GPT-3.5-turbo
openai/gpt-3-5-turbo提供： OpenAI · ファミリー: gpt · リリース 2023-03-01 · 知識カットオフ: 2021-09-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
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.
Coding7
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability7/10
Agents7
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability7/10
JSON / structured output26
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume16/20
Cost efficiency60
- Headline price (log-scaled)55/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness82
- Number of independent providers35/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- 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 | $3.25 < $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 | $6.50 < $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 | $1.75 < $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 | $5.50 < $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 | $6.90 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): openai · gpt-3.5-turbo
最安プロバイダー: poe · $0.450 入力 + $1.40 出力
7 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| OpenAI openai | gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2023-03-01 |
| Vercel AI Gateway vercel | openai/gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2023-03-01 |
| NanoGPT nano-gpt | openai/gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2022-11-30 |
| Kilo Gateway kilo | openai/gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2023-03-01 |
| Cloudflare AI Gateway cloudflare-ai-gateway | openai/gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2023-03-01 |
| Poe poe | openai/gpt-3.5-turbo | $0.450 | $1.40 | 16K | 2023-09-13 |
| LLM Gateway llmgateway | gpt-3.5-turbo | $0.500 | $1.50 | 16K | 2023-03-01 |
プロバイダー間でデータに差異
- context_window varies: 16384, 16385
- release_date varies (span 287d): 2022-11-30, 2023-03-01, 2023-09-13
- modalities varies across offerings
プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。
Frequently asked questions
How much does GPT-3.5-turbo cost?
GPT-3.5-turbo costs $0.500 per 1M input tokens and $1.50 per 1M output tokens, sourced from openai. 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?
GPT-3.5-turbo has a context window of 16K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-3.5-turbo support tool calling?
No. GPT-3.5-turbo 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 support structured output / JSON mode?
No. GPT-3.5-turbo does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.
Can GPT-3.5-turbo accept image input?
No. GPT-3.5-turbo 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 open-weight?
No. GPT-3.5-turbo 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?
If GPT-3.5-turbo 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
最終更新：
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.