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GPT-6.1 Sol vs Muse Spark

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 41.7.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to 41.7, ranking #11 overall.

In the 1 individual benchmarks reported for both models, Muse Spark wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes coding and agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Muse Spark

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Muse Spark
Meta
Core performance indexes
LLM Stats Score
52.0
#11
41.7
#58
Reasoning
42.2
#50
40.5
#57
Coding
38.4
#19
22.9
#84
Agents
38.1
#12
14.1
#98
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-6.1 Sol
Muse Spark
Vision
31.6#26
31.2#28
Tool use
22.1#47
16.2#87
Multimodal
30.7#30
32.4#22
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for GPT-6.1 Sol · 19 for Muse Spark

1 shared

GPT-6.1 Sol outperforms in 0 benchmarks, while Muse Spark is better at 1 benchmark (HealthBench Hard).

Muse Spark significantly outperforms across most benchmarks.

Wed Oct 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Meta
Muse Spark
Input- tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Muse Spark support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

Muse Spark

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-6.1 Sol

Proprietary

Closed source

Muse Spark

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Muse Spark was released on 2026-04-08.

GPT-6.1 Sol is 6 months newer than Muse Spark.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

5mo newer
Muse Spark

Apr 8, 2026

6 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Muse Spark's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Muse Spark's cutoff date.

GPT-6.1 Sol

Apr 2026

Muse Spark

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Muse Spark side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Muse Spark
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Muse Spark.

Which is better, GPT-6.1 Sol or Muse Spark?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to 41.7. GPT-6.1 Sol is made by OpenAI and Muse Spark is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Sol compare to Muse Spark in benchmarks?

GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%. Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%.

What are the context window sizes for GPT-6.1 Sol and Muse Spark?

GPT-6.1 Sol supports 1.1M tokens and Muse Spark supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6.1 Sol and Muse Spark?

Key differences include LLM Stats Score (52.0 vs 41.7). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Muse Spark?

GPT-6.1 Sol is developed by OpenAI and Muse Spark is developed by Meta.

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