Model vs model

Gemma 4 31B IT vs Muse Ember

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?

Gemma 4 31B ITOpen weights · download it, run it on your own hardware or any host
Muse EmberClosed · only through Meta’s API or a cloud that resells it

Blended price · per 1M tokens, lower is better

Gemma 4 31B IT$0.21
Muse Ember$0.20

Context window · tokens it can read at once

Gemma 4 31B IT262K
Muse Ember1.05M

Where they sit among all 45 models

Gemma 4 31B IT ranks 32nd of the 40 models with an Intelligence Index. 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 Gemma 4 31B IT.

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Rank by
Intelligence: the Artificial Analysis Intelligence Index. Price: blended per 1M tokens, 3 parts input to 1 part output. Lines at $2 blended and the median score (38.4). The dashed line joins the best value models: nothing cheaper scores higher.

Which one to pick

Pick Gemma 4 31B IT if

  • you want open weights you can download and run yourself

Pick Muse Ember if

  • you want the lower bill ($0.20 vs $0.21 per 1M tokens blended)
  • you need a longer context window (1.05M vs 262K tokens)

See how they answer your prompt

How smart is each one?

Every intelligence score we have

Out of 100, higher is better. Gemma 4 31B IT Muse Ember

Muse Ember has no Artificial Analysis scores yet, so only our own tests compare them.

Overall

  • Intelligence Index

By area

  • Coding

  • Agentic work

By field of work

  • Finance & accounting

  • Legal

  • Economics

  • Engineering

  • Strategy & operations

Benchmarks

  • Factual knowledge · SimpleQA

  • Hard reasoning · Humanity's Last Exam

  • Science · GPQA Diamond

  • Competition math · OTIS Mock AIME

  • Scientific coding · SciCode

  • Terminal tasks · Terminal-Bench 4.0

  • Tool use · τ-Bench Banking

  • Instruction following · IFBench

  • Long documents · AA-LCR

  • Uncensored · UGI

Test them on your own question

The specs

Spec Gemma 4 31B IT Muse Ember
Input price$0.14 per 1M$0.10 per 1M
Output price$0.40 per 1M$0.50 per 1M
Cost per test taskNot tested$0.1531
Context window262K1.05M
Max output131K—
AcceptsText, Image, PDFText, Image, PDF
Open weightsYesNo
LabGoogleMeta
ReleasedApr 2026Nov 2026
Knowledge cutoffJan 2025Not published

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

Questions

Is Gemma 4 31B IT or Muse Ember cheaper?

Muse Ember is cheaper. It charges $0.10 per 1M input tokens and $0.50 per 1M output tokens, against $0.14 and $0.40 for Gemma 4 31B IT. Blended 3 parts input to 1 part output, that is $0.20 against $0.21 per 1M tokens.

Are Gemma 4 31B IT and Muse Ember open source?

Only Gemma 4 31B IT. It is an open-weights model: Google publishes the weights, so you can download it, run it on your own hardware or pick any host. Muse Ember is closed: you can only use it through an API.

Which has the longer context window?

Muse Ember accepts 1.05M tokens, against 262K for Gemma 4 31B IT.

Can I compare Gemma 4 31B IT and Muse Ember 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 Gemma 4 31B IT and Muse Ember →

Where the numbers come from

Intelligence Index and benchmark scores are from Artificial Analysis, at each model’s highest effort, except the Epoch Capabilities Index, SimpleQA, OTIS Mock AIME and FrontierMath, which are from Epoch AI, and the Uncensored score, which is from the UGI Leaderboard, and CursorBench, which is from Cursor, and FrontierCode, which is from Cognition at each model’s best-scoring effort. 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 November 13, 2026.