TokenMix Research Lab · 2026-06-04

GitHub Copilot AI Credits 2026: Prices, Limits, Cost Math

GitHub Copilot AI Credits 2026: Prices, Limits, Cost Math

Last Updated: 2026-06-04 Author: TokenMix Research Lab Data verified: 2026-06-04 - GitHub Copilot usage-based billing announcement, GitHub Docs billing tables, model pricing reference, budget controls, June 1 changelog

GitHub Copilot's June 1 billing change is simple in wording and sharp in practice: agentic usage now burns AI Credits by token. Completions stay included. Long coding-agent sessions do not.

GitHub announced that all Copilot plans transitioned to usage-based billing on June 1, 2026, replacing premium request units with GitHub AI Credits calculated from input, output, and cached tokens (GitHub Blog). One AI Credit equals $0.01, and paid individual plans now include 1,500 credits for Pro, 7,000 for Pro+, and 20,000 for Max (GitHub Docs). Business and Enterprise receive pooled monthly allowances of 1,900 and 3,900 credits per user, with temporary promotional allowances of 3,000 and 7,000 from June 1 to September 1, 2026 (GitHub Docs). The real cost swing comes from model choice: GPT-5.5 is $5/$30 per million input/output tokens, while MAI-Code-1-Flash is $0.75/$4.50 (GitHub Docs).

Table of Contents

Quick Answer

Question Direct answer Status
Did Copilot switch to AI Credits? Yes, usage-based billing is live as of June 1, 2026 Confirmed
Did base plan prices change? No. Pro $10, Pro+ $39, Business $19/user, Enterprise $39/user stayed the same in the launch announcement Confirmed
Do completions consume AI Credits? No. Code completions and next edit suggestions remain included for paid plans Confirmed
What consumes AI Credits? Chat, CLI, cloud agent, Spaces, Spark, third-party coding agents, and other AI model features Confirmed
Does code review have extra billing? Yes. It consumes AI Credits and GitHub Actions minutes Confirmed
Is there still a low-cost fallback after exhausting quota? No automatic fallback under the new model Confirmed
Can admins cap spending? Yes, through user-level, cost-center, enterprise, and organization budgets Confirmed
Is every task now more expensive? No. Lightweight model usage can be cheap; long frontier-agent sessions can be expensive Likely

Confirmed Facts vs Misreads

Claim Status Correct reading
"Copilot now charges for every autocomplete" False Completions and next edit suggestions stay included in paid plans (GitHub Docs)
"Copilot Pro is still $10/month" Confirmed Base plan price did not change in the announcement (GitHub Blog)
"Pro includes 1,500 monthly AI Credits" Confirmed 1,000 base plus 500 flex credits (GitHub Docs)
"Pro+ includes 7,000 monthly AI Credits" Confirmed 3,900 base plus 3,100 flex credits
"Max includes 20,000 monthly AI Credits" Confirmed 10,000 base plus 10,000 flex credits
"Business gets 1,900 credits per user" Confirmed Pooled at billing entity level
"Enterprise gets 3,900 credits per user" Confirmed Pooled at billing entity level
"Business / Enterprise promo credits last forever" False Promo period is June 1 to September 1, 2026
"A quick chat and a multi-hour agent run still cost the same" False GitHub explicitly changed billing to reflect token usage
"Model choice now matters" Confirmed GitHub publishes per-model input, cached input, cache write, and output rates

Plan Credit Allowances

Plan Monthly price Base credits Flex credits Total monthly AI Credits Effective included dollar value
Copilot Pro $10 1,000 500 1,500 $15
Copilot Pro+ $39 3,900 3,100 7,000 $70
Copilot Max $100 10,000 10,000 20,000 $200
Copilot Business $19/user n/a n/a 1,900/user pooled $19/user
Copilot Enterprise $39/user n/a n/a 3,900/user pooled $39/user
Business promo $19/user n/a n/a 3,000/user pooled through 2026-09-01 $30/user
Enterprise promo $39/user n/a n/a 7,000/user pooled through 2026-09-01 $70/user

The oddity is intentional: individual Pro gets $15 in monthly credits for a $10 subscription, Pro+ gets $70 for $39, and Max gets $200 for $100. GitHub calls part of that a flex allotment, a variable component that can change as AI economics change (GitHub Docs). That means the base credit amount is more stable than the flex amount.

Model Pricing Table

All prices below are GitHub's published Copilot per-1M-token rates as of June 4, 2026 (GitHub Docs).

