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Comparison · 2 models · Updated Nov 2, 2026

GPT OSS 20B vs Llama 4 Maverick 17B Instruct

GPT OSS 20B comes out ahead, 61 to 57 on our weighted score, and it is the cheaper option too.

  1. Our pick

    OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

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

  2. Meta

    Llama 4 Maverick 17B Instruct

    Released Apr 5, 2025

    57/100
    • ECI132.3
    • Price$0.245 / $0.838
    • Context1M
    Full specs Remove Llama 4 Maverick 17B Instruct

  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 61/100 against Llama 4 Maverick 17B Instruct (57). It leads on capability and price. Llama 4 Maverick 17B Instruct wins on inputs & features and context window. 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 Maverick 17B Instruct 132.3
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · Llama 4 Maverick 17B Instruct $0.393 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct 1,000,000 · GPT OSS 20B 131,072 tokens
  • Widest inputsLlama 4 Maverick 17B InstructGPT OSS 20B: Text · Llama 4 Maverick 17B Instruct: Text, Images
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGPT OSS 20BLlama 4 Maverick 17B Instruct
CapabilityCapabilities Index (ECI)50%6155
Price25%9066
Inputs & features15%3550
Context window10%2560
Overall100%61/10057/100
02 — Side by side

Every spec in one table

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

GPT OSS 20B vs Llama 4 Maverick 17B Instruct specifications side by side
SpecificationGPT OSS 20BOpenAILlama 4 Maverick 17B InstructMeta
Capability
Capabilities Index (ECI)137.8 (best)132.3
ECI rank#122 of 165 (best)#135 of 165
GPQA DiamondGraduate-level science questions60.8%67.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics65.3% (best)20.6%
Price per million tokens
Input$0.07 (best)$0.245
Output$0.25 (best)$0.838
Cached input——
Blended (3:1)$0.115 (best)$0.393
Long-context rateSame rateSame rate
Price sourceMedian of 37 providersMedian of 16 providers
Limits
Context window131,072 tokens1,000,000 tokens (best)
Max output32,768 tokens (best)16,384 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model ID——
API providers41 (best)16
ReleasedAug 5, 2025Apr 5, 2025
Knowledge cutoffJun 2024Aug 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 20B$1.20
  • Llama 4 Maverick 17B Instruct$4.13
04 — Questions

Which should you choose?

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

GPT OSS 20B is the better all-round choice, scoring 61/100 against Llama 4 Maverick 17B Instruct (57). It leads on capability and price. Llama 4 Maverick 17B Instruct wins on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

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

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). Llama 4 Maverick 17B Instruct costs $0.245 input / $0.838 output per million tokens (median across 16 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 $0.393 for Llama 4 Maverick 17B Instruct (3.4× 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 Maverick 17B Instruct 132.3 (#135 of 165). The confidence ranges of the top two overlap (133.1–139.7 vs 128.6–134.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Maverick 17B Instruct 67.0%, GPT OSS 20B 60.8%; OTIS Mock AIME 2024–2025 — GPT OSS 20B 65.3%, Llama 4 Maverick 17B Instruct 20.6%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT OSS 20B and Llama 4 Maverick 17B Instruct 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 Maverick 17B Instruct has the largest context window at 1,000,000 tokens, against 131,072 for GPT OSS 20B. Maximum output per response: GPT OSS 20B up to 32,768, Llama 4 Maverick 17B Instruct up to 16,384 tokens.

Which can read images, PDFs, audio or video?

GPT OSS 20B accepts text; Llama 4 Maverick 17B Instruct accepts text and images. Llama 4 Maverick 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 Maverick 17B Instruct came out Apr 5, 2025. Knowledge cutoff: GPT OSS 20B Jun 2024, Llama 4 Maverick 17B Instruct Aug 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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