ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Muse Spark 1.2 vs GPT-5.4 mini

Muse Spark 1.2 comes out ahead, 72 to 63 on our weighted score, though GPT-5.4 mini is 16% cheaper per token.

  1. Our pick

    Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    72/100
    • ECI155.0
    • Price$1.25 / $4.25
    • Context1.05M
  2. OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Muse Spark 1.2 is our pick

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against GPT-5.4 mini (63). It leads on capability, inputs & features and context window. GPT-5.4 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.2Capabilities Index (ECI): Muse Spark 1.2 155.0 · GPT-5.4 mini 148.8
  • Lowest priceGPT-5.4 miniGPT-5.4 mini $1.69 · Muse Spark 1.2 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.2Muse Spark 1.2 1,048,576 · GPT-5.4 mini 400,000 tokens
  • Widest inputsMuse Spark 1.2Muse Spark 1.2: Text, Images, PDFs, Audio, Video · GPT-5.4 mini: Text, Images
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightMuse Spark 1.2GPT-5.4 mini
CapabilityCapabilities Index (ECI)50%8477
Price25%3639
Inputs & features15%10070
Context window10%6144
Overall100%72/10063/100
02 — Side by side

Every spec in one table

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

Muse Spark 1.2 vs GPT-5.4 mini specifications side by side
SpecificationMuse Spark 1.2MetaGPT-5.4 miniOpenAI
Capability
Capabilities Index (ECI)155.0 (best)148.8
ECI rank#30 of 148 (best)#56 of 148
GPQA DiamondGraduate-level science questions—86.9%
FrontierMath Tiers 1–3Research-level mathematics—51.2%
OTIS Mock AIME 2024–2025Competition mathematics—88.9%
SimpleQA VerifiedShort factual questions60.3% (best)29.4%
Price per million tokens
Input$1.25$0.75 (best)
Output$4.25 (best)$4.50
Cached input$0.15$0.075 (best)
Blended (3:1)$2.00$1.69 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Meta APIOfficial OpenAI API
Limits
Context window1,048,576 tokens (best)400,000 tokens
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesNo
AudioYesNo
VideoYesNo
ReasoningYesminimal · low · medium · high · xhighYeslow · medium · high · xhigh
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDmuse-spark-1.2gpt-5.4-mini
API providers1529 (best)
ReleasedAug 5, 2026Mar 17, 2026
Knowledge cutoff—Aug 31, 2025
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 Spark 1.2$21.00
  • GPT-5.4 mini$16.50
04 — Questions

Which should you choose?

Which is better: Muse Spark 1.2 or GPT-5.4 mini?

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against GPT-5.4 mini (63). It leads on capability, inputs & features and context window. GPT-5.4 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Muse Spark 1.2 or GPT-5.4 mini?

GPT-5.4 mini is cheaper at $0.75 input / $4.50 output per million tokens (official OpenAI API price). Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $1.69 per million tokens for GPT-5.4 mini versus $2.00 for Muse Spark 1.2 (1.2× as much).

Which scores higher on benchmarks?

Muse Spark 1.2 scores higher on the Capabilities Index (ECI): Muse Spark 1.2 155.0 (#30 of 148) and GPT-5.4 mini 148.8 (#56 of 148). Their confidence ranges do not overlap (152.8–157.5 vs 147.1–150.5), so the gap is a real one. On individual benchmarks: SimpleQA Verified — Muse Spark 1.2 60.3%, GPT-5.4 mini 29.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.2 and GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.2 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 Spark 1.2 has the largest context window at 1,048,576 tokens, against 400,000 for GPT-5.4 mini. Maximum output per response: Muse Spark 1.2 up to 131,072, GPT-5.4 mini up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Muse Spark 1.2 accepts text, images, PDFs, audio and video; GPT-5.4 mini accepts text and images. Muse Spark 1.2 handles the widest range of inputs.

Are any of these open source?

No. Muse Spark 1.2 and GPT-5.4 mini are proprietary and only available through APIs and apps.

Which is newer?

Muse Spark 1.2 is the newest, released Aug 5, 2026. GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: GPT-5.4 mini Aug 31, 2025.

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 Oct 4, 2026.