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.

GPT-5.6 Sol vs Claude Opus 4.8

GPT-5.6 Sol3stats won
Tied0stats
Claude Opus 4.84stats won
Spec showdown

Capacity, price, freshness.

GPT-5.6 SolvsClaude Opus 4.8

Claude Opus 4.8 holds a narrow composite edge (73 vs 66), but the gap is small enough that other factors matter more. GPT-5.6 Sol has the higher Vals/AA intelligence score (73 vs 70). GPT-5.6 Sol is significantly cheaper at $5.0/1M input vs $15/1M input. Claude Opus 4.8's 1M context window dwarfs GPT-5.6 Sol's 0 — a meaningful difference for long-document or codebase work.

  1. Composite score
    GPT-5.6 Sol66Claude Opus 4.873Winner on this row
  2. Intelligence (Vals/AA)
    GPT-5.6 Sol73Winner on this rowClaude Opus 4.870
  3. Context window
    GPT-5.6 SolUnlistedClaude Opus 4.81MWinner on this row
  4. Max output
    GPT-5.6 SolClaude Opus 4.8128KWinner on this row
  5. Input price / 1M (lower wins)
    GPT-5.6 Sol$5.0Winner on this rowClaude Opus 4.8$15
  6. Output speed (AA default API)
    GPT-5.6 Sol67 t/sWinner on this rowClaude Opus 4.863 t/s
  7. Time to first token (AA default API)
    GPT-5.6 Sol76.91sClaude Opus 4.830.13sWinner on this row
Composite score
66
vs
73Winner on this row
Intelligence (Vals/AA)
73Winner on this row
vs
70
Context window
Unlisted
vs
1MWinner on this row
Max output
vs
128KWinner on this row
Input price / 1M (lower wins)
$5.0Winner on this row
vs
$15
Output speed (AA default API)
67 t/sWinner on this row
vs
63 t/s
Time to first token (AA default API)
76.91s
vs
30.13sWinner on this row
Capability grid

What each model can do.

Modalities

GPT-5.6 SolClaude Opus 4.8
Text
Image
Audio
Video
Code
Tool use
Reasoning

Access

GPT-5.6 SolClaude Opus 4.8
API
Consumer app
Open weights
Managed cloud
On-device
Family radar

Top score per benchmark family.

Reasoning
94Winner on this row
vs
80
Coding
56
vs
96Winner on this row
Agentic
88
vs
100Winner on this row
Long context
74Winner on this row
vs
58
Benchmark ranks

Every shared benchmark, side by side.

Reasoning

Artificial Analysis Intelligence Index#2/67 · #4/67
58.9%Winner on this row
vs
55.7%
GPQA Diamond#3/69 · #51/69
94.1%Winner on this row
vs
79.8%
Humanity's Last Exam#2/65 · #3/65
47.2%Winner on this row
vs
45.7%
IFBench#27/57 · #41/57
72.65%Winner on this row
vs
62.24%

Coding

SciCode#8/65 · #14/65
56.1%Winner on this row
vs
53.5%

Agentic

Terminal-Bench#1/69 · #17/69
88.01%Winner on this row
vs
74.6%
Vals Index#4/20 · #5/20
73.1%Winner on this row
vs
70.4%
τ³-Bench Banking#21/64 · #30/64
32.99%Winner on this row
vs
27.63%

Long context

AA-LCR#8/64 · #48/64
73.67%Winner on this row
vs
58.3%

Performance

AA output speed#42/69 · #45/69
67 t/sWinner on this row
vs
63 t/s
AA time to first token#6/69 · #13/69
76.91s
vs
30.13sWinner on this row
Dossier facts

Dates, sources, fineprint.

GPT-5.6 SolClaude Opus 4.8
ProviderOpenAIAnthropic
FamilyGPT-5.6Claude Opus
Release date2026-07-092026-05-28
Knowledge cutoffunpublished2026-02-01
Context windowUnlisted1M
Max output128K
Input price /1M$5.0$15
Output price /1M$30$75
Statusflagshipflagship
Composite score6673
Intelligence score7370
Intel sourcevalsvals
Benchmark rows1126
Source count212
Freshnessfreshfresh
Pricing checked2026-07-192026-06-01
Ecosystem

Which tools wrap each model.

GPT-5.6 Sol

Not listed in any tool yet.

Verdict

Which model to actually pick.

Claude Opus 4.8 holds a narrow composite edge (73 vs 66), but the gap is small enough that other factors matter more. GPT-5.6 Sol has the higher Vals/AA intelligence score (73 vs 70). GPT-5.6 Sol is significantly cheaper at $5.0/1M input vs $15/1M input. Claude Opus 4.8's 1M context window dwarfs GPT-5.6 Sol's 0 — a meaningful difference for long-document or codebase work.