AI Models · Paid vs Paid

o3 Paid vs Muse Spark 1.3 Contributor Paid

o3 vs Muse Spark 1.3 Contributor 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.

o3PaidOpenAI
$2 /M input
$8 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Muse Spark 1.3 ContributorPaidMeta
$0.1 /M input
$0.2 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Muse Spark 1.3 Contributor for the lower output price ($0.2/M vs $8/M). It also gives you the larger 1M context window.

o3 vs Muse Spark 1.3 Contributor specs

Speco3Muse Spark 1.3 ContributorWinner
MakerOpenAIMeta
TypeProprietaryProprietary
Context window200K tokens1M tokensMuse Spark 1.3 Contributor
Input price$2/M$0.1/MMuse Spark 1.3 Contributor
Output price$8/M$0.2/MMuse Spark 1.3 Contributor
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

40×cheaper per output token

Muse Spark 1.3 Contributor is ~40× cheaper than o3 on output tokens ($0.2 vs $8 per M tokens).

Choose o3 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 Contributor 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

Capabilityo3Muse Spark 1.3 Contributor
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: o3 vs Muse Spark 1.3 Contributor

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

o3
Muse Spark 1.3 Contributor
Intelligence index
20.2
Math index
88.3
GPQA
82.7%
MMLU-Pro
85.3%
Humanity's Last Exam
20.1%
Long Context Reasoning
74.7%
LiveCodeBench
80.8%
MATH-500
99.2%
AIME
90.3%
AIME 2025
88.3%
IFBench
71.4%
τ²-Bench
80.7%
Terminal-Bench Hard
37.1%
Speed
114.5 tok/s
Latency
6.58s
Intelligence per $
5.8

Benchmark data by Artificial Analysis.

How o3 and Muse Spark 1.3 Contributor score

🏆 Best value & openness: Muse Spark 1.3 Contributor (3.5 vs 3.0 / 5)
Criteriono3Muse Spark 1.3 Contributor
Cost-efficiency3.55.0
Context window4.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

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

o3 Paid

OpenAI · Proprietary

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following....

Muse Spark 1.3 Contributor Paid

Meta · Proprietary

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
o3 Proo3 (batch)o3 Minio3 Mini (batch)o3 Mini High

Frequently asked questions

o3 vs Muse Spark 1.3 Contributor — which is cheaper?

Muse Spark 1.3 Contributor is cheaper on output ($0.2/M vs $8/M).

Which has the larger context window?

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

o3 vs Muse Spark 1.3 Contributor — which should I pick in 2026?

Choose Muse Spark 1.3 Contributor for the lower output price ($0.2/M vs $8/M). It also gives you the larger 1M context window.

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