Model vs model

GPT OSS 120B vs Llama 4 Maverick

Free to try, no account needed. You see each answer’s cost and speed.

At a glance

Longer bar means the bigger number.

Open or closed · can you download the model and run it yourself?

GPT OSS 120BOpen weights · download it, run it on your own hardware or any host
Llama 4 MaverickOpen weights · download it, run it on your own hardware or any host

Blended price · per 1M tokens, lower is better

GPT OSS 120B$0.20
Llama 4 Maverick$0.42

Intelligence Index · Artificial Analysis, higher is better

GPT OSS 120B11.6
Llama 4 Maverick9.3

Where they sit among all 44 models

GPT OSS 120B ranks 38th of the 43 models with an Intelligence Index, Llama 4 Maverick 42nd. Up and to the left is smarter for less money. Hover or tap a dot for its numbers, then click it to compare that model with GPT OSS 120B.

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Rank by
Intelligence: the Artificial Analysis Intelligence Index. Price: blended per 1M tokens, 3 parts input to 1 part output, on a log scale.

Which one to pick

Pick GPT OSS 120B if

  • you want the lower bill ($0.20 vs $0.42 per 1M tokens blended)
  • you want the higher overall score (11.6 vs 9.3)
  • you care about AIME 2025 (competition math): 93.4 vs 19.3
  • you care about math: 93.4 vs 19.3

Pick Llama 4 Maverick if

  • you need to send images

See how they answer your prompt

Same prompt, both models

We send the same short tests to every model several times. These are the ones where GPT OSS 120B and Llama 4 Maverick answered differently, from our runs on October 18, 2026 and October 25, 2026. Long answers are cut short.

Three bullets, no letter e

“Give three tips for sleeping better. Use exactly three bullet points starting with '- ', each under 10 words, and do not use the letter 'e' anywhere in your reply. Reply with the bullets only.”

GPT OSS 120B

Followed both rules 3 of 3 times · this answer ok

- Dim room, no glow - No soda past dusk - Count calm thoughts

$0.0005 · 4.8s

Llama 4 Maverick

Followed both rules 0 of 3 times · this answer used e

- Dark rooms aid sound slumber - Avoid loud noisy surroundings always - Sandman visits calm minds only

under $0.0001 · 0.5s

Name a smart-umbrella startup

“Invent a name for a startup that sells smart umbrellas. Reply with the name only.”

GPT OSS 120B

“rainsense” 2 of 5 times

RainSense

under $0.0001 · 0.6s

Llama 4 Maverick

“raingenie” 3 of 5 times

RainGenie

under $0.0001 · 0.3s

Run your own test on both

Asked to draw the same picture

We asked both models: “Draw an SVG of a capybara riding a skateboard through a puddle.” They had to answer with SVG code alone, with no image tools.

GPT OSS 120B's SVG drawing of a capybara riding a skateboard through a puddle

GPT OSS 120B

Llama 4 Maverick's SVG drawing of a capybara riding a skateboard through a puddle

Llama 4 Maverick

Each model’s first drawing, exactly as it wrote the SVG. Nothing was picked or retouched.

Ask both for your own drawing

How smart is each one?

Of the 19 scores both models have, GPT OSS 120B is ahead on 15, and 4 are within a point.

Every intelligence score we have

Out of 100, higher is better. GPT OSS 120B Llama 4 Maverick

Overall

  • Intelligence Index

By area

  • Coding

  • Math

  • Agentic work

By field of work

  • Finance & accounting

  • Legal

  • Healthcare & medicine

    Llama 4 Maverick: not scored yet

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Hard reasoning · Humanity's Last Exam

  • Science · GPQA Diamond

  • Knowledge · MMLU-Pro

  • Competitive coding · LiveCodeBench

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Tool use · τ-Bench Banking

  • Instruction following · IFBench

  • Long documents · AA-LCR

  • Competition math · AIME 2025

  • Competition math · AIME 2024

    GPT OSS 120B: not scored yet

  • Math · MATH-500

    GPT OSS 120B: not scored yet

  • Uncensored · UGI

    Llama 4 Maverick: not scored yet

Test them on your own question

The specs

Spec GPT OSS 120B Llama 4 Maverick
Input price$0.10 per 1M$0.24 per 1M
Output price$0.50 per 1M$0.97 per 1M
Cost per test task$0.1076Not tested
Context window131K128K
Max output131K8K
AcceptsTextText, Image
Open weightsYesYes
LabOpenAIMeta
ReleasedAug 2025Apr 2025
Knowledge cutoffJun 2024Aug 2024

Blended price weighs 3 parts input to 1 part output. List prices from models.dev. Cost per test task from Artificial Analysis.

Questions

Is GPT OSS 120B or Llama 4 Maverick cheaper?

GPT OSS 120B is cheaper. It charges $0.10 per 1M input tokens and $0.50 per 1M output tokens, against $0.24 and $0.97 for Llama 4 Maverick. Blended 3 parts input to 1 part output, that is $0.20 against $0.42 per 1M tokens.

Are GPT OSS 120B and Llama 4 Maverick open source?

Both are open-weights models: OpenAI and Meta publish the weights, so you can download them and run them on your own hardware, or call them through any host's API. Check each model's license before you ship it.

Which is smarter, GPT OSS 120B or Llama 4 Maverick?

GPT OSS 120B scores higher on the Artificial Analysis Intelligence Index, 11.6 against 9.3 for Llama 4 Maverick. The biggest differences are on AIME 2025 (93.4 vs 19.3) and Math (93.4 vs 19.3).

Which has the longer context window?

They are about the same: GPT OSS 120B accepts 131K tokens and Llama 4 Maverick 128K.

Can I compare GPT OSS 120B and Llama 4 Maverick on my own prompt?

Yes. ModelCompare sends one prompt to both models at once and shows each answer side by side with what it cost. You can try it free without an account.

Still deciding? Send one prompt to both and read the answers side by side, with what each one cost. Compare GPT OSS 120B and Llama 4 Maverick →

Where the numbers come from

Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except SimpleQA, which is from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard. The hallucination test is ours: questions with one exact answer, fake evidence pushed against right answers and requests that tempt a model to name packages that don’t exist. Prices are list prices from models.dev. Example answers come from our own test runs. Updated October 26, 2026.