Intelligence
4 scoreOpenAI · Flagships Analysis
GPT-3.5 Turbo
Intelligence, Performance & Price Analysis
Canonical slug: gpt-35-turbo · Canonical model registry at build time
Input Price
$0.50 / 1M tokensOutput Price
$1.50 / 1M tokensExecutive Assessment
Routing Verdict & Tradeoffs
Ethen Routing Verdict
Budget-friendly / task-specific model
GPT-3.5 Turbo scores 4 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 11). GPT-3.5 Turbo costs $0.50 per 1M input tokens (at the higher end, median: $0.20) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.70), based on OpenAI's API.
Best for high-volume, simple, or domain-specific tasks where cost or speed matters more than deep reasoning.
Task Fit Assessment
| Workload | Rating | Notes |
|---|---|---|
| Complex reasoning & agentic workflows | suboptimal | Intelligence score 4 is better suited for straightforward tasks than multi-step reasoning. |
| Cost-sensitive pipelines | optimal | Output pricing at $1.50 is reasonable for moderate volume. |
Cost Pressure Analysis
Medium
Pricing is moderate — input $0.50, output $1.50. Costs accumulate at volume but are manageable for valuable tasks.
Technical Specifications
Architecture and Limits
| Specification | Value | Validation Authority |
|---|---|---|
| Model type | Proprietary | inferred |
| Reasoning | No | faq |
| Input modalities | GPT-3.5 Turbo supports text only input. | faq |
| Output modalities | GPT-3.5 Turbo supports text only output. | faq |
| Context window | GPT-3.5 Turbo has a context window of 4.1k tokens. This determines how much text and conversation history the model can process in a single request. | faq |
| Open weights / source | No, GPT-3.5 Turbo is proprietary. The model weights are not publicly available. | faq |
| Parameters | GPT-3.5 Turbo is a proprietary model and OpenAI has not disclosed the model size or parameter count. | faq |
| Knowledge cutoff | GPT-3.5 Turbo has a knowledge cutoff of September 2021. The model's training data includes information up to this date. | faq |
| API availability | Yes, GPT-3.5 Turbo 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.
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.
Methodology
Methodology & Provenance
This page is rendered from the normalized profile and page JSON for GPT-3.5 Turbo.
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.
Frequently Asked Questions
Model FAQs & Technical Disclosures
GPT-3.5 Turbo was released on November 30, 2022.
GPT-3.5 Turbo was created by OpenAI.
GPT-3.5 Turbo scores 4 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 11).
GPT-3.5 Turbo costs $0.50 per 1M input tokens (at the higher end, median: $0.20) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.70), based on OpenAI's API.
GPT-3.5 Turbo costs $0.50 per 1M input tokens and $1.50 per 1M output tokens (based on OpenAI's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.60 per 1M tokens. Pricing may vary by provider.
No, GPT-3.5 Turbo is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
GPT-3.5 Turbo supports text only input.
GPT-3.5 Turbo supports text only output.
No, GPT-3.5 Turbo does not support image input. It can only process text.
No, GPT-3.5 Turbo is not multimodal. It only supports text only input.
GPT-3.5 Turbo has a context window of 4.1k tokens. This determines how much text and conversation history the model can process in a single request.
No, GPT-3.5 Turbo is proprietary. The model weights are not publicly available.
GPT-3.5 Turbo is a proprietary model and OpenAI has not disclosed the model size or parameter count.
GPT-3.5 Turbo achieves a score of 4 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
GPT-3.5 Turbo has a knowledge cutoff of September 2021. The model's training data includes information up to this date.
Yes, GPT-3.5 Turbo is available via API through 1 provider.
GPT-3.5 Turbo is available through 1 API provider.