AI Models · Paid vs Paid

o1-pro Paid vs Muse Spark 1.3 Paid

o1-pro vs Muse Spark 1.3 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

o1-proPaidOpenAI
$150 /M input
$600 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Muse Spark 1.3PaidMeta
$1.25 /M input
$4.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Muse Spark 1.3 for the lower output price ($4.25/M vs $600/M). It also gives you the larger 1M context window.

o1-pro vs Muse Spark 1.3 specs

Speco1-proMuse Spark 1.3Winner
MakerOpenAIMeta
TypeProprietaryProprietary
Context window200K tokens1M tokensMuse Spark 1.3
Input price$150/M$1.25/MMuse Spark 1.3
Output price$600/M$4.25/MMuse Spark 1.3
Vision / multimodalYesYes= Tie
Tool / function callingNoYesMuse Spark 1.3
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

141×cheaper per output token

Muse Spark 1.3 is ~141× cheaper than o1-pro on output tokens ($4.25 vs $600 per M tokens).

Choose o1-pro if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Muse Spark 1.3 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

Capabilityo1-proMuse Spark 1.3
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o1-pro vs Muse Spark 1.3

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

o1-pro
Muse Spark 1.3
Intelligence index
12.4
48.2
Coding index
75.8
GPQA
93.5%
Humanity's Last Exam
48.7%
Long Context Reasoning
83%
SciCode
58.8%
τ-Bench Banking
50.5%
Terminal-Bench
84.3%
Speed
0 tok/s
438.7 tok/s
Latency
0s
26.46s
Intelligence per $
0
24.1

Benchmark data by Artificial Analysis.

How o1-pro and Muse Spark 1.3 score

🏆 Best value & openness: Muse Spark 1.3 (3.3 vs 2.4 / 5)
Criteriono1-proMuse Spark 1.3
Cost-efficiency2.04.0
Context window4.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.55.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

o1-pro Paid

OpenAI · Proprietary

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...

Muse Spark 1.3 Paid

Meta · Proprietary

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

Frequently asked questions

o1-pro vs Muse Spark 1.3 — which is cheaper?

Muse Spark 1.3 is cheaper on output ($4.25/M vs $600/M).

Which has the larger context window?

Muse Spark 1.3 offers the larger context window (1M tokens).

o1-pro vs Muse Spark 1.3 — which should I pick in 2026?

Choose Muse Spark 1.3 for the lower output price ($4.25/M vs $600/M). It also gives you the larger 1M context window.

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