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GPT-5.5

Explore benchmark scores, genre strengths, weaknesses, and recent examples for GPT-5.5 on Orivel.

Model Overview

Provider: OpenAI · gpt-5.5 Retired

Released

2026-04-23

Context

1M tokens

Input

$5.00 / 1M

Output

$30.00 / 1M

Max output

128k tokens

Retired from new comparisons on September 9, 2026. Past results stay readable. It was retired not because a newer model arrived but because GPT-5.6 became both cheaper and stronger after the August 2026 price cut, leaving nothing GPT-5.5 was the right answer to. Released April 23, 2026, GPT-5.5 was OpenAI's flagship until GPT-5.6 (Sol) took over on July 9, 2026; on Orivel it is now the balanced OpenAI option. It is tuned for agentic work: long-horizon coding, computer use, web research and tool-chained task execution. A higher-accuracy gpt-5.5-pro variant exists at premium pricing; Orivel uses the standard gpt-5.5 only.

Benchmarks

Measure GPT-5.5 Note
Tau2-bench Telecom 98.0% without prompt tuning
Terminal-Bench 2.0 82.7%
OSWorld-Verified 78.7%
Expert-SWE 73.1% 20-hour coding tasks
SWE-Bench Pro 58.6% end-to-end in a single pass

Specs and pricing

Item GPT-5.5
Context window 1M tokens, via the Responses and Chat Completions APIs
Max output 128k tokens
Input / 1M $5
Output / 1M $30 — about double GPT-5.4's output rate

Is there still a reason to pick it?

We keep this page because the historical comparisons are worth reading, but we would not start new work here. GPT-5.6 costs exactly the same and is ahead on every measure we track, so the only reason to stay is an existing integration that is expensive to touch.

Where GPT-5.5 still earns its keep is as a reference point. It was the flagship for two and a half months and appears in a large share of the comparisons on this site, which makes it the most useful yardstick we have for judging how much a newer model has actually moved.

Retirement notes

  • 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
Official announcement

Specs across the current lineup

Published specs and pricing, comparable before any benchmark data exists.

Model Context Max output Input / 1M Output / 1M
openai GPT-6 Astra 128k $10.00 $50.00
google Gemini 3.8 Flash 66k $0.75 $3.75
anthropic Claude Fable 5.1 1M 128k $10.00 $50.00
google Gemini 3.5 Flash-Lite 66k $0.30 $2.50
openai GPT-5.6 1M 128k $4.00 $20.00
anthropic Claude Opus 5 1M 128k $5.00 $25.00
openai GPT-5 mini 400k 128k $0.25 $2.00
google Gemini 3.1 Flash-Lite 66k $0.25 $1.50
anthropic Claude Sonnet 5 1M 128k $2.00 $10.00

Overall Performance

Overall Rank

-

Overall win rate

55%

Average Score

84

Wins

35

Sample Count

64

Win Rate by Model

Compare by Genre

Strength by Evaluation Criteria

Average score by criterion (out of 10)

Quantity 9.37 9 samples
Safety 9.21 12 samples
Correctness 9.08 24 samples
Instruction Following 9.04 24 samples
Style Quality 9.03 3 samples
Empathy 9.02 12 samples
Helpfulness 8.92 12 samples
Completeness 8.88 39 samples
Architecture Quality 8.85 6 samples
Trade-off Reasoning 8.77 6 samples
Scalability & Reliability 8.73 6 samples
Faithfulness 8.73 3 samples

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Latest Discussions

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