GPT-3.5 Turbo Instruct Pricing
BalancedOpenAI · 4K tokens context
GPT-3.5 Turbo Instruct from OpenAI costs $1.50 per 1 million input tokens and $2.00 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 4,095-token context window (approximately 3,071 words) with a 4K-token maximum output. A typical 1,000-token request costs $0.0015 in input charges; a 10,000-token request costs $0.0150.
| Input price | $1.50 / 1M tokens |
|---|---|
| Output price | $2.00 / 1M tokens |
| Output / input ratio | 1.3× |
| Context window | 4,095 tokens (~3,071 words) |
| Maximum output | 4,096 tokens |
| Cost per 1K tokens (input) | $0.0015 |
| Tier | Balanced |
| Last verified |
This model is a variant of GPT-3. 5 Turbo tuned for instructional prompts and omitting chat-related optimizations.
Input Price
$1.50
per 1 million tokens
Output Price
$2.00
per 1 million tokens
Context Window
4K tokens
max 4K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.002 | $0.0008 |
| 10-page document (2,500 words) | 3,333 | $0.005 | $0.002 |
| 1,000 lines of code | 5,000 | $0.0075 | $0.003 |
| 100K token document | 100,000 | $0.15 | $0.06 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Strong general-purpose performance
- ✓Strong general-purpose performance
- ✓Strong general-purpose performance
Limitations
- –Smaller 4K-token context limits long-document use
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate GPT-3.5 Turbo Instruct Costs
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