of 37 providers
Limits
Context window10,000,000 tokens (best)131,072 tokens
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers1341 (best)
ReleasedApr 5, 2025Aug 5, 2025
Knowledge cutoffAug 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.

  • Llama 4 Scout 17B Instruct$2.88
  • GPT OSS 20B$1.20
04 — Questions

Which should you choose?

Which is better: Llama 4 Scout 17B Instruct or GPT OSS 20B?

It is close. Our weighted score puts them within a point (Llama 4 Scout 17B Instruct 61/100, GPT OSS 20B 61/100), so choose by what matters most for your work: GPT OSS 20B for raw capability and Llama 4 Scout 17B Instruct for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Llama 4 Scout 17B Instruct or GPT OSS 20B?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). Llama 4 Scout 17B Instruct costs $0.17 input / $0.59 output per million tokens (median across 13 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 $0.275 for Llama 4 Scout 17B Instruct (2.4× as much).

Which scores higher on benchmarks?

GPT OSS 20B scores higher on the Capabilities Index (ECI): GPT OSS 20B 137.8 (#122 of 165) and Llama 4 Scout 17B Instruct 129.6 (#138 of 165). Their confidence ranges do not overlap (133.1–139.7 vs 125.2–131.2), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT OSS 20B 60.8%, Llama 4 Scout 17B Instruct 51.8%; OTIS Mock AIME 2024–2025 — GPT OSS 20B 65.3%, Llama 4 Scout 17B Instruct 7.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Scout 17B Instruct 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 131,072 for GPT OSS 20B. Maximum output per response: Llama 4 Scout 17B Instruct up to 16,384, GPT OSS 20B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Scout 17B Instruct accepts text and images; GPT OSS 20B accepts text. Llama 4 Scout 17B Instruct handles the widest range of inputs.

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. Llama 4 Scout 17B Instruct came out Apr 5, 2025. Knowledge cutoff: Llama 4 Scout 17B Instruct Aug 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.

05 — Keep comparing

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