GPT-3.5 Turbo Instruct
openai/gpt-3-5-turbo-instruct제공: OpenAI · 패밀리: gpt · 출시 2023-03-01 · 지식 컷오프: 2021-08
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding5
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability5/10
Agents5
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability5/10
JSON / structured output24
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume14/20
Cost efficiency50
- Headline price (log-scaled)50/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness64
- Number of independent providers25/40
- Has published per-token price20/20
- Context window ≥ 8K0/15
- No data inconsistencies across providers4/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $7.90 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $15.80 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $3.70 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $13.00 $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $17.88 $0.02 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: poe · openai/gpt-3.5-turbo-instruct
5곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Azure Cognitive Services azure-cognitive-services | gpt-3.5-turbo-instruct | $1.50 | $2.00 | 4K | 2023-09-21 |
| Azure azure | gpt-3.5-turbo-instruct | $1.50 | $2.00 | 4K | 2023-09-21 |
| Vercel AI Gateway vercel | openai/gpt-3.5-turbo-instruct | $1.50 | $2.00 | 8K | 2023-03-01 |
| Kilo Gateway kilo | openai/gpt-3.5-turbo-instruct | $1.50 | $2.00 | 4K | 2023-03-01 |
| Poe poe | openai/gpt-3.5-turbo-instruct | $1.40 | $1.80 | 4K | 2023-09-20 |
제공자 간 데이터 불일치
- context_window varies: 3500, 4095, 4096, 8192
- release_date varies (span 204d): 2023-03-01, 2023-09-20, 2023-09-21
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does GPT-3.5 Turbo Instruct cost?
GPT-3.5 Turbo Instruct costs $1.40 per 1M input tokens and $1.80 per 1M output tokens, sourced from poe. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of GPT-3.5 Turbo Instruct?
GPT-3.5 Turbo Instruct has a context window of 4K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-3.5 Turbo Instruct support tool calling?
No. GPT-3.5 Turbo Instruct does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does GPT-3.5 Turbo Instruct support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT-3.5 Turbo Instruct in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can GPT-3.5 Turbo Instruct accept image input?
No. GPT-3.5 Turbo Instruct only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GPT-3.5 Turbo Instruct open-weight?
No. GPT-3.5 Turbo Instruct is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to GPT-3.5 Turbo Instruct?
If GPT-3.5 Turbo Instruct doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More OpenAI models
- GPT OSS 120B$0.04 in / $0.16 out
- GPT OSS 20B$0.03 in / $0.14 out
- GPT-5.2$1.75 in / $14.00 out
- GPT-5 Mini$0.25 in / $2.00 out
- GPT-5$1.25 in / $10.00 out
마지막 업데이트:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.