GPT-4 32K
openai/gpt-4-32kPor OpenAI · familia: gpt · lanzado 2023-03-14 · fecha de conocimiento: 2023-11
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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.
Coding42
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability2/10
Agents52
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output30
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency6
- Headline price (log-scaled)6/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness70
- Number of independent providers10/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- 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 | $360 $0.36 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 | $720 $0.07 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 | $180 $0.18 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 | $600 $0.60 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $792 $0.79 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de azure-cognitive-services · gpt-4-32k
Disponible en 2 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| Azure Cognitive Services azure-cognitive-services | gpt-4-32k | $60.00 | $120.00 | 33K | 2023-03-14 |
| Azure azure | gpt-4-32k | $60.00 | $120.00 | 33K | 2023-03-14 |
Frequently asked questions
How much does GPT-4 32K cost?
GPT-4 32K costs $60.00 per 1M input tokens and $120.00 per 1M output tokens, sourced from azure-cognitive-services. 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-4 32K?
GPT-4 32K has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-4 32K support tool calling?
Yes. GPT-4 32K supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does GPT-4 32K support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for GPT-4 32K in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can GPT-4 32K accept image input?
No. GPT-4 32K only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is GPT-4 32K open-weight?
No. GPT-4 32K 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-4 32K?
If GPT-4 32K 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.
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Capability lists this model is in
Última actualización:
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.