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Head-to-head comparison

Muse Spark 1.2 vs GPT-5.2 Chat

Muse Spark 1.2 (Meta) and GPT-5.2 Chat (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 11 August 2026

As of 11 August 2026, Muse Spark 1.2 holds the stronger ModelCap Index position (#3 vs #9); Muse Spark 1.2 is 3.3× cheaper per output token ($4.25/1M vs $14.00/1M); and Muse Spark 1.2 offers the longer context window (1M vs 128K tokens).

Which should you choose?

Choose Muse Spark 1.2 if…

  • you want the stronger overall ModelCap Index position — #3 against #9 (78.5 vs 74.1 points).
  • API cost matters — $4.25/1M output tokens against $14.00/1M, about 3.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $1.25/1M against $1.75/1M.
  • you need the longer context window — 1M tokens against 128K.
  • Arena coding is your yardstick — 1532 against 1515.
  • you want the more recently listed model — Muse Spark 1.2 was listed 5 August 2026, GPT-5.2 Chat 10 December 2025.

Choose GPT-5.2 Chat if…

  • ModelCap publishes no field on which GPT-5.2 Chat leads Muse Spark 1.2 for this pair.

Muse Spark 1.2 vs GPT-5.2 Chat: specs, pricing and context

Specification comparison of Muse Spark 1.2 and GPT-5.2 Chat
FieldMuse Spark 1.2MetaGPT-5.2 ChatOpenAI
ModelCap Index position#3#9
Index score78.574.1
EvidenceMeasuredMeasured
Input price / 1M tokens$1.25$1.75
Output price / 1M tokens$4.25$14.00
Context window1M tokens128K tokens
Max output tokens—32K
API providers listed11
Weight accessAPI onlyAPI only
Input modalitiesText, Image, Video, File, AudioFile, Image, Text
First listed5 August 202610 December 2025
PublisherMetaOpenAI

Evidence: 2 public benchmark observations across 2 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Muse Spark 1.2 vs GPT-5.2 Chat

Public benchmark boards where Muse Spark 1.2 or GPT-5.2 Chat has a published result
BoardMuse Spark 1.2GPT-5.2 ChatLeads
Arena textArena (LMArena)—14761472–1480Only one result
Arena codingArena (LMArena)15321512–1551X-High15151508–1522Muse Spark 1.2

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Muse Spark 1.2 vs GPT-5.2 Chat: common questions

Is Muse Spark 1.2 better than GPT-5.2 Chat?

Muse Spark 1.2 ranks higher on the ModelCap Index as of 11 August 2026: #3 against #9. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is Muse Spark 1.2 cheaper than GPT-5.2 Chat?

Muse Spark 1.2 is cheaper on output tokens: $4.25/1M against $14.00/1M. Input tokens are $1.25/1M for Muse Spark 1.2 and $1.75/1M for GPT-5.2 Chat. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Muse Spark 1.2 or GPT-5.2 Chat?

Muse Spark 1.2 has the larger context window: 1M tokens against 128K.

Which is better for coding, Muse Spark 1.2 or GPT-5.2 Chat?

Arena coding: Muse Spark 1.2 1532, GPT-5.2 Chat 1515 — Muse Spark 1.2 leads.

Are Muse Spark 1.2 and GPT-5.2 Chat open-weight models?

Muse Spark 1.2: API only. GPT-5.2 Chat: API only. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Muse Spark 1.2 and GPT-5.2 Chat?

ModelCap currently lists 1 API provider for Muse Spark 1.2 and 1 for GPT-5.2 Chat, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Muse Spark 1.2 vs GPT-5.2 Chat comparison?

Every figure comes from the sealed ModelCap dataset published 11 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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