How much do GPT-3.5 Turbo Instruct cost per month?

For an example workload of 20 million input tokens and 5 million output tokens per month: GPT-3.5 Turbo Instruct: $40. These are token-only estimates using the displayed rates, without caching discounts, additional tool charges or taxes. Actual bills depend on usage and endpoint pricing.

Which has a larger context window: GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct: 4K tokens of context; maximum output 4K tokens. Context capacity and maximum output are separate limits. A larger context window allows more material in a request but does not guarantee more accurate answers.

Which is better for coding: GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct: Artificial Analysis SciCode not listed. Compare coding results within the same evaluation, then test representative tasks from your own codebase. A missing score is not a zero, and a single benchmark does not establish the best model for every programming task.

How do Arena Elo, DesignArena, Intelligence Index and MMLU-Pro differ?

These evaluations measure different tasks and use different scales. Arena Elo and DesignArena ratings must remain separate, as must Artificial Analysis Intelligence Index and MMLU-Pro. Compare models within the same evaluation rather than combining scores. Missing results are marked Not listed, not treated as measured zeroes.

Which responds faster: GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct: Artificial Analysis output speed not listed; time to first token not listed. Output speed measures generation throughput, while time to first token measures the initial wait. Real-world latency also depends on the API provider, request size and load; missing measurements cannot establish a speed winner.

Do GPT-3.5 Turbo Instruct support images, audio or video?

GPT-3.5 Turbo Instruct: listed input formats: text; output formats: text. Input and output support are different capabilities: accepting an image does not mean a model generates images. Confirm formats and file limits for the endpoint you plan to use.

Do GPT-3.5 Turbo Instruct support tool calling and structured outputs?

GPT-3.5 Turbo Instruct: listed features: Structured outputs, JSON mode, Log probabilities, Deterministic seed. Only recorded capabilities are shown; an unlisted feature is not proof that it is unsupported. Availability can vary by API provider, so confirm tool calling and JSON schema support for your chosen endpoint.

Can prompt caching reduce the cost of GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct: cached input price not listed. Caching may reduce charges for eligible repeated input when supported by the endpoint. A listed cached rate does not guarantee every request qualifies; cache duration, minimum token counts and any write charges depend on the provider.

Are GPT-3.5 Turbo Instruct available through an API?

GPT-3.5 Turbo Instruct: catalog status active; API identifier gpt-3.5-turbo-instruct; listed API hosts OpenAI. Catalog status is not a live availability check. Before integrating, verify the provider's documentation, endpoint access, rate limits, regional availability and data-handling terms.

Models, measured side by side

GPT-3.5 Turbo Instruct compared to other AI models

Compare GPT-3.5 Turbo Instruct by token pricing, context length, benchmark results, speed and tool support.

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Comparison FAQ

GPT-3.5 Turbo Instruct: $1.50 input and $2.00 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.

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