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Comparison · 2 models · Updated Oct 4, 2026

Llama 4 Maverick 17B Instruct vs GPT OSS 120B

GPT OSS 120B comes out ahead, 61 to 58 on our weighted score, and it is the cheaper option too.

  1. Meta

    Llama 4 Maverick 17B Instruct

    Released Apr 5, 2025

    58/100
    • ECI132.2
    • Price$0.321 / $0.91
    • Context1M
    Full specs Remove Llama 4 Maverick 17B Instruct
  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 Llama 4 Maverick 17B Instruct (58). 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 120BCapabilities Index (ECI): GPT OSS 120B 140.0 · Llama 4 Maverick 17B Instruct 132.2
  • Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · Llama 4 Maverick 17B Instruct $0.468 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct 1,000,000 · GPT OSS 120B 131,072 tokens
  • Widest inputsLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct: Text, Images · GPT OSS 120B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama 4 Maverick 17B InstructGPT OSS 120B
CapabilityCapabilities Index (ECI)50%5665
Price25%6677
Inputs & features15%5045
Context window10%6024
Overall100%58/10061/100
02 — Side by side

Every spec in one table

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

Llama 4 Maverick 17B Instruct vs GPT OSS 120B specifications side by side
SpecificationLlama 4 Maverick 17B InstructMetaGPT OSS 120BOpenAI
Capability
Capabilities Index (ECI)132.2140.0 (best)
ECI rank#122 of 148#99 of 148 (best)
GPQA DiamondGraduate-level science questions67.0%75.8% (best)
OTIS Mock AIME 2024–2025Competition mathematics20.6%88.9% (best)
Price per million tokens
Input$0.321$0.15 (best)
Output$0.91$0.60 (best)
Cached input——
Blended (3:1)$0.468$0.263 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 6 providersMedian of 36 providers
Limits
Context window1,000,000 tokens (best)131,072 tokens
Max output16,384 tokens32,768 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpen
API model ID——
API providers639 (best)
ReleasedApr 5, 2025Aug 5, 2025
Knowledge cutoffAug 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 Maverick 17B Instruct$5.03
  • GPT OSS 120B$2.70
04 — Questions

Which should you choose?

Which is better: Llama 4 Maverick 17B Instruct or GPT OSS 120B?

GPT OSS 120B is the better all-round choice, scoring 61/100 against Llama 4 Maverick 17B Instruct (58). 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, Llama 4 Maverick 17B Instruct or GPT OSS 120B?

GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 36 API providers). Llama 4 Maverick 17B Instruct costs $0.321 input / $0.91 output per million tokens (median across 6 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 $0.468 for Llama 4 Maverick 17B Instruct (1.8× 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 Llama 4 Maverick 17B Instruct 132.2 (#122 of 148). Their confidence ranges do not overlap (135.3–142.3 vs 128.0–134.1), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT OSS 120B 75.8%, Llama 4 Maverick 17B Instruct 67.0%; OTIS Mock AIME 2024–2025 — GPT OSS 120B 88.9%, Llama 4 Maverick 17B Instruct 20.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama 4 Maverick 17B Instruct 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?

Llama 4 Maverick 17B Instruct has the largest context window at 1,000,000 tokens, against 131,072 for GPT OSS 120B. Maximum output per response: Llama 4 Maverick 17B Instruct up to 16,384, GPT OSS 120B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Llama 4 Maverick 17B Instruct accepts text and images; GPT OSS 120B accepts text. 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 120B is the newest, released Aug 5, 2025. Llama 4 Maverick 17B Instruct came out Apr 5, 2025. Knowledge cutoff: 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 Oct 4, 2026.

05 — Keep comparing

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