GitHub Copilot Max
- Price a month
- $100
- Est. $/Mtok at full use
- $0.53
- Checked
Models included
- claude-opus-5.5
- claude-sonnet-5.5
- gpt-6.1-sol
- gpt-6-astra
- gemini-3.8-flash
- grok-4.7
- kimi-k3
- ...
Published limits
“Base Credits: 10,000 monthly; Flex: 10,000; Total: 20,000 monthly AI credits”
monthly cap · 20,000 credits
Fair use
The vendor publishes no fair-use clause beyond the limits above.
Token math, step by step
The assumption: one request is 20,000 input tokens (18,000 of them cache reads) plus 1,500 output = 21,500 tokens, and a month of full use is 4 usable 5-hour windows a day × 30 days = 120 windows.
This estimate does not follow from the caps alone (credit pool, dollar pool or a measured conversion). The dataset’s method, verbatim:
“STANDARD: 1 request/prompt/message = 1 agentic model call of 20,000 input tokens (18,000 cache-read + 2,000 uncached) + 1,500 output = 21,500 tokens. Window plans: 4 usable 5h windows/day x 30 days = 120 windows/month, then capped by weekly cap x 30/7 and by any monthly cap (whichever binds first). Dollar-pool plans: pool / blended reference rate for the same token mix at Claude Sonnet 5.5 list ($2 in / $0.20 cache-read / $10 out per Mtok) = $1.0512/Mtok. Copilot bills GitHub AI Credits (1 credit = $0.01) at per-token model rates (docs models-and-pricing); tokens = credit $ / Sonnet 5.5 standard-mix rate.”
- Tokens a month at full use: 190,265,487.
- USD price ÷ (tokens ÷ 1,000,000) = $100 ÷ 190.27 = $0.53 per 1M.
- The same mix through the Claude Sonnet 5.5 API costs $1.05 per 1M, so at full use this plan is 2.0× cheaper.
“At full use” means using every window to the cap. Real use is usually well below it.
Sources
- Source: docs.github.com
- Checked ; last verified .
- Confidence: vendor page.
Price history
One snapshot so far, from . Price history is planned.
Price-drop alerts are planned; the waitlist for them is open.