Model Comparison

GPT-4 Turbo vs Muse Spark 1.1Which is better in 2026?

Comparing GPT-4 Turbo and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: GPT-4 Turbo vs Muse Spark 1.1 — which is better?

GPT-4 Turbo (by OpenAI) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Muse Spark 1.1 is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-4 Turbo if…

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose Muse Spark 1.1 if…

  • cost matters — it's about 7.5x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-4 Turbo and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.1 costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 8.0x more expensive than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 7.1x more expensive than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Muse Spark 1.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas GPT-4 Turbo does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4 Turbo

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 27 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.3 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

2.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Muse Spark 1.1's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

GPT-4 Turbo

Dec 2023

Muse Spark 1.1

—

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. Muse Spark 1.1 is available from Meta Model API.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI

No standout differentiators in the data we have for this pair.

Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4 Turbo and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

GPT-4 Turbo
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
Meta
Muse Spark 1.1

FAQ

Common questions about GPT-4 Turbo vs Muse Spark 1.1.

Which is better, GPT-4 Turbo or Muse Spark 1.1?

GPT-4 Turbo (OpenAI) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GPT-4 Turbo compare to Muse Spark 1.1 in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is GPT-4 Turbo cheaper than Muse Spark 1.1?

Muse Spark 1.1 is 8.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for GPT-4 Turbo and Muse Spark 1.1?

GPT-4 Turbo supports 128K tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4 Turbo and Muse Spark 1.1?

Key differences include context window (128K vs 1.0M), input pricing ($10.00 vs $1.25/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 Turbo and Muse Spark 1.1?

GPT-4 Turbo is developed by OpenAI and Muse Spark 1.1 is developed by Meta.

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