Model Comparison

GPT-4.1 nano vs Muse Spark 1.1Which is better in 2026?

Muse Spark 1.1 significantly outperforms across most benchmarks. GPT-4.1 nano is 11.4x cheaper per token.

Verdict: GPT-4.1 nano vs Muse Spark 1.1 — which is better?

GPT-4.1 nano (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.

GPT-4.1 nano outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (CharXiv-R). Muse Spark 1.1 significantly outperforms across most benchmarks.

On price, GPT-4.1 nano is roughly 11.4x 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-4.1 nano if…

  • cost matters — it's about 11.4x cheaper per token

Choose Muse Spark 1.1 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • 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

1 benchmarks

GPT-4.1 nano outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (CharXiv-R).

Muse Spark 1.1 significantly outperforms across most benchmarks.

Mon Jul 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 nano costs less

For input processing, GPT-4.1 nano ($0.10/1M tokens) is 12.5x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, GPT-4.1 nano ($0.40/1M tokens) is 10.6x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than GPT-4.1 nano.*

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

Lowest available price from all providers
Mon Jul 20 2026 • llm-stats.com
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
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-4.1 nano's 1,047,576 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Mon Jul 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4.1 nano and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4.1 nano

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-4.1 nano

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4.1 nano was released on 2025-04-14, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 15 months newer than GPT-4.1 nano.

GPT-4.1 nano

Apr 14, 2025

1.3 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Muse Spark 1.1's cutoff date is not specified.

We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

GPT-4.1 nano

May 2024

Muse Spark 1.1

Provider Availability

GPT-4.1 nano is available from OpenAI. Muse Spark 1.1 is available from Meta Model API.

GPT-4.1 nano

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Larger context window (1,048,576 tokens)
Higher CharXiv-R score (88.4% vs 40.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-4.1 nano and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

GPT-4.1 nano
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-4.1 nano
Meta
Muse Spark 1.1

FAQ

Common questions about GPT-4.1 nano vs Muse Spark 1.1.

Which is better, GPT-4.1 nano or Muse Spark 1.1?

Muse Spark 1.1 significantly outperforms across most benchmarks. GPT-4.1 nano is made by OpenAI and Muse Spark 1.1 is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4.1 nano compare to Muse Spark 1.1 in benchmarks?

GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%. 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-4.1 nano cheaper than Muse Spark 1.1?

GPT-4.1 nano is 12.5x cheaper for input tokens. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for GPT-4.1 nano and Muse Spark 1.1?

GPT-4.1 nano supports 1.0M 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-4.1 nano and Muse Spark 1.1?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.10 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.1 nano and Muse Spark 1.1?

GPT-4.1 nano is developed by OpenAI and Muse Spark 1.1 is developed by Meta.