ModelCompare

Model vs model

Qwen3.8 27B vs GPT-6 Luna

Qwen3.8 27B costs 5.6× as much as GPT-6 Luna, at $1.13 per 1M tokens blended against $0.20, and it scores lower on the Intelligence Index, 33.7 against 38.1. GPT-6 Luna is the stronger pick for general use, leading on SciCode and Terminal-Bench 4.0. Choose Qwen3.8 27B if you need open weights.

By ModelCompare ·

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

At a glance

Longer bar means the bigger number.

Blended price · per 1M tokens, lower is better

Qwen3.8 27B$1.13
GPT-6 Luna$0.20

Intelligence Index · Artificial Analysis, higher is better

Qwen3.8 27B33.7
GPT-6 Luna38.1

Context window · tokens it can read at once

Qwen3.8 27B1M
GPT-6 Luna1.05M

Where they sit among all 30 models

Qwen3.8 27B ranks 21st of the 29 models with an Intelligence Index, GPT-6 Luna 18th. 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 Qwen3.8 27B.

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 Qwen3.8 27B if

  • you want open weights you can run yourself

Pick GPT-6 Luna if

  • you want the lower bill ($0.20 vs $1.13 per 1M tokens blended)
  • you want the higher overall score (38.1 vs 33.7)
  • you care about SciCode (scientific coding): 54.6 vs 46.6
  • you care about Terminal-Bench 4.0 (terminal tasks): 12.6 vs 5.6

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 Qwen3.8 27B and GPT-6 Luna answered differently, from our run on October 18, 2026. Long answers are cut short.

Name a smart-umbrella startup

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

Qwen3.8 27B

“canopyiq” 4 of 5 times

CanopyIQ

$0.0003 · 4.2s

GPT-6 Luna

“nimbusiq” 4 of 5 times

NimbusIQ

under $0.0001 · 1.0s

Pick a random number

“Pick a random number between 1 and 100. Reply with the number only.”

Qwen3.8 27B

“42” 8 of 10 times

42

$0.0002 · 2.3s

GPT-6 Luna

“47” 8 of 10 times

47

under $0.0001 · 0.9s

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.

Qwen3.8 27B's SVG drawing of a capybara riding a skateboard through a puddle

Qwen3.8 27B

GPT-6 Luna's SVG drawing of a capybara riding a skateboard through a puddle

GPT-6 Luna

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 13 scores both models have, GPT-6 Luna is ahead on 11, and 2 are within a point.

Every intelligence score we have

Out of 100, higher is better. Qwen3.8 27B GPT-6 Luna

Overall

  • Intelligence Index

By area

  • Coding

    GPT-6 Luna: not scored yet

  • Agentic work

    GPT-6 Luna: not scored yet

By field of work

  • Finance & accounting

  • Legal

  • Healthcare & medicine

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Factual knowledge · SimpleQA

    Qwen3.8 27B: not scored yet

  • Hard reasoning · Humanity's Last Exam

  • Science · GPQA Diamond

    GPT-6 Luna: not scored yet

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Tool use · τ-Bench Banking

    GPT-6 Luna: not scored yet

  • Long documents · AA-LCR

Our tests

  • Hallucination test · our test, higher means it made up less

    Qwen3.8 27B: not scored yet

  • Rule that has to last 4 turns · our test, % of tries passed

  • Three bullets, no letter e · our test, % of tries passed

Test them on your own question

The specs

Spec Qwen3.8 27B GPT-6 Luna
Input price$0.50 per 1M$0.10 per 1M
Output price$3 per 1M$0.50 per 1M
Context window1M1.05M
Max output131K128K
AcceptsText, Image, PDFText, Image, PDF
Open weightsYesNo
LabAlibabaOpenAI
ReleasedAug 2026Sep 2026
Knowledge cutoffNot publishedMay 2026

Blended price weighs 3 parts input to 1 part output. List prices from models.dev.

Questions

Is Qwen3.8 27B or GPT-6 Luna cheaper?

GPT-6 Luna is cheaper. It charges $0.10 per 1M input tokens and $0.50 per 1M output tokens, against $0.50 and $3 for Qwen3.8 27B. Blended 3 parts input to 1 part output, that is $0.20 against $1.13 per 1M tokens.

Which is smarter, Qwen3.8 27B or GPT-6 Luna?

GPT-6 Luna scores higher on the Artificial Analysis Intelligence Index, 38.1 against 33.7 for Qwen3.8 27B. The biggest differences are on SciCode (46.6 vs 54.6) and Terminal-Bench 4.0 (5.6 vs 12.6).

Which has the longer context window?

GPT-6 Luna accepts 1.05M tokens, against 1M for Qwen3.8 27B.

Can I compare Qwen3.8 27B and GPT-6 Luna 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 Qwen3.8 27B and GPT-6 Luna →

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 22, 2026.