The Ultimate Fleet
18 models in the fleet. 9 live now. OpenAI-compatible, up to 1M-token context, with a server on every plan.
DeepSeek Flash
DeepSeekDeepSeek V4 Pro
DeepSeekGLM 5.1
Z.aiGLM 5.2
Z.aiGLM 5.3
Z.aiQwen 3.8 Flash
AlibabaQwen 3.8 Max
AlibabaQwen 