o4 Mini High
openai/o4-mini-highPar OpenAI · famille: o-mini · sorti 2025-04-16 · fin de connaissance: 2024-06-30
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.
Coding79
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability3/10
Agents93
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output79
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume9/20
Cost efficiency49
- Headline price (log-scaled)44/95
- Has prompt-cache pricing5/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision83
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability3/10
Production-readiness73
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers8/10
- 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 | $7.70 < $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 | $15.40 < $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 | $4.40 < $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 | $13.20 $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 | $15.84 $0.02 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 openrouter · openai/o4-mini-high
Disponible chez 3 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| OpenRouter openrouter | openai/o4-mini-high | $1.10 | $4.40 | 200K | 2025-04-16 |
| NanoGPT nano-gpt | openai/o4-mini-high | $1.10 | $4.40 | 200K | 2025-04-16 |
| Kilo Gateway kilo | openai/o4-mini-high | $1.10 | $4.40 | 200K | 2025-04-17 |
Incohérences de données entre fournisseurs
- 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 o4 Mini High cost?
o4 Mini High costs $1.10 per 1M input tokens and $4.40 per 1M output tokens, sourced from openrouter. 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 High?
o4 Mini High 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 High support tool calling?
Yes. o4 Mini High 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 High support structured output / JSON mode?
Yes. o4 Mini High supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can o4 Mini High accept image input?
Yes. o4 Mini High 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 High open-weight?
No. o4 Mini High 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 High?
If o4 Mini High doesn't fit, consider gpt-oss-120b, GPT-5.2, gpt-oss-20b. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. 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-5.2$1.75 in / $14.00 out
- gpt-oss-20b$0.03 in / $0.14 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 :
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.