GPT-Realtime-2.1
openai/gpt-realtime-2-1出品方： OpenAI · 系列: gpt · 發布 2026-07-09 · 知識截止: 2024-09-30
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
能力清單
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.
Coding54
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability2/10
Agents67
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability2/10
JSON / structured output20
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency31
- Headline price (log-scaled)26/95
- Has prompt-cache pricing5/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Vision79
- Accepts image input50/50
- Context window (10K → 1M)17/30
- Has published price10/10
- Provider availability2/10
Production-readiness68
- Number of independent providers10/40
- 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 | $32.00 $0.03 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 | $64.00 < $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 | $20.00 $0.02 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 | $56.00 $0.06 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $62.40 $0.06 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
定價詳情
推薦定價來自 openai · gpt-realtime-2.1
於 2 家供應商可用
| 服務商 | 服務商模型 ID | 輸入 / 1M | 輸出 / 1M | 上下文 | 發布日期 |
|---|---|---|---|---|---|
| OpenAI openai | gpt-realtime-2.1 | $4.00 | $24.00 | 128K | 2026-07-06 |
| Vercel AI Gateway vercel | openai/gpt-realtime-2.1 | $4.00 | $24.00 | 128K | 2026-07-09 |
各渠道資料存在不一致
- modalities varies across offerings
各服務商對此模型的回報值不一致。上方「核心數據」採用代表性服務商的值；逐項請以下表為準。
Frequently asked questions
How much does GPT-Realtime-2.1 cost?
GPT-Realtime-2.1 costs $4.00 per 1M input tokens and $24.00 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 GPT-Realtime-2.1?
GPT-Realtime-2.1 has a context window of 128K tokens, with a max output of 32K tokens per reply. This is the total combined size of prompt + completion.
Does GPT-Realtime-2.1 support tool calling?
Yes. GPT-Realtime-2.1 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-Realtime-2.1 support structured output / JSON mode?
No. GPT-Realtime-2.1 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-Realtime-2.1 accept image input?
Yes. GPT-Realtime-2.1 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 GPT-Realtime-2.1 open-weight?
No. GPT-Realtime-2.1 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-Realtime-2.1?
If GPT-Realtime-2.1 doesn't fit, consider gpt-oss-120b, GPT-5.4, GPT-5.5. 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.
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Capability lists this model is in
最近更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.