gpt-realtime-2.1-mini API Pricing

Token prices, what real workloads cost, and the closest alternatives on price.

gpt-realtime-2.1-mini costs $0.60 per million input tokens and $2.40 per million output tokens on OpenAI, with cached input at $0.060 per million. It ranks #33 cheapest of 76 LLM APIs we track on a blended price of $1.05 per million tokens.
Input
$0.60
per 1M tokens
Output
$2.40
per 1M tokens
Cached input
$0.060
10x cheaper than input
Blended
$1.05
per 1M · 3 input : 1 output

What gpt-realtime-2.1-mini costs for real workloads

WorkloadEstimated cost
Support chatbot: 100K messages$120.00
RAG search: 10K queries with 6K-token context$48.00
Batch summarization: 1,000 long documents$14.40
Coding agent: 100 tasks, 50K context x 20 turns$13.50

Chatbot: 800 input + 300 output tokens per message. RAG: 6,000 + 500 per query. Summarization: 20,000 + 1,000 per document. Coding agent: 20 turns per task over a 50K-token context, with 95% of input served from cache where the model supports it.

gpt-realtime-2.1-mini vs similarly priced models

ModelProviderInput / 1MOutput / 1MCached / 1MBlended
Gemini 3 Nano Google $0.30$2.50 $0.030 $0.85
Gemini 3.5 Flash Google $0.30$2.50 $0.030 $0.85
Gemini 2 Flash Google $0.30$2.50 $0.030 $0.85
Gemini 3.5 Flash-Lite Google $0.30$2.50 $0.030 $0.85
deepseek-v4-pro DeepSeek $0.66$1.98 $0.022 $0.99
Gemini 2.5 Flash Google $0.075$3.75 $0.075 $0.99
Mistral Large 4 Mistral AI $0.70$2.10 $0.070 $1.05
gpt-realtime-2.1-mini OpenAI $0.60$2.40 $0.060 $1.05
Gemini 3 Flash Preview Google $0.50$3.00 $0.050 $1.12
Prices last checked November 8, 2026 · re-checked twice a week from official pricing pages and APIs · How we collect prices

Other OpenAI models

gpt-realtime-2.1-mini pricing FAQ

How much does the gpt-realtime-2.1-mini API cost?

gpt-realtime-2.1-mini costs $0.60 per million input tokens and $2.40 per million output tokens on OpenAI, with cached input at $0.060 per million. Prices as of November 8, 2026.

How much does gpt-realtime-2.1-mini cost for 1,000 requests?

At 1,000 input and 500 output tokens per request, 1,000 requests cost about $1.80.

Does gpt-realtime-2.1-mini have a prompt caching discount?

Yes. Cached input is $0.060 per million tokens, 10x cheaper than fresh input. Workloads that resend the same context, like agents and chat with long system prompts, pay mostly the cached rate.

Is gpt-realtime-2.1-mini expensive compared to other LLM APIs?

It ranks #33 cheapest of 76 models we track on a blended price (3 input tokens per output token) of $1.05 per million tokens.

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