Provider Model Category Input / 1M Cached input / 1M Output / 1M Status
Microsoft MAI-Code-1-Flash Lightweight $0.75 $0.075 $4.50 Confirmed
OpenAI GPT-5 mini Lightweight $0.25 $0.025 $2.00 Confirmed
OpenAI GPT-5.4 nano Lightweight $0.20 $0.02 $1.25 Confirmed
OpenAI GPT-5.4 mini Lightweight $0.75 $0.075 $4.50 Confirmed
OpenAI GPT-5.4 Versatile $2.50 $0.25 $15.00 Confirmed
OpenAI GPT-5.5 Powerful $5.00 $0.50 $30.00 Confirmed
Anthropic Claude Haiku 4.5 Versatile $1.00 $0.10 $5.00 Confirmed
Anthropic Claude Sonnet 4.6 Versatile $3.00 $0.30 $15.00 Confirmed
Anthropic Claude Opus 4.8 Powerful $5.00 $0.50 $25.00 Confirmed
Google Gemini 3.1 Pro Powerful $2.00 $0.20 $12.00 Confirmed
Google Gemini 3.5 Flash Lightweight $1.50 $0.15 $9.00 Confirmed

The model-price spread is huge. GPT-5.5 output is 24x GPT-5.4 nano output. A careless model picker is now a billing bug.

$10 Buys How Many Tokens

Model $10 buys input tokens $10 buys output tokens Best use
GPT-5.4 nano 50.0M 8.0M Simple chat, rewrite, classification
GPT-5 mini 40.0M 5.0M Cheap coding support
MAI-Code-1-Flash 13.3M 2.22M Lightweight coding inside Copilot
Claude Haiku 4.5 10.0M 2.0M Cheap Claude-style assistant work
Gemini 3.1 Pro 5.0M 0.83M Long-ish powerful tasks
Claude Sonnet 4.6 3.33M 0.67M Serious coding/reasoning
GPT-5.5 2.0M 0.33M Frontier tasks only
Claude Opus 4.8 2.0M 0.40M High-value reasoning and coding

Cost calculation: Copilot Pro has 1,500 included AI Credits, equal to $15 in credit value. On GPT-5.5 output, that is 500,000 output tokens. On GPT-5.4 nano output, it is 12,000,000 output tokens. Same plan. Very different runway.

Cost Per Coding Task

These are math examples using GitHub's model rates. They are not GitHub-provided workload benchmarks.

Workload Token shape MAI-Code-1-Flash Claude Sonnet 4.6 GPT-5.5
Small bug fix prompt 3K in / 1K out $0.0068 / 0.68 credits $0.024 / 2.4 credits $0.045 / 4.5 credits
Medium coding agent step 10K in / 2K out $0.0165 / 1.65 credits $0.060 / 6 credits $0.110 / 11 credits
Large repo context pass 80K in / 5K out $0.0825 / 8.25 credits $0.315 / 31.5 credits $0.550 / 55 credits
Heavy agent iteration 250K in / 20K out $0.2775 / 27.75 credits $1.05 / 105 credits $1.85 / 185 credits
Review-heavy task 100K in / 40K out $0.255 / 25.5 credits $0.900 / 90 credits $1.700 / 170 credits

Cost calculation 1: a Pro user with 1,500 credits can run about 136 medium GPT-5.5 agent steps at 11 credits each, before additional usage. The same credit pool can run about 909 MAI-Code-1-Flash medium steps at 1.65 credits each.

Cost calculation 2: a Pro+ user with 7,000 credits can run about 63 heavy GPT-5.5 agent iterations at 110 credits each if using a 120K/15K shape. Switch that same workflow to Claude Sonnet 4.6 at $3/$15 and it becomes about 111 iterations at 63 credits each.

Cost calculation 3: output dominates. A 5K input / 50K output generation on GPT-5.5 costs $1.525, or 152.5 credits. On MAI-Code-1-Flash, it costs $0.22875, or 22.875 credits. Long answers are where credit surprises show up.

Business and Enterprise Pool Math

Organization Plan Seat fee Standard credit pool Promo pool through Sep 1 Credit value delta
25 users Business $475/mo 47,500 75,000 +$275
25 users Enterprise $975/mo 97,500 175,000 +$775
100 users Business $1,900/mo 190,000 300,000 +$1,100
100 users Enterprise $3,900/mo 390,000 700,000 +$3,100
400 users Business $7,600/mo 760,000 1,200,000 +$4,400
400 users Enterprise $15,600/mo 1,560,000 2,800,000 +$12,400

Pooled credits are good for teams because light users subsidize heavy users. They are bad for surprise costs if admins do not set user-level budgets. GitHub states there is no automatic lower-cost fallback when budgets are exhausted; usage is either blocked or continues into metered spend depending on policy (GitHub Docs).

Budget Controls That Matter

Control What it caps When active Hard stop? Probe verdict
Universal user-level budget Each user's total AI Credit consumption Pool and metered phases Yes Turn on first
Individual user-level budget One user's total consumption Pool and metered phases Yes Use for power users
Cost-center budget Metered charges after pool is exhausted Metered phase only Optional Useful but not enough
Enterprise budget Total enterprise metered charges after pool exhaustion Metered phase only Optional Must enable stop-at-limit
Organization-level budget Repository/org spend tracking Org context Depends Good for visibility

GitHub's budget docs contain one easy-to-miss line: "Stop usage when budget limit is reached" is off by default for enterprise spending limits and cost-center budgets (GitHub Docs). If you do not enable it, charges can continue past the limit.

How To Cut Copilot Costs

Lever Effort Expected saving Status Why
Use lightweight models for simple tasks Low 50-90% Confirmed math Model price spread is large
Cap max_tokens / output length Low 20-70% Confirmed math Output is often the expensive side
Use cached context when available Medium 50-90% on reused context Confirmed pricing Cached input is much cheaper
Set universal user-level budgets Low Prevents runaway spend Confirmed Hard stop during pool and metered phases
Route agent tasks by complexity Medium 30-80% Likely Use frontier only when needed
Avoid Copilot code review on huge PRs without policy Medium Prevents dual billing Confirmed risk Code review uses AI Credits plus Actions minutes
Monitor credit burn by workflow Medium Improves decisions Likely Request count no longer reflects cost
Use external model gateways for non-GitHub workflows Medium Variable Likely TokenMix/OpenRouter/LiteLLM can route by cost

For non-GitHub application calls, compare this with TokenMix's AI API gateway, OpenRouter alternatives, and Claude API pricing. Copilot Credits are great inside Copilot. They are not a universal model-routing layer for your product.

Hidden Cost Factors

Hidden factor Real impact Status
Agentic loops Multiple model calls per task Confirmed
Large repository context Input tokens can spike quickly Confirmed
Long generated diffs Output token burn dominates Confirmed
Code review Actions minutes Dual billing path Confirmed
Model auto-selection May choose higher-cost model if not visible Likely
Prompt scheduling Background prompts can burn credits while unattended Likely
Third-party coding agents GitHub says they consume AI Credits Confirmed
Budget stop setting off by default Spending caps may not stop spend Confirmed

The practical metric is no longer "how many Copilot requests did we use?" It is "how many credits did one merged PR, one resolved bug, or one review cycle consume?"

Final Recommendation

Keep Copilot for completions and normal IDE flow. Put strict budgets on agentic features. Route simple work to cheap models. Reserve GPT-5.5, Claude Opus, and long cloud-agent sessions for tasks where the value per merged change beats the credit burn.

FAQ

What changed in GitHub Copilot billing on June 1, 2026?

GitHub Copilot moved from premium request units to usage-based GitHub AI Credits. Usage is calculated from input, output, and cached tokens at the model's published rates.

Does GitHub Copilot autocomplete cost AI Credits now?

No. Code completions and next edit suggestions remain included for paid Copilot plans and do not consume AI Credits.

How many AI Credits does Copilot Pro include?

Copilot Pro includes 1,500 monthly AI Credits: 1,000 base credits and 500 flex credits. One AI Credit equals $0.01.

How many AI Credits do Business and Enterprise include?

Copilot Business includes 1,900 credits per user per month, pooled at the billing entity level. Copilot Enterprise includes 3,900. Existing customers temporarily receive 3,000 and 7,000 from June 1 to September 1, 2026.

What is the cheapest Copilot model?

Among GitHub's listed rates, GPT-5.4 nano is cheaper than MAI-Code-1-Flash on both input and output. MAI-Code-1-Flash is Microsoft's lightweight coding model inside Copilot, but not the absolute cheapest listed model.

Why did my Copilot bill increase?

Likely causes are agentic sessions, frontier model selection, long output, code review dual billing, or missing budget controls. Under the new system, a quick chat and a multi-step coding agent run no longer cost the same.

Can admins stop Copilot from overspending?

Yes. Use universal user-level budgets first because they are hard stops. Also set enterprise or cost-center spending limits and enable "Stop usage when budget limit is reached."

Should I replace Copilot with an API gateway?

No for IDE completions. Yes for product workloads that need multi-provider routing, fallback, and cost-per-task optimization. Copilot is an IDE and GitHub workflow product; TokenMix is a model-routing gateway.

Sources

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