ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Muse Wonder vs Gemini 4 Argon

Gemini 4 Argon comes out ahead, 74 to 68 on our weighted score, and it is the cheaper option too.

  1. Meta

    Muse Wonder

    Released Oct 12, 2026New

    68/100
    • ECI161.7
    • Price$4.00 / $20.00
    • Context1.05M
  2. Our pick

    Google

    Gemini 4 Argon

    Released Oct 13, 2026New

    74/100
    • ECI166.1
    • Price$2.00 / $10.00
    • Context1.05M
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 4 Argon is our pick

Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Wonder (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 4 ArgonCapabilities Index (ECI): Gemini 4 Argon 166.1 · Muse Wonder 161.7
  • Lowest priceGemini 4 ArgonGemini 4 Argon $4.00 · Muse Wonder $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameMuse Wonder 1,048,576 · Gemini 4 Argon 1,048,576 tokens
  • Widest inputsSame inputsMuse Wonder: Text, Images, PDFs, Audio, Video · Gemini 4 Argon: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse WonderGemini 4 Argon
CapabilityCapabilities Index (ECI)50%9196
Price25%720
Inputs & features15%100100
Context window10%6161
Overall100%68/10074/100
02 — Side by side

Every spec in one table

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

Muse Wonder vs Gemini 4 Argon specifications side by side
SpecificationMuse WonderMetaGemini 4 ArgonGoogle
Capability
Capabilities Index (ECI)161.7166.1 (best)
ECI rank#13 of 165#7 of 165 (best)
GPQA DiamondGraduate-level science questions—96.4%
FrontierMath Tiers 1–3Research-level mathematics82.1%86.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics99.4%100% (best)
SimpleQA VerifiedShort factual questions—76.0%
Price per million tokens
Input$4.00$2.00 (best)
Output$20.00$10.00 (best)
Cached input$0.20$0.10 (best)
Blended (3:1)$8.00$4.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIOfficial Google API
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioYesYes
VideoYesYes
ReasoningYesminimal · low · medium · high · xhigh · maxYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmuse-wonder-1.0gemini-4-argon
API providers924 (best)
ReleasedOct 12, 2026Oct 13, 2026
Knowledge cutoff—Mar 2026
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.

  • Muse Wonder$80.00
  • Gemini 4 Argon$40.00
04 — Questions

Which should you choose?

Which is better: Muse Wonder or Gemini 4 Argon?

Gemini 4 Argon is the better all-round choice, scoring 74/100 against Muse Wonder (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Wonder or Gemini 4 Argon?

Gemini 4 Argon is cheaper at $2.00 input / $10.00 output per million tokens (official Google API price). Muse Wonder costs $4.00 input / $20.00 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for Gemini 4 Argon versus $8.00 for Muse Wonder (2× as much).

Which scores higher on benchmarks?

Gemini 4 Argon scores higher on the Capabilities Index (ECI): Gemini 4 Argon 166.1 (#7 of 165) and Muse Wonder 161.7 (#13 of 165). The confidence ranges of the top two overlap (163.1–170.3 vs 159.2–164.6), so treat the gap as small. On individual benchmarks: FrontierMath Tiers 1–3 — Gemini 4 Argon 86.0%, Muse Wonder 82.1%; OTIS Mock AIME 2024–2025 — Gemini 4 Argon 100%, Muse Wonder 99.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Wonder and Gemini 4 Argon yet, so there is no like-for-like coding score. On overall capability, Gemini 4 Argon 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?

Muse Wonder and Gemini 4 Argon share the same 1,048,576-token context window. Maximum output per response: Muse Wonder up to 131,072, Gemini 4 Argon up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Muse Wonder accepts text, images, PDFs, audio and video; Gemini 4 Argon accepts text, images, PDFs, audio and video. They handle the same number of input types.

Are any of these open source?

No. Muse Wonder and Gemini 4 Argon are proprietary and only available through APIs and apps.

Which is newer?

Gemini 4 Argon is the newest, released Oct 13, 2026. Muse Wonder came out Oct 12, 2026. Knowledge cutoff: Gemini 4 Argon Mar 2026.

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.