GPT-5.5 Pro
GPT-5.5 Pro is an OpenAI proprietary reasoning model, released 23 Apr 2026. Its best configuration (xhigh reasoning effort) ranks #39 of 775 on the BenchLeader Index at 65.3 ±8.3, in the upper half. The ± is the point: 193 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (78) and lowest in maths (71). At $67.50 per million tokens blended it is among the most expensive ranked models. Output speed of 23 tokens per second puts it in the slowest quarter, with a first token in 4.3 s. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 23 Apr 2026.stale: no new result in six months
- Blended price
- $67.50/M
- $30.00 in · $180.00 out
- Output speed
- 23 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 4.35 s
- Context
- 1.1M
- Full answer
- –
- Cost per run
- –
- Released
- 23 Apr 2026
- Overall index65
- Reasoning78
- Maths71
Versions
OpenAI has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.
| Model | Released | Index | Rank |
|---|---|---|---|
| GPT-5.5 Proxhighthis page | 23 Apr 2026 | 65.3 | #39 |
| GPT-5.4 Pro | 4 Mar 2026 | 63.5 | #62 |
| GPT-5.2 Proxhigh | 11 Dec 2025 | – | – |
| GPT-5 Pro | 7 Aug 2025 | 59.8 | #123 |
Reasoning-effort configurations
The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.
| Effort | Index | Rank | Speed | First answer | Chat reply cost | Categories |
|---|---|---|---|---|---|---|
| high | – | – | 23 tok/s | 4.35 s | $0.066 | Reasoning 70 |
| xhighbest | 65.3 | #39 | 23 tok/s | 4.35 s | $0.066 | Maths 71 · Reasoning 78 |
| not stated | – | – | 23 tok/s | 4.35 s | $0.066 | Reasoning 73 |
How its index has moved
19 Sept 2026 to 18 Oct 2026The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | high | xhigh | not stated | Source | Trend |
|---|---|---|---|---|---|
| SimpleBench | 76.9%#4 | – | 76.9%#4 | SimpleBench | |
| ARC-AGI-1 | 96.5%#23 | 95.0%#35 | – | ARC Prize | |
| ARC-AGI-2 | 84.6%#31 | 84.2%#34 | – | ARC Prize | |
| CritPt | – | 30.6%#14 | – | Artificial Analysis | |
| Chess Puzzlesnot in index | – | 62.0%#8 | – | Epoch AI Benchmarking Hub | |
| LMCAnot in index | – | 53.9%#48 | – | Epoch AI Benchmarking Hub | |
| DTBenchnot in index | – | 96.0%#30 | – | Epoch AI Benchmarking Hub |
Maths
| Benchmark | xhigh | Source | Trend |
|---|---|---|---|
| FrontierMath Tiers 1–3 | 87.7%#8 | Epoch AI Benchmarking Hub | |
| FrontierMath Tier 4 | 78.0%#15 | Epoch AI Benchmarking Hub |
Composite
| Benchmark | not stated | Source | Trend |
|---|---|---|---|
| Epoch Capabilities Indexnot in index | 162.9#10 | Epoch AI Benchmarking Hub |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| OpenAI | 23 tok/s | 4.57 s | $30.00 | $180.00 | 1.1M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.066 | – | 17.4 s |
| Summarize a 30-page report | 12,000 / 600 | $0.468 | – | 30.4 s |
| Code edit | 6,000 / 1,500 | $0.450 | – | 1.2 min |
| Agentic coding session | 60,000 / 4,000 | $2.52 | – | 3.0 min |
| Structured extraction | 2,000 / 200 | $0.096 | – | 13.0 s |
More from OpenAI
Compare GPT-5.5 Pro with…
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- GPT-5.5 Pro vs GPT-5.5
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- GPT-5.5 Pro vs GPT-5.4
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- GPT-5.5 Pro vs Muse Spark
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- GPT-5.5 Pro vs Grok 4.6
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- GPT-5.5 Pro vs GPT-5.3-Codex
- GPT-5.5 Pro vs GLM 5.3
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- GPT-5.5 Pro vs GPT-5.4 Pro
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- GPT-5.5 Pro vs Claude Opus 4.8
- GPT-5.5 Pro vs Qwen3.8 Max
- GPT-5.5 Pro vs Gemini 3.5 Flash
- GPT-5.5 Pro vs Muse Spark 1.2
- GPT-5.5 Pro vs Qwen3.8 2.4T A95B
- GPT-5.5 Pro vs DeepSeek V4.1 Flash 1017
- GPT-5.5 Pro vs Muse Spark 1.1
- GPT-5.5 Pro vs Claude Opus 4.6
- GPT-5.5 Pro vs GLM 5.3 Flash
- GPT-5.5 Pro vs DeepSeek V4 Pro
- GPT-5.5 Pro vs GLM 5.2
- GPT-5.5 Pro vs Qwen3.6 Max
See also
Data as of 21 Oct 2026. Compare these configurations.
Cite as: BenchLeader, “GPT-5.5 Pro: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/gpt-5-5-pro, data as of 21 Oct 2026.