Context Window
16,385
Input tokens
Full-context input ≈ $0.01
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/gpt-3.5-turbo
Pricing updated Apr 24, 2026
Live Pricing
Input: $0.5000
Output: $1.50
Last synced Apr 24, 2026 · MMLU score via public benchmark data
OpenAI's GPT-3.5 Turbo offers a robust context window of 16,385 tokens, making it suitable for applications that require extensive text analysis, such as content generation and conversational agents. Teams leveraging this API model can expect input costs of $0.50 per million tokens and output costs of $1.50 per million tokens, which can significantly impact budgeting for high-volume projects. Its efficiency in processing large datasets allows businesses to enhance user engagement and streamline workflows across various industries.
Provider Compliance
Context Window
16,385
Input tokens
Full-context input ≈ $0.01
Max Output
4,096
Completion tokens
Input Price / 1M
$0.5000
Prompt tokens
Output Price / 1M
$1.50
Completion tokens
Top Benchmark
46.2
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: GPT-3.5 Turbo. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.5000
Current Output / 1M
$1.50
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.5000 |
| Output (Completion) | $1.50 |
Estimate monthly spend for OpenAI: GPT-3.5 Turbo based on your workload.
Estimated Monthly Cost
$31
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.