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Comparison · 2 models · Updated Nov 2, 2026

Gemini 4 Argon vs Muse Spark Open

Gemini 4 Argon comes out ahead, 74 to 68 on our weighted score, though Muse Spark Open is 2× cheaper per token.

  1. Our pick

    Google

    Gemini 4 Argon

    Released Oct 13, 2026

    74/100
    • ECI166.1
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove Gemini 4 Argon

  2. Meta

    Muse Spark Open

    Released Oct 15, 2026

    68/100
    • ECI155.1
    • Price$1.25 / $4.25
    • Context1.05M
    Full specs Remove Muse Spark Open

  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 Spark Open (68). It leads on capability and inputs & features. Muse Spark Open wins on 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 Spark Open 155.1
  • Lowest priceMuse Spark OpenMuse Spark Open $2.00 · Gemini 4 Argon $4.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGemini 4 Argon 1,048,576 · Muse Spark Open 1,048,576 tokens
  • Widest inputsGemini 4 ArgonGemini 4 Argon: Text, Images, PDFs, Audio, Video · Muse Spark Open: Text, Images, Audio, Video
  • Self-hostingMuse Spark OpenPublishes downloadable weights (Muse Model License)
How the score is built
MeasureWeightGemini 4 ArgonMuse Spark Open
CapabilityCapabilities Index (ECI)50%9683
Price25%2034
Inputs & features15%10080
Context window10%6161
Overall100%74/10068/100
02 — Side by side

Every spec in one table

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

Gemini 4 Argon vs Muse Spark Open specifications side by side
SpecificationGemini 4 ArgonGoogleMuse Spark OpenMeta
Capability
Capabilities Index (ECI)166.1 (best)155.1
ECI rank#7 of 165 (best)#39 of 165
GPQA DiamondGraduate-level science questions96.4% (best)88.6%
FrontierMath Tiers 1–3Research-level mathematics86.0% (best)69.8%
OTIS Mock AIME 2024–2025Competition mathematics100% (best)98.1%
SimpleQA VerifiedShort factual questions76.0% (best)56.6%
Price per million tokens
Input$2.00$1.25 (best)
Output$10.00$4.25 (best)
Cached input$0.10—
Blended (3:1)$4.00$2.00 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Google APIMedian of 16 providers
Limits
Context window1,048,576 tokens1,048,576 tokens
Max output65,536 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioYesYes
VideoYesYes
ReasoningYeslow · medium · highYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpenMuse Model License
API model IDgemini-4-argon—
API providers24 (best)16
ReleasedOct 13, 2026Oct 15, 2026
Knowledge cutoffMar 2026Jan 4, 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.

  • Gemini 4 Argon$40.00
  • Muse Spark Open$21.00
04 — Questions

Which should you choose?

Which is better: Gemini 4 Argon or Muse Spark Open?

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

Which is cheaper, Gemini 4 Argon or Muse Spark Open?

Muse Spark Open is cheaper at $1.25 input / $4.25 output per million tokens (median across 16 API providers). Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Muse Spark Open versus $4.00 for Gemini 4 Argon (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 Spark Open 155.1 (#39 of 165). Their confidence ranges do not overlap (163.1–170.3 vs 153.1–157.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Gemini 4 Argon 96.4%, Muse Spark Open 88.6%; FrontierMath Tiers 1–3 — Gemini 4 Argon 86.0%, Muse Spark Open 69.8%; OTIS Mock AIME 2024–2025 — Gemini 4 Argon 100%, Muse Spark Open 98.1%; SimpleQA Verified — Gemini 4 Argon 76.0%, Muse Spark Open 56.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 4 Argon and Muse Spark Open 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?

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

Which can read images, PDFs, audio or video?

Gemini 4 Argon accepts text, images, PDFs, audio and video; Muse Spark Open accepts text, images, audio and video. Gemini 4 Argon handles the widest range of inputs.

Are any of these open source?

Muse Spark Open publishes its weights (Muse Model License) and can be self-hosted; Gemini 4 Argon is proprietary.

Which is newer?

Muse Spark Open is the newest, released Oct 15, 2026. Gemini 4 Argon came out Oct 13, 2026. Knowledge cutoff: Gemini 4 Argon Mar 2026, Muse Spark Open Jan 4, 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.

05 — Keep comparing

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