GPT-6 Astra

GitHub Copilot responses

GPT-6 Astra 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 $10.00/M tokens and output at $50.00/M tokens. Capabilities include function calling, vision, reasoning. Route GPT-6 Astra 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-6 Astra 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 @ $1.00/M
Per request
$0.0500
in $0.0300 · out $0.0200
Per day
$250
5,000 requests
Per month
$7,609
152,188 requests

Estimate uses $10.00/M input · $50.00/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.

Cheaper at a similar Arena tier

GPT-6.1 Sol (GitHub Copilot) sits in the same Chatbot Arena tier (±80 ELO of GPT-6 Astra) and runs ~80% cheaper for a typical RAG workload — $1,522/mo vs $7,609/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 $10.00/M
Output $50.00/M
Blended (3:1 in:out) $20.00/M
Cross-model comparable price
Cached input $1.00/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-6 Astra

Data-driven from GPT-6 Astra's percentile within responses peers.

Where it's strong

  • +pricing — cheaper than 79% of priced responses models on Future AGI
  • +long-form generation — 128,000-token max output, top-12% of peers

Watch out for

  • No major caveats flagged from public spec.

Benchmark scores

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

Captured Oct 20, 2026
Captured Oct 20, 2026
Captured Oct 19, 2026
Try it

Call GPT-6 Astra 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-6 Astra 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-6-astra",
    messages=[{"role": "user", "content": "Hello, GPT-6 Astra!"}],
)

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-6-astra",
    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-6-astra
    provider: github-copilot
    weight: 80
fallbacks:
  - model: gpt-5-6-sol
    provider: github-copilot
  - model: gpt-6-1-sol
    provider: github-copilot
guardrails: [pii, prompt-injection, secrets]
cache: { exact: true, semantic: true }

Same model on other providers

gpt-6-astra is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
Azure AI Foundry$10.00/M$50.00/MOct 22, 2026
Azure OpenAI$10.00/M$50.00/MOct 22, 2026
OpenAI$10.00/M$50.00/MOct 22, 2026

Explore similar models

Grouped by Chatbot Arena tier (GPT-6 Astra sits at 1476 ELO). Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does GPT-6 Astra cost?

Input is priced at $10.00 per 1M tokens and output at $50.00 per 1M tokens (GitHub Copilot, last verified Oct 22, 2026).

What is the context window of GPT-6 Astra?

GPT-6 Astra supports a 272,000-token context window with up to 128,000 output tokens.

Does GPT-6 Astra support function calling?

Yes — GPT-6 Astra supports function (tool) calling, including parallel tool calls.

Is GPT-6 Astra good for production?

GPT-6 Astra is well-suited for pricing — cheaper than 79% of priced responses models on Future AGI and long-form generation — 128,000-token max output, top-12% of peers.

How can I route to GPT-6 Astra 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-6 Astra

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