MoonshotAI / MoonshotAI/kimi-code
[PERFORMANCE & BILLING] Allegro ($99) performs worse than free tier of competitors and March Moderato — suspected artificial throttling
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- Dominant language
- TypeScript
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Description
What version of Kimi Code is running?
Kimi Code K2.7
Which open platform/subscription were you using?
Kimi Code (VS Code)
Which model were you using?
Kimi Code K2.7
What platform is your computer?
Windows 10 x64
What issue are you seeing?
Environment
- Extension: Kimi Code (VS Code)
- Version: K2.7
- Account: Paying subscriber
- Previous plan: Allegretto ($39/month) — purchased June 27, 2026
- Current plan: Allegro ($99/month) — upgraded July 3, 2026
Summary
The Allegro ($99) plan performs significantly worse than the Moderato plan from March 2026. Speed, quality, and credit efficiency have degraded with every update since February. Additionally, unused funds from the Allegretto plan were not refunded despite an email confirmation promising a refund.
Detailed Issues
1. Speed Degradation Over Time
| Period | Plan | Speed | Quality |
|---|---|---|---|
| Feb–Mar 2026 | Moderato (lower tier) | Fast | Good |
| Apr–May 2026 | Moderato/Allegretto | Noticeably slower | Declining |
| Jun 2026 | Allegretto ($39) | Slow | Poor |
| Jul 2026 | Allegro ($99) | Slower than March Moderato | Worse than free tier of competitors |
Observation: Performance degraded with each monthly update, contradicting advertised "x5–x15 credit improvements" in K2.7.
2. Credit Limits Do Not Match Advertised Claims
Claimed in K2.7 release notes: Credits increased x5 to x15.
Actual experience:
- Allegretto ($39) credits exhausted rapidly despite single-user usage
- Allegro ($99) does not provide proportional performance improvement
- A coding task that takes Kimi Code 1 hour on Allegro was completed by a free-tier competitor in 5 minutes with better quality
Conclusion: Advertised credit multipliers do not translate to real-world performance.
What steps can reproduce the bug?
3. Artificial Time Inflation / Fake Busywork
Reproducible behavior:
- Agent completes a task (e.g., plan writing)
- User observes the output file is ready and timestamps it
- Agent continues generating reasoning, code, and "activity" for extended periods
- Real completion time is inflated 2x–3x compared to actual output availability
Verification method:
- Close VS Code after output appears ready
- Reopen 10 seconds later
- Work is confirmed complete — proving the extended "reasoning" was unnecessary delay
Impact: Wastes credits on artificial token generation. The user pays for time the agent spends performing fake busywork.
4. Quality Regression
Examples:
- Code requiring 1 hour on Kimi Code Allegro was generated by a competitor's free tier in 5 minutes
- Even simple copy-paste tasks involve excessive error cycles
- Agent produces non-working solutions, then iterates with more non-working solutions
- Reasoning blocks are bloated with irrelevant content before any actionable output
5. Refund Not Processed
- June 27, 2026: Purchased Allegretto ($39)
- July 3, 2026: Upgraded to Allegro ($99) — unused Allegretto period remains
- Email confirmation: Received promise of refund for unused Allegretto funds
- As of [текущая дата]: Refund not received, no response to inquiry
Expected Behavior
- Allegro ($99) should perform at least as well as Moderato from March 2026
- Credits should last proportionally to plan tier
- Agent should stop processing immediately when output is ready (no fake busywork)
- Unused funds from tier switch should be refunded as confirmed via email
Actual Behavior
- Allegro ($99) is slower and lower quality than March Moderato
- Credits deplete faster than advertised
- Agent artificially extends session duration 2x–3x after output is ready
- Refund not processed despite email confirmation
What is the expected behavior?
Requests
- Explain the performance regression from March Moderato to July Allegro with technical specifics
- Verify whether artificial token generation / session inflation is occurring in K2.7
- Process the refund for unused Allegretto funds immediately
- Provide actual benchmark data comparing K2.7 speed/quality to pre-K2.7 versions
- Publish transparent credit consumption metrics so users can verify "x5–x15" claims
- Timeline for fix or compensation if performance cannot be restored
Additional information
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported Kimi Code K2.7 behavior in VS Code using the described plan, timing, credit-consumption, and close/reopen checks. Compare the observed results with the March Moderato claims and the advertised K2.7 multipliers; the issue is done only when the regression, session behavior, and refund status are independently verified or disproved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- typescript, vscode
- Domain
- payments, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100