This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

OpenAI has launched a newer model, GPT-4. We suggest considering it instead.

For more information, see comparison of GPT-4 to other models and API provider benchmarks for GPT-4.

GPT-3.5 Turbo logo
OpenAI
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Proprietary model

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Released November 2022

GPT-3.5 Turbo API Provider Benchmarking & Analysis

Model Comparison

Analysis of API providers for GPT-3.5 Turbo across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include OpenAI.

Fastest

Output speed

Total 1 providers

Lowest Latency

Time to first token

Total 1 providers

Lowest Price

#1
OpenAIOpenAI
$0.60

Blended price (per 1M tokens)

Total 1 providers

GPT-3.5 Turbo is available through OpenAI.

Benchmarks of providers are not available for this model.
Please see the models page for GPT-3.5 Turbo for details of the model and its intelligence compared to other models.

Highlights

Speed

Output tokens per second · Higher is better
No data available

End-to-End Response Time

Seconds · Lower is better
No data available

Price

USD per 1M tokens (blended) · Lower is better

Pricing

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Speed

Measured by Output Speed (tokens per second)

Output Speed: GPT-3.5 Turbo

Output speed: output tokens per second · 10,000 input tokens
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latency

Measured by Time (seconds) to First Token

Time to First Token

Seconds to first token received · Lower is better · 10,000 input tokens
No data available

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

End-to-End Response Time

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens
No data available

Seconds to receive a 500 token response. Key components:

  • Input time: Time to receive the first response token
  • Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
  • Answer time: Time to generate 500 output tokens, based on output speed

Key Comparison Metrics & API Features

OpenAI logoOpenAI
4.1k
Proprietary
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Frequently Asked Questions

Common questions about GPT-3.5 Turbo providers

GPT-3.5 Turbo is available through 1 API provider: OpenAI. Each provider offers different performance characteristics and pricing.

GPT-3.5 Turbo is currently available through 1 API provider that we benchmark and track.

The most affordable provider for GPT-3.5 Turbo by blended price is OpenAI ($0.60 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.

The provider with the lowest input token pricing for GPT-3.5 Turbo is OpenAI ($0.50 per 1M input tokens).

The provider with the lowest output token pricing for GPT-3.5 Turbo is OpenAI ($1.50 per 1M output tokens).

All 1 providers of GPT-3.5 Turbo support JSON mode for structured output.

All 1 providers of GPT-3.5 Turbo support function calling (tool use).

When choosing a provider for GPT-3.5 Turbo, consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.

Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.

For information about GPT-3.5 Turbo's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview