Model comparison

GPT-6.1 Sol vs Muse Spark 1.2

Muse Spark 1.2 has enough public results to be ranked (#44); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified October 10, 2026. 2 shared benchmarks.

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Muse Spark 1.2

Summary

They share 2 benchmarks with published results for both. GPT-6.1 Sol scores higher in 2 categories and Muse Spark 1.2 in 0 categories; 2 gaps are clear of the uncertainty.
The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 29.5.
The biggest single-benchmark swing is DeepSWE: 75.2% for GPT-6.1 Sol and 54.9% for Muse Spark 1.2.
Muse Spark 1.2 is cheaper at $1.25 / $4.25 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 1.05M.

Side by side

GPT-6.1 Sol and Muse Spark 1.2 specifications
	GPT-6.1 Sol	Muse Spark 1.2
Provider	OpenAI	Meta
Noometry Index	42.1	49.8
Released	2026-09-29	2026-08-05
Weights	Proprietary	Proprietary
Context window	1.05M	1.05M
Max output	128K	131K
Input $ / M tokens	$2	$1.25
Output $ / M tokens	$10	$4.25
Results tracked	2	28

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Category by category

Coding GPT-6.1 Sol leads

GPT-6.1 Sol: 51.4, Muse Spark 1.2: 48.6 (#49)

Coding benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
DeepSWE	75.2%	54.9%
LMArena WebDev	—	1532
FrontierSWE	—	12%
SciCode	—	56.4%
WeirdML	—	60.3%
LMArena Coding	—	1497

Agentic & Tool Use GPT-6.1 Sol leads

GPT-6.1 Sol: 34.3, Muse Spark 1.2: 29.5 (#77)

Agentic & Tool Use benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
GDP.pdf	32%	16%
APEX-Agents	—	36.4%

Reasoning Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 50.4 (#32)

Reasoning benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
SimpleBench	—	74.5%
NYT Connections (extended)	—	79.2%
CritPt	—	17.7%
LMArena Hard Prompts	—	1490
DTBench	—	94.7%
LMCA	—	48.4%
Epoch Capabilities Index	—	155.18

Math Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 43.8 (#68)

Math benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
ProofBench	—	43%

Knowledge Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 53.9 (#49)

Knowledge benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
SimpleQA Verified	—	60.3%
LMArena Expert	—	1485

Multimodal Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 42.6 (#24)

Multimodal benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
LMArena Vision	—	1304

Multilingual Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 57.4 (#10)

Multilingual benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
LMArena Non-English	—	1479
LMArena Chinese	—	1519
LMArena Russian	—	1494

Instruction Following Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 77.1 (#30)

Instruction Following benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
LMArena Instruction Following	—	1466

Long Context Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 45.4 (#35)

Long Context benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
LMArena Longer Query	—	1483

Writing & Preference Not comparable

GPT-6.1 Sol: —, Muse Spark 1.2: 72.6 (#14)

Writing & Preference benchmarks
Benchmark	GPT-6.1 Sol	Muse Spark 1.2
LMArena Text	—	1486
LMArena Creative Writing	—	1444
EQ-Bench Creative Writing	—	1840
LMArena Multi-Turn	—	1504

Frequently asked questions

Is GPT-6.1 Sol better than Muse Spark 1.2?

Muse Spark 1.2 has enough public results to be ranked (#44); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GPT-6.1 Sol or Muse Spark 1.2?

Muse Spark 1.2 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GPT-6.1 Sol or Muse Spark 1.2 better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 48.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 1.05M.

How many benchmarks do GPT-6.1 Sol and Muse Spark 1.2 share?

2 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Muse Spark 1.2 has 28.