Claude Opus 4.8vsGPT-5.5
Across 4 shared benchmarks, Claude Opus 4.8 leads overall: Claude Opus 4.8 wins 4, GPT-5.5 wins 0, with 0 ties and an average score difference of +35.50.
Claude Opus 4.8
Anthropic · 2026-05-28 · Reasoning model
GPT-5.5
OpenAI · 2026-04-23 · Reasoning model
Claude Opus 4.84 wins(100%)(0%)0 winsGPT-5.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
AI Agent - Tool Usage
Claude Opus 4.8 1/1| Benchmark | Claude Opus 4.8 | GPT-5.5 | Diff |
|---|---|---|---|
| OSWorld-Verified | 83.401 / 16Extended (with tools) | 78.703 / 16Thinking High (With Tools) | +4.70 |
Coding and Software Engineer
Claude Opus 4.8 1/1| Benchmark | Claude Opus 4.8 | GPT-5.5 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 69.202 / 41Extended (with tools) |
Specs
| Field | Claude Opus 4.8 | GPT-5.5 |
|---|---|---|
| Publisher | Anthropic | OpenAI |
| Release date | 2026-05-28 | 2026-04-23 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | 0.0 | 0.0 |
| Context length | 1M | 1000K |
| Max output | 128000 | 131072 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Claude Opus 4.8 | GPT-5.5 |
|---|---|---|
| Text input | $5 / 1M tokens | $0.5 / 1M tokens |
| Text output | $25 / 1M tokens | $30 / 1M tokens |
| Cache read | $0.5 / 1M tokens | $0.5 / 1M tokens |
| Cache write | $6.25 / 1M tokens | $6.25 / 1M tokens |
Summary
- Claude Opus 4.8leads in:AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), General Knowledge (1/1), Productivity Knowledge (1/1)
On average across the 4 shared benchmarks, Claude Opus 4.8 scores 35.50 higher.
Largest single-benchmark gap: GDPval-AA — Claude Opus 4.8 1,890 vs GPT-5.5 1,769 (+121).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.