GPT Realtime 2.1

Name: GPT Realtime 2.1
Brand: OpenAI
Price: 4 USD

OpenAIChat128K context· released 2026-07-09Floating alias

gpt-realtime-2.1

Estimate cost Compare

Prices as of 2026-07-14 · rev 179affb· unknown is shown as unknown, never $0.00

Cost / request$0.0161K in · 500 out

Input / M$4.00

Output / M$24.00

Cache read / M$0.40

Context128K128,000 tokens

Max output32K32,000 tokens

Pricing

Input · fresh prompt tokens	$4.00 / M✓ 2 sources agree
Output · generated tokens	$24.00 / M✓ 2 sources agree
Cache read · cached-input hit	$0.40 / M
Cache write · cache creation	unknown
Reasoning · thinking tokens	unknown

Model info

Provider: OpenAI
Catalog key: openai/gpt-realtime-2.1
Identifier: Floating alias (may re-point over time)
Type: Chat
Max input: 128,000 tokens
Max output: 32,000 tokens
Released: 2026-07-09
Knowledge cutoff: 2024-09-30
Weights: Proprietary
Price snapshot: 2026-07-14 · rev 179affb

Pricing from TokenTriage's resolved price artifact (TokenTriage resolved price artifact (internal/pricing/data/prices.json)); capability + model metadata is third-party (LiteLLM model_prices_and_context_window.json, models.dev). Unknown means unstated, not absent.

Capabilities

4 documented as supported · 1 source conflict

Input & output

✕Visionmodels.dev

?PDF input

✓Audio input

✓Audio output

API behaviour

?Streaming

✕Structured outputmodels.dev

?Prompt caching

✓Reasoningmodels.dev

Agents & tools

⚠Function callingconflict

✓Parallel tool calls

?Web search

?Computer use

✓ supported ·✕ not supported ·? not documented ·⚠ sources disagree. A models.dev tag means the LiteLLM catalog was silent and an independent source supplied the value (lower confidence); ? is never silently turned into a confident ✕.

Estimate a request

disjoint token buckets · input = fresh (uncached) tokens

Preset

Input tokens

Output tokens

Cached input

Cache write

Reasoning

Requests / month

Cost / request—

Projected / month—

How output length drives the bill

at a 1K-token prompt · cost scales linearly with output

Output tokens overtake input spend at ~167 tokens for this model — past that, generation is your bill, whatever the headline input price says. Computed by the same cost engine as the estimate above.

Compare GPT Realtime 2.1 with other models →

Route to GPT Realtime 2.1

OpenAI-compatible · one base URL

curl https://YOUR-TOKENTRIAGE-HOST/v1/chat/completions \
  -H "Authorization: Bearer $TOKENTRIAGE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-realtime-2.1",
    "messages": [{"role": "user", "content": "Hello"}]
  }'from openai import OpenAI

client = OpenAI(
    base_url="https://YOUR-TOKENTRIAGE-HOST/v1",
    api_key="YOUR_TOKENTRIAGE_KEY",
)

resp = client.chat.completions.create(
    model="openai/gpt-realtime-2.1",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Point your existing OpenAI client at your TokenTriage host and pass the catalog key as the model. TokenTriage attributes the real cost per request and can route to a cheaper model once it's proven just as good on your traffic.

Data & API

machine-readable · rev 179affb

Pull this model's pricing, capabilities, benchmarks and cross-source provenance programmatically — every field carries the snapshot rev, and unknown is null, never 0. Free to reuse with attribution: benchmarks & Capabilities Index © Epoch AI (CC-BY (Epoch AI)); human-preference Elo © LMArena (CC-BY-4.0); capability & price cross-check via models.dev v2 (MIT) · Portkey (MIT) · TrueFoundry (MIT); open-weights facts via Hugging Face (per-repo license).

openai-gpt-realtime-2-1.json openai-gpt-realtime-2-1.csv

A price is a guess until it meets your traffic.

This page tells you what GPT Realtime 2.1 charges per token. TokenTriage tells you what it costs on your real requests — and cuts the bill only after proving a cheaper model is just as good.

See the product Back to directory