o3-deep-research
openai/o3-deep-researchPar OpenAI · famille: o · sorti 2024-06-26 · fin de connaissance: 2024-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
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.
Coding61
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability5/10
Agents70
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability5/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency25
- Headline price (log-scaled)20/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision85
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability5/10
Production-readiness81
- Number of independent providers25/40
- 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 | $70.00 $0.07 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 | $140 $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 | $40.00 $0.04 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 | $120 $0.12 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $144 $0.14 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Détail des tarifs
Tarif recommandé de openai · o3-deep-research
Fournisseur le moins cher : nano-gpt · $10.00 entrée + $19.99 sortie
Disponible chez 5 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| OpenAI openai | o3-deep-research | $10.00 | $40.00 | 200K | 2024-06-26 |
| Vercel AI Gateway vercel | openai/o3-deep-research | $10.00 | $40.00 | 200K | 2024-06-26 |
| NanoGPT nano-gpt | openai/o3-deep-research | $10.00 | $19.99 | 200K | 2025-04-16 |
| Kilo Gateway kilo | openai/o3-deep-research | $10.00 | $40.00 | 200K | 2024-06-26 |
| Poe poe | openai/o3-deep-research | $9.00 | $36.00 | 200K | 2025-06-27 |
Incohérences de données entre fournisseurs
- release_date varies (span 366d): 2024-06-26, 2025-04-16, 2025-06-27
- modalities varies across offerings
Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.
Frequently asked questions
How much does o3-deep-research cost?
o3-deep-research costs $10.00 per 1M input tokens and $40.00 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 o3-deep-research?
o3-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 o3-deep-research support tool calling?
Yes. o3-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 o3-deep-research support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for o3-deep-research in our data source. Verify with OpenAI's official documentation before relying on it in production.
Can o3-deep-research accept image input?
Yes. o3-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 o3-deep-research open-weight?
No. o3-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 o3-deep-research?
If o3-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.
Explore more
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- 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
Capability lists this model is in
Dernière mise à jour :
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.