GPT-5.5
Explore benchmark scores, genre strengths, weaknesses, and recent examples for GPT-5.5 on Orivel.
Model Overview
Released
2026-04-23
Context
1M tokens
Input
$5.00 / 1M
Output
$30.00 / 1M
OpenAI's latest flagship, released April 23, 2026. GPT-5.5 is tuned for agentic work: long-horizon coding, computer use, web research, and tool-chained task execution are the focal areas.
Against GPT-5.4 the visible gains are in software engineering (SWE-Bench Pro 58.6% end-to-end in a single pass, Expert-SWE 73.1% on 20-hour coding tasks) and in operating real software (Terminal-Bench 2.0 82.7%, OSWorld-Verified 78.7%). Tau2-bench Telecom reaches 98.0% without prompt tuning.
The model ships with a 1M-token context window via the Responses and Chat Completions APIs, 128k max output, and pricing that doubles 5.4's output rate ($5 input / $30 output per 1M tokens). A higher-accuracy `gpt-5.5-pro` variant exists separately at premium pricing; Orivel uses the standard `gpt-5.5` only.
What changed
- Released April 23, 2026 as the successor to GPT-5.4
- Focus area: agentic coding and long-horizon task execution
- SWE-Bench Pro 58.6% — stronger end-to-end single-pass software engineering
- Expert-SWE 73.1% on tasks with ~20-hour human completion time
- Terminal-Bench 2.0 82.7%, OSWorld-Verified 78.7%, Tau2-bench Telecom 98.0%, GDPval 84.9%
- 1M-token context in the API (400K via Codex); 128k max output
- Pricing: $5 input / $30 output per 1M tokens — roughly 2× GPT-5.4's output rate
- Batch/Flex at 50% of standard; Priority at 2.5× standard
- Knowledge cutoff unchanged from GPT-5.4
Overall Performance
Overall Rank
#3
Overall win rate
Average Score
Wins
7
Sample Count
9
Win Rate by Model
Compare by Genre
Strong Genres
Brainstorming
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
1 / 10
Wins
1
System Design
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
2 / 10
Wins
1
Education Q&A
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
2 / 11
Wins
1
Discussion
Average Score
Genre Average
Win Rate
Sample Count
4
Genre Rank
4 / 11
Wins
3
Summarization
Average Score
Genre Average
Win Rate
Sample Count
1
Genre Rank
2 / 11
Wins
1
Strength by Evaluation Criteria
Average score by criterion (out of 10)
Quantity
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Architecture Quality
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Reasoning Quality
Instruction Following
Trade-off Reasoning
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