o4-mini-deep-research
openai/o4-mini-deep-researchPor OpenAI · família: o-mini · lançado 2024-06-26 · data de conhecimento: 2024-05
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.
Coding60
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability4/10
Agents69
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability4/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency42
- Headline price (log-scaled)37/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision84
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability4/10
Production-readiness76
- Number of independent providers20/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- 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 | $14.00 $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 | $28.00 < $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 | $8.00 < $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 | $24.00 $0.02 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $28.80 $0.03 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de openai · o4-mini-deep-research
Provedor mais barato: poe · $1.80 entrada + $7.20 saída
Disponível em 4 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| OpenAI openai | o4-mini-deep-research | $2.00 | $8.00 | 200K | 2024-06-26 |
| NanoGPT nano-gpt | openai/o4-mini-deep-research | $10.00 | $19.99 | 200K | 2025-04-16 |
| Kilo Gateway kilo | openai/o4-mini-deep-research | $2.00 | $8.00 | 200K | 2024-06-26 |
| Poe poe | openai/o4-mini-deep-research | $1.80 | $7.20 | 200K | 2025-06-27 |
Inconsistências de dados entre provedores
- release_date varies (span 366d): 2024-06-26, 2025-04-16, 2025-06-27
- modalities varies across offerings
Os provedores reportam valores diferentes para este modelo. Os dados rápidos acima usam um provedor representativo; consulte a tabela para detalhes por provedor.
Frequently asked questions
How much does o4-mini-deep-research cost?
o4-mini-deep-research costs $2.00 per 1M input tokens and $8.00 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 o4-mini-deep-research?
o4-mini-deep-research has a context window of 200K tokens, with a max output of 100K tokens per reply. This is the total combined size of prompt + completion.
Does o4-mini-deep-research support tool calling?
Yes. o4-mini-deep-research 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 o4-mini-deep-research support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for o4-mini-deep-research in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can o4-mini-deep-research accept image input?
Yes. o4-mini-deep-research accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.
Is o4-mini-deep-research open-weight?
No. o4-mini-deep-research 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 o4-mini-deep-research?
If o4-mini-deep-research 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 atualização:
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.