VerdictPal · editorial desk · 2026VerdictPal
Compare · Two models, head-to-head

Pick two models. See the diff.

Composite scores, benchmark ranks, capability grids, and pricing per million tokens. All sourced from the same data that powers the model atlas.

Muse Spark 1.1 vs GPT-5.6 Sol

Muse Spark 1.14stats won
Tied1stats
GPT-5.6 Sol2stats won
Spec showdown

Capacity, price, freshness.

Muse Spark 1.1vsGPT-5.6 Sol

GPT-5.6 Sol holds a narrow composite edge (66 vs 59), but the gap is small enough that other factors matter more. GPT-5.6 Sol has the higher Vals/AA intelligence score (73 vs 51). Muse Spark 1.1 is significantly cheaper at $1.3/1M input vs $5.0/1M input. Muse Spark 1.1's 1M context window dwarfs GPT-5.6 Sol's 0 — a meaningful difference for long-document or codebase work.

  1. Composite score
    Muse Spark 1.159GPT-5.6 Sol66Winner on this row
  2. Intelligence (Vals/AA)
    Muse Spark 1.151GPT-5.6 Sol73Winner on this row
  3. Context window
    Muse Spark 1.11MWinner on this rowGPT-5.6 SolUnlisted
  4. Max output
    Muse Spark 1.1GPT-5.6 Sol
  5. Input price / 1M (lower wins)
    Muse Spark 1.1$1.3Winner on this rowGPT-5.6 Sol$5.0
  6. Output speed (AA default API)
    Muse Spark 1.1122 t/sWinner on this rowGPT-5.6 Sol67 t/s
  7. Time to first token (AA default API)
    Muse Spark 1.10.83sWinner on this rowGPT-5.6 Sol76.91s
Composite score
59
vs
66Winner on this row
Intelligence (Vals/AA)
51
vs
73Winner on this row
Context window
1MWinner on this row
vs
Unlisted
Max output
vs
Input price / 1M (lower wins)
$1.3Winner on this row
vs
$5.0
Output speed (AA default API)
122 t/sWinner on this row
vs
67 t/s
Time to first token (AA default API)
0.83sWinner on this row
vs
76.91s
Capability grid

What each model can do.

Modalities

Muse Spark 1.1GPT-5.6 Sol
Text
Image
Audio
Video
Code
Tool use
Reasoning

Access

Muse Spark 1.1GPT-5.6 Sol
API
Consumer app
Open weights
Managed cloud
On-device
Family radar

Top score per benchmark family.

Reasoning
90
vs
94Winner on this row
Coding
58Winner on this row
vs
56
Agentic
78
vs
88Winner on this row
Long context
63
vs
74Winner on this row
Benchmark ranks

Every shared benchmark, side by side.

Reasoning

Artificial Analysis Intelligence Index#14/67 · #2/67
50.6%
vs
58.9%Winner on this row
GPQA Diamond#24/69 · #3/69
89.8%
vs
94.1%Winner on this row
Humanity's Last Exam#4/65 · #2/65
45.1%
vs
47.2%Winner on this row

Coding

SciCode#4/65 · #8/65
58.2%Winner on this row
vs
56.1%

Agentic

Terminal-Bench#15/69 · #1/69
77.9%
vs
88.01%Winner on this row
τ³-Bench Banking#36/64 · #21/64
25.15%
vs
32.99%Winner on this row

Long context

AA-LCR#43/64 · #8/64
63.33%
vs
73.67%Winner on this row

Performance

AA output speed#22/69 · #42/69
122 t/sWinner on this row
vs
67 t/s
AA time to first token#50/69 · #6/69
0.83sWinner on this row
vs
76.91s
Dossier facts

Dates, sources, fineprint.

Muse Spark 1.1GPT-5.6 Sol
ProviderMetaOpenAI
FamilyMuse SparkGPT-5.6
Release date2026-07-092026-07-09
Knowledge cutoffunpublishedunpublished
Context window1MUnlisted
Max output
Input price /1M$1.3$5.0
Output price /1M$4.3$30
Statussolidflagship
Composite score5966
Intelligence score5173
Intel sourceaavals
Benchmark rows911
Source count12
Freshnessfreshfresh
Pricing checked2026-07-192026-07-19
Ecosystem

Which tools wrap each model.

Muse Spark 1.1

Not listed in any tool yet.

GPT-5.6 Sol

Not listed in any tool yet.

Verdict

Which model to actually pick.

GPT-5.6 Sol holds a narrow composite edge (66 vs 59), but the gap is small enough that other factors matter more. GPT-5.6 Sol has the higher Vals/AA intelligence score (73 vs 51). Muse Spark 1.1 is significantly cheaper at $1.3/1M input vs $5.0/1M input. Muse Spark 1.1's 1M context window dwarfs GPT-5.6 Sol's 0 — a meaningful difference for long-document or codebase work.