GPT-5

GitHub Copilot chat

GPT-5 is a GitHub Copilot chat model.It supports a 128,000-token context windowwith up to 128,000 output tokens. Capabilities include function calling, vision. Route GPT-5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: Jun 2, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for GPT-5 yet. If you have a source from GitHub Copilot's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Jun 2, 2026.

Input
Output

Context & limits

Context window
128,000 tokens
Max input
128,000 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 — not advertised

Strengths & caveats — when to pick GPT-5

Data-driven from GPT-5's percentile within chat peers.

Where it's strong

  • +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. Faded bar shows 6-peer average for context.

MATH-500math· 0-shot
Captured Jun 2, 2026
AIME 2024math· 0-shot↑168% vs peers
Captured Jun 2, 2026
BFCL v3agent· multi-turn
Captured Jun 2, 2026
HumanEvalcode· 0-shot
Captured Jun 2, 2026
IFEvalgeneral· 0-shot
Captured Jun 2, 2026
AIME 2025math· 0-shot
Captured Jun 2, 2026
Chatbot Arena ELOgeneral· overall↑0% vs peers
Captured Jun 2, 2026
LiveCodeBenchcode· pass@1
Captured Jun 2, 2026
MMLU-Proreasoning· 0-shot
Captured Jun 2, 2026
Aider Polyglotcode· pass@1
Captured Jun 2, 2026
GPQA Diamondreasoning· 0-shot
Captured Jun 2, 2026
MMMUmultimodal· 0-shot↑13% vs peers
Captured Jun 2, 2026
SWE-bench Verifiedagent· agentic↑97% vs peers
Captured Jun 2, 2026
Humanity's Last Examreasoning· 0-shot
Captured Jun 2, 2026
ARC-AGI-2reasoning· 0-shot
Captured Jun 2, 2026
Try it

Call GPT-5 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 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",
    messages=[{"role": "user", "content": "Hello, GPT-5!"}],
)

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",
    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
    provider: github-copilot
    weight: 80
fallbacks:
  - model: claude-opus-4-6
    provider: anthropic
  - model: claude-opus-4-6-20260205
    provider: anthropic
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Same model on other providers

gpt-5 is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Azure OpenAI$1.25/M$10.00/MJun 2, 2026
OpenAI$1.25/M$10.00/MJun 2, 2026

Compare with similar models

Grouped by Chatbot Arena tier (GPT-5 sits at 1450 ELO).

FAQ

How much does GPT-5 cost?

Public per-token pricing for GPT-5 is not yet published. Submit a source on this page to help us add it.

What is the context window of GPT-5?

GPT-5 supports a 128,000-token context window with up to 128,000 output tokens.

Does GPT-5 support function calling?

Yes — GPT-5 supports function (tool) calling, including parallel tool calls.

Is GPT-5 good for production?

GPT-5 is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this.

How can I route to GPT-5 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

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