High confidence
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
40
Score Trend
40/100
14-day history
API Pricing
$0.25/M in
$0.75/M out
Context Window
16.4K
4.1K max output
#363range #344-#378Top 96%
#1#379
Signal Overview
Score Breakdown
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Pricingjust now | 99 | 25% | +24.8 |
| Capabilitiesjust now | 67 | 30% | +20.0 |
| Context Windowjust now | 67 | 15% | +10.0 |
| Output Capacityjust now | 60 | 15% | +9.0 |
| Recencyjust now | 0 | 15% | +0.0 |
Capabilities
Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output
Modalities
Input
text
Output
text
Recent OpenAI releases
View this model against the provider’s recent shipping cadence.
Reviews
Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.
Reviews
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Frequently Asked Questions
GPT-3.5 Turbo (batch) by OpenAI excels in the Coding category, where it ranks #363 with a composite score of 40/100. GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks.
Training data up to Sep 2021. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
GPT-3.5 Turbo (batch) is priced at $0.25 per million input tokens and $0.75 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, GPT-3.5 Turbo (batch) holds rank #363 out of 378 models tracked. Its quality rank is #363 and adoption rank is #363. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
GPT-3.5 Turbo (batch) has been evaluated across 5 different signals. Its strongest areas include Capabilities (67/100), Pricing (99/100), Context Window (67/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 40/100 reflects a weighted combination of all tracked signals.
GPT-3.5 Turbo (batch) is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check OpenAI's website for current free tier availability and promotional offers.
GPT-3.5 Turbo (batch) supports a 16K token context window (16,385 tokens total). That translates to roughly 12,289 words in a single prompt. Best suited for shorter prompts and focused tasks where you do not need to load massive context.
GPT-3.5 Turbo (batch) can generate up to 4K output tokens (4,096 tokens) per response. That is roughly 3,072 words. Sufficient for typical conversations, code snippets, and summaries.
GPT-3.5 Turbo (batch) supports function/tool calling, structured JSON output, web search, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.
GPT-3.5 Turbo (batch) was developed by OpenAI. It was released on May 28, 2023. You can access it through OpenAI's API. Check our provider page for all models from OpenAI and how they compare against each other.
Pick GPT-3.5 Turbo (batch) when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access GPT-3.5 Turbo (batch) through OpenAI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.
Key Info
Data updated: Aug 8, 2026Status: Jul 9, 2026
Pricing Tools
Pricingper 1M tokens
Best value
92% cheaper than category average
Input
$0.25
-90% vs avg
Output
$0.75
-94% vs avg
Cost Estimator
Input: 70%Output: 30%
Est. monthly cost$4.00
Category average$53.52
You save $49.52/month vs category average
Access & Availability
Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed
Why This Rank
+Pricing
+Capabilities
+Context Window
+Output Capacity