AI Models · Paid vs Paid

GPT-4 Turbo Paid vs Muse Spark 1.2 Paid

GPT-4 Turbo vs Muse Spark 1.2 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.

GPT-4 TurboPaidOpenAI
$10 /M input
$30 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalYes
Self-hostNo
Muse Spark 1.2PaidMeta
$1.25 /M input
$4.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Muse Spark 1.2 for the lower output price ($4.25/M vs $30/M). It also gives you the larger 1M context window.

GPT-4 Turbo vs Muse Spark 1.2 specs

SpecGPT-4 TurboMuse Spark 1.2Winner
MakerOpenAIMeta
TypeProprietaryProprietary
Context window128K tokens1M tokensMuse Spark 1.2
Input price$10/M$1.25/MMuse Spark 1.2
Output price$30/M$4.25/MMuse Spark 1.2
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

7.1×cheaper per output token

Muse Spark 1.2 is ~7.1× cheaper than GPT-4 Turbo on output tokens ($4.25 vs $30 per M tokens).

Choose GPT-4 Turbo if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Muse Spark 1.2 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

CapabilityGPT-4 TurboMuse Spark 1.2
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-4 Turbo vs Muse Spark 1.2

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

Muse Spark 1.2 delivers 40× more intelligence per dollar.
GPT-4 Turbo
Muse Spark 1.2
Intelligence index
7
39.8
Coding index
21.5
72.2
MMLU-Pro
69.4%
Humanity's Last Exam
3.1%
45.5%
LiveCodeBench
29.1%
MATH-500
73.7%
AIME
15%
GPQA
90.4%
Long Context Reasoning
79%
SciCode
57.4%
τ-Bench Banking
34.8%
Terminal-Bench
80.1%
Speed
0 tok/s
250.1 tok/s
Latency
0s
10.81s
Intelligence per $
0.5
19.9

Benchmark data by Artificial Analysis.

How GPT-4 Turbo and Muse Spark 1.2 score

🏆 Best value & openness: Muse Spark 1.2 (3.3 vs 2.8 / 5)
CriterionGPT-4 TurboMuse Spark 1.2
Cost-efficiency3.04.0
Context window3.55.0
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

GPT-4 Turbo Paid

OpenAI · Proprietary

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

Muse Spark 1.2 Paid

Meta · Proprietary

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

Frequently asked questions

GPT-4 Turbo vs Muse Spark 1.2 — which is cheaper?

Muse Spark 1.2 is cheaper on output ($4.25/M vs $30/M).

Which has the larger context window?

Muse Spark 1.2 offers the larger context window (1M tokens).

GPT-4 Turbo vs Muse Spark 1.2 — which should I pick in 2026?

Choose Muse Spark 1.2 for the lower output price ($4.25/M vs $30/M). It also gives you the larger 1M context window.

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