GPT 5.3 Chat latest

OpenAI chat

GPT 5.3 Chat latest is an OpenAI chat model.It supports a 128,000-token context windowwith up to 16,384 output tokens.Input is priced at $1.75/M tokens and output at $14.00/M tokens. Capabilities include function calling, vision, reasoning, prompt caching. Route GPT 5.3 Chat latest via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Aug 6, 2026 View source ↗
Cost calculator

Estimate GPT 5.3 Chat latest spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0128,000
400
016,384
5,000
01,000,000
cached @ $0.1750/M
Per request
$0.0109
in $0.005250 · out $0.005600
Per day
$54.25
5,000 requests
Per month
$1,651
152,188 requests

Estimate uses $1.75/M input · $14.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Aug 6, 2026.

Input $1.75/M
Output $14.00/M
Blended (3:1 in:out) $4.81/M
Cross-model comparable price
Cached input $0.175/M

Context & limits

Context window
128,000 tokens
Max input
128,000 tokens
Max output
16,384 tokens
Modalities
vision, pdf, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls ✓ supported
  • Vision input ✓ supported
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input ✓ supported
  • Streaming ✓ supported
  • Structured output ✓ supported
  • Prompt caching ✓ supported
  • Reasoning ✓ supported

Strengths & caveats — when to pick GPT 5.3 Chat latest

Data-driven from GPT 5.3 Chat latest's percentile within chat peers.

Where it's strong

  • +pricing — cheaper than 83% of priced chat models on Future AGI
  • +PDF input — only 19% of chat models on Future AGI advertise this
  • +parallel tool calls — only 21% of chat models on Future AGI advertise this

Watch out for

  • No major caveats flagged from public spec.

Benchmark scores

Reported public benchmark numbers. Each row links to the source.

Chatbot Arena ELOgeneral· overall
Captured Aug 8, 2026
Try it

Call GPT 5.3 Chat latest via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# GPT 5.3 Chat latest via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="openai/gpt-5-3-chat-latest",
    messages=[{"role": "user", "content": "Hello, GPT 5.3 Chat latest!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="openai/gpt-5-3-chat-latest",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗
Advanced: fallback + cache config (YAML)
strategy: cost-optimized
targets:
  - model: gpt-5-3-chat-latest
    provider: openai
    weight: 80
fallbacks:
  - model: claude-opus-4-6
    provider: azure-ai-foundry
  - model: claude-opus-4-6-20260205
    provider: anthropic
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Compare with similar models

Grouped by Chatbot Arena tier (GPT 5.3 Chat latest sits at 1448 ELO).

FAQ

How much does GPT 5.3 Chat latest cost?

Input is priced at $1.75 per 1M tokens and output at $14.00 per 1M tokens (OpenAI, last verified Aug 6, 2026).

What is the context window of GPT 5.3 Chat latest?

GPT 5.3 Chat latest supports a 128,000-token context window with up to 16,384 output tokens.

Does GPT 5.3 Chat latest support function calling?

Yes — GPT 5.3 Chat latest supports function (tool) calling, including parallel tool calls.

Is GPT 5.3 Chat latest good for production?

GPT 5.3 Chat latest is well-suited for pricing — cheaper than 83% of priced chat models on Future AGI and PDF input — only 19% of chat models on Future AGI advertise this.

How can I route to GPT 5.3 Chat latest with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for GPT 5.3 Chat latest

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.