Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

Muse Spark 1.2 vs GPT-5.5

Meta vs OpenAI · Prices checked 12 August 2026

Muse Spark 1.2 is the cheaper of the two by a wide margin: $2.15 per million tokens blended against $12.50, roughly 5.8× less. A single 100K-input, 10K-output job costs $0.168 on Muse Spark 1.2 against $0.800 on GPT-5.5.

GPT-5.5 takes a 1,050,000-token context window against 1,049,000, giving a modest edge for long documents or whole-codebase work. Muse Spark 1.2 was released Jul 2026; GPT-5.5 Apr 2026.

Pricing and capacity

Published token pricing and context window for Muse Spark 1.2 and GPT-5.5
MetricMuse Spark 1.2GPT-5.5Difference
Input / 1M tokens$1.25$5.004.0×
Output / 1M tokens$4.25$30.007.1×
Blended · 70/30calculated$2.15$12.505.8×
Blended · 50/50calculated$2.75$17.506.4×
Blended · 80/20calculated$1.85$10.005.4×
Blended · 20/80calculated$3.65$25.006.8×
Job cost · 100K + 10Kcalculated$0.168$0.8004.8×
Job cost · 1M + 100Kcalculated$1.68$8.004.8×
Context window1,049,0001,050,0000%

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Benchmarks

These two models do not currently report scores on any of the same benchmark suites, so there is no like-for-like capability comparison to show. Rather than pad the page with one-sided numbers, the benchmark leaderboards list every score we do hold.

What each model is for

Muse Spark 1.2

Meta · Frontier

Meta Superintelligence Labs' flagship line, and Meta's entry into the agentic coding market via the Meta Model API rather than open weights. Muse Spark plans work, delegates to subagents, writes scripts or drives UIs directly, and debugs from screenshots. It pairs a 1M-token context window with full multimodal input (images, video and PDFs) plus built-in search with citations, structured output and parallel tool calling.

  • Agentic execution with subagent delegation
  • Coding, with particular strength on frontend and design work
  • 1M-token context
  • Images, video and PDF input

GPT-5.5

OpenAI · Frontier

Released April 2026 and positioned by OpenAI as smarter and faster for complex coding, research and data-analysis work. It shipped alongside Thinking and Pro variants, neither available on the free tier, and has a published system card.

  • Complex coding and data analysis
  • 1M-token context
  • Thinking and Pro variants for harder work
  • Published system card

Frequently asked questions

Which is cheaper, Muse Spark 1.2 or GPT-5.5?

Muse Spark 1.2 is the cheaper of the two by a wide margin: $2.15 per million tokens blended against $12.50, roughly 5.8× less. A single 100K-input, 10K-output job costs $0.168 on Muse Spark 1.2 against $0.800 on GPT-5.5. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which has the larger context window, Muse Spark 1.2 or GPT-5.5?

GPT-5.5 takes a 1,050,000-token context window against 1,049,000, giving a modest edge for long documents or whole-codebase work. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare Muse Spark 1.2 and GPT-5.5 on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.