Claude Opus 4.8
VS
GPT-5.5
Claude Opus 4.8 vs GPT-5.5: which wins at real work?
22 task areas · same graded test runs · rank comparison only, so 0–100 and Elo collections never mix raw scores.
GPT-5.5 wins 12 of 22 task areas we tested; Claude Opus 4.8 takes 10. Claude Opus 4.8 costs 1.2× less per token ($30 vs $35 per 1M).
Claude Opus 4.8 costs 1.2× less per token ($30 vs $35 per 1M).
Task by task
| Task area | Claude Opus 4.8 | GPT-5.5 | Winner |
|---|---|---|---|
| Training & Education |
#2
/ 107
Excellent
|
#59
/ 107
Excellent
|
Claude Opus 4.8 |
| AI Strategy |
#3
/ 126
Strong
|
#59
/ 126
Strong
|
Claude Opus 4.8 |
| Structured Output |
#56
/ 110
Excellent
|
#3
/ 110
Excellent
|
GPT-5.5 |
| Data & Analytics |
#2
/ 110
Excellent
|
#46
/ 110
Excellent
|
Claude Opus 4.8 |
| Sales |
#1
/ 107
Strong
|
#40
/ 107
Usable
|
Claude Opus 4.8 |
| Translation & Localization |
#34
/ 107
Excellent
|
#3
/ 107
Excellent
|
GPT-5.5 |
| Presentations & Decks |
#30
/ 107
Excellent
|
#2
/ 107
Excellent
|
GPT-5.5 |
| Landing Pages |
#28
/ 69
Strong
|
#4
/ 69
Strong
|
GPT-5.5 |
| Summarization & Meeting Notes |
#32
/ 107
Excellent
|
#8
/ 107
Excellent
|
GPT-5.5 |
| Content & Brand |
#15
/ 124
Strong
|
#2
/ 124
Strong
|
GPT-5.5 |
| Investor & Pitch |
#22
/ 63
Strong
|
#12
/ 63
Strong
|
GPT-5.5 |
| Creative & Comedy | #11 / 107 | #2 / 107 | GPT-5.5 |
| Frontend & Landing Pages |
#18
/ 106
Needs editing
|
#10
/ 106
Needs editing
|
GPT-5.5 |
| Product & Project Management |
#2
/ 107
Excellent
|
#8
/ 107
Excellent
|
Claude Opus 4.8 |
| Customer Support |
#7
/ 113
Strong
|
#2
/ 113
Strong
|
GPT-5.5 |
| Chef / Home Cooking |
#8
/ 126
Strong
|
#4
/ 126
Strong
|
GPT-5.5 |
| Legal & HR |
#5
/ 107
Excellent
|
#9
/ 107
Excellent
|
Claude Opus 4.8 |
| Knowledge & Docs |
#2
/ 107
Excellent
|
#5
/ 107
Excellent
|
Claude Opus 4.8 |
| RAG, Safety & Grounding |
#11
/ 110
Excellent
|
#14
/ 110
Excellent
|
Claude Opus 4.8 |
| Coding |
#3
/ 115
Excellent
|
#1
/ 115
Excellent
|
GPT-5.5 |
| Executive Assistant |
#7
/ 109
Strong
|
#9
/ 109
Strong
|
Claude Opus 4.8 |
| Research & Competitive Analysis |
#5
/ 107
Excellent
|
#7
/ 107
Excellent
|
Claude Opus 4.8 |
Rank = position among every model config we tested in that task area (lower is better). Sorted by biggest gap first.
Same task, both models — judged
Both models answered the same test case; an independent judge graded each. Quotes are the judge's actual rationale.
Presentations & Decks
Right chart for a comparison (Cedar & Sage) (Honest Data Slide)
“While the model correctly recommends a horizontal bar chart, advises against chartjunk, and specifies a zero-based axis, it completely fails the honest data requirement. The suggested takeaway titles are mathematically incorrect and overstate the data. Furthermore, the response relies on topic labels for its own structure.”
“The model perfectly executes the prompt's requirements. It leads with a clear, answer-first recommendation, provides a strong action title that accurately reflects the data, and includes specific design notes that ensure data honesty (zero-based axis, no false precision, no chartjunk).”
Frequently asked
Is Claude Opus 4.8 better than GPT-5.5?
Across 22 task areas we benchmarked, GPT-5.5 ranks higher in 12 and Claude Opus 4.8 in 10.
Which is cheaper, Claude Opus 4.8 or GPT-5.5?
Claude Opus 4.8 costs 1.2× less per token ($30 vs $35 per 1M).
What is Claude Opus 4.8 better at?
Claude Opus 4.8 out-ranks GPT-5.5 at Training & Education, AI Strategy, Data & Analytics.
What is GPT-5.5 better at?
GPT-5.5 out-ranks Claude Opus 4.8 at Structured Output, Translation & Localization, Presentations & Decks.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals