GPT-5.4 mini

GitHub Copilot responses Deprecated 16d ago
Heads-up: GitHub Copilot has scheduled GPT-5.4 mini for deprecation on Oct 19, 2026. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

GPT-5.4 mini is a GitHub Copilot responses-API model.It supports a 272,000-token context windowwith up to 128,000 output tokens.Input is priced at $0.750/M tokens and output at $4.50/M tokens. Capabilities include function calling, vision, reasoning. Route GPT-5.4 mini via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: Oct 22, 2026 View source ↗
Cost calculator

Estimate GPT-5.4 mini spend

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

~3K in / ~400 out · 5K req/day
3,000
0272,000
400
0128,000
5,000
01,000,000
cached @ $0.0750/M
Per request
$0.004050
in $0.002250 · out $0.001800
Per day
$20.25
5,000 requests
Per month
$616
152,188 requests

Estimate uses $0.7500/M input · $4.50/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.

Cheaper at a similar Arena tier

GPT-6 Luna (GitHub Copilot) sits in the same Chatbot Arena tier (±80 ELO of GPT-5.4 mini) and runs ~88% cheaper for a typical RAG workload — $76.09/mo vs $616/mo at 3K in / 400 out · 5K reqs/day.

Quality match is gated on real benchmarks; the CTA disappears when no comparable peer exists.

Compare side-by-side →

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input $0.750/M
Output $4.50/M
Blended (3:1 in:out) $1.69/M
Cross-model comparable price
Cached input $0.0750/M

Context & limits

Context window
272,000 tokens
Max input
272,000 tokens
Max output
128,000 tokens
Modalities
vision, text

Capabilities

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

Strengths & caveats — when to pick GPT-5.4 mini

Data-driven from GPT-5.4 mini's percentile within responses peers.

Where it's strong

  • +long-form generation — 128,000-token max output, top-12% of peers

Watch out for

  • !already deprecated — provider stopped accepting new traffic 16 days ago

Benchmark scores

Reported public benchmark numbers. Each row links to the source. Faded bar shows 6-peer average for context.

Captured Oct 20, 2026
Chatbot Arena ELOgeneral· style control↓2% vs peers
Captured Oct 20, 2026
GPQA Diamondreasoning· xhigh
Captured Aug 8, 2026
MMMU-Promultimodal· w/ Python, xhigh
Captured Aug 8, 2026
Captured Oct 19, 2026
SWE-benchagent· xhigh; Pro (Public)
Captured Aug 8, 2026
Humanity's Last Examreasoning· w/ tool, xhigh
Captured Aug 8, 2026
Try it

Call GPT-5.4 mini 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-5.4 mini 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="github-copilot/gpt-5-4-mini",
    messages=[{"role": "user", "content": "Hello, GPT-5.4 mini!"}],
)

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="github-copilot/gpt-5-4-mini",
    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-5-4-mini
    provider: github-copilot
    weight: 80
fallbacks:
  - model: gpt-5-6-luna
    provider: github-copilot
  - model: gpt-6-luna
    provider: github-copilot
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Same model on other providers

gpt-5-4-mini is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Azure AI Foundry$0.750/M$4.50/MOct 22, 2026
OpenAI$0.750/M$4.50/MOct 22, 2026
Azure OpenAI$0.750/M$4.50/MOct 22, 2026

Explore similar models

Grouped by Chatbot Arena tier (GPT-5.4 mini sits at 1447 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does GPT-5.4 mini cost?

Input is priced at $0.750 per 1M tokens and output at $4.50 per 1M tokens (GitHub Copilot, last verified Oct 22, 2026).

What is the context window of GPT-5.4 mini?

GPT-5.4 mini supports a 272,000-token context window with up to 128,000 output tokens.

Does GPT-5.4 mini support function calling?

Yes — GPT-5.4 mini supports function (tool) calling, including parallel tool calls.

Is GPT-5.4 mini good for production?

GPT-5.4 mini is well-suited for long-form generation — 128,000-token max output, top-12% of peers. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 16 days ago.

How can I route to GPT-5.4 mini 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-5.4 mini

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