Intelligence
29 scoreOpenAI · Flagships Analysis
GPT-5.5 Instant (June 2026)
Intelligence, Performance & Price Analysis
Canonical slug: gpt-5-5-instant-06-26 · Canonical model registry at build time
Input Price
$5.00 / 1M tokensOutput Price
$30.00 / 1M tokensVerbosity
4.2M Output tokens from Intelligence Index 1 out of 4 units for Verbosity . CompExecutive Assessment
Routing Verdict & Tradeoffs
Ethen Routing Verdict
Strong general-purpose model
GPT-5.5 Instant (June 2026) scores 29 on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 28). GPT-5.5 Instant (June 2026) costs $5.00 per 1M input tokens (at the higher end, median: $1.50) and $30.00 per 1M output tokens (at the higher end, median: $8.40), based on OpenAI's API.
Suitable for most production tasks, but high-volume or repetitive work should still be compared against cheaper routes.
Task Fit Assessment
| Workload | Rating | Notes |
|---|---|---|
| Complex reasoning & agentic workflows | optimal | Intelligence score 29 supports capable reasoning, but very hard tasks may benefit from higher-tier models. |
| Cost-sensitive pipelines | viable | Output pricing at $30.00 is premium. Route high-volume simple tasks to cheaper alternatives. |
Cost Pressure Analysis
High
Pricing is premium — input $5.00, output $30.00. This model is expensive for high-volume or output-heavy workloads.
Technical Specifications
Architecture and Limits
| Specification | Value | Validation Authority |
|---|---|---|
| Model type | Proprietary | inferred |
| Reasoning | Yes | faq |
| Input modalities | GPT-5.5 Instant (June 2026) supports text and image input. | faq |
| Output modalities | GPT-5.5 Instant (June 2026) supports text output. | faq |
| Context window | 400k tokens | faq |
| Open weights / source | No, GPT-5.5 Instant (June 2026) is proprietary. The model weights are not publicly available. | faq |
| Parameters | GPT-5.5 Instant (June 2026) is a proprietary model and OpenAI has not disclosed the model size or parameter count. | faq |
| Knowledge cutoff | GPT-5.5 Instant (June 2026) has a knowledge cutoff of August 2025. The model's training data includes information up to this date. | faq |
| API availability | Yes, GPT-5.5 Instant (June 2026) is available via API through 1 provider. | faq |
Evidence charts
Profile visualizations
Charts are the same canonical evidence cards previously published for this slug, contained inside the D18D page grammar.
AA-Omniscience Index
AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Bars intentionally show many models at once so the page feels like a benchmark report rather than a dashboard.
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Speed should be read together with latency and cost; fast output does not always mean better user-perceived performance.
Context Window
Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Larger context windows enable complex multi-turn tasks but may increase latency and cost for long inputs.
Cost per Intelligence Index Task
Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Ethen Gateway should route away from this model when the task is simple, repetitive, or likely to generate many output tokens.
Cost per Task
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Ethen Gateway should route away from this model when the task is simple, repetitive, or likely to generate many output tokens.
Cost to Run Artificial Analysis Intelligence Index
Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Ethen Gateway should route away from this model when the task is simple, repetitive, or likely to generate many output tokens.
Pricing: Cache Hit, Input, and Output
Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Bars intentionally show many models at once so the page feels like a benchmark report rather than a dashboard.
Output Tokens per Intelligence Index Task
Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Retrieved 2026-07-08
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Higher values indicate stronger overall capability. Bars show how models compare on composite intelligence metrics.
Methodology
Methodology & Provenance
This page is rendered from the normalized profile and page JSON for GPT-5.5 Instant (June 2026).
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.
Frequently Asked Questions
Model FAQs & Technical Disclosures
GPT-5.5 Instant (June 2026) was released on June 25, 2026.
GPT-5.5 Instant (June 2026) was created by OpenAI.
GPT-5.5 Instant (June 2026) scores 29 on the Artificial Analysis Intelligence Index, placing it above average among other reasoning models in a similar price tier (median: 28).
GPT-5.5 Instant (June 2026) costs $5.00 per 1M input tokens (at the higher end, median: $1.50) and $30.00 per 1M output tokens (at the higher end, median: $8.40), based on OpenAI's API.
GPT-5.5 Instant (June 2026) costs $5.00 per 1M input tokens and $30.00 per 1M output tokens (based on OpenAI's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $4.35 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, GPT-5.5 Instant (June 2026) generated 4.2M output tokens, which is very competitive compared to other reasoning models in a similar price tier (median: 72M).
Yes, GPT-5.5 Instant (June 2026) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
GPT-5.5 Instant (June 2026) supports text and image input.
GPT-5.5 Instant (June 2026) supports text output.
Yes, GPT-5.5 Instant (June 2026) supports image input and can analyze, describe, and answer questions about images.
Yes, GPT-5.5 Instant (June 2026) is multimodal. It can process text and image input and generate text output.
GPT-5.5 Instant (June 2026) has a context window of 400k tokens. This determines how much text and conversation history the model can process in a single request.
No, GPT-5.5 Instant (June 2026) is proprietary. The model weights are not publicly available.
GPT-5.5 Instant (June 2026) is a proprietary model and OpenAI has not disclosed the model size or parameter count.
GPT-5.5 Instant (June 2026) achieves a score of 29 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
GPT-5.5 Instant (June 2026) has a knowledge cutoff of August 2025. The model's training data includes information up to this date.
Yes, GPT-5.5 Instant (June 2026) is available via API through 1 provider.
GPT-5.5 Instant (June 2026) is available through 1 API provider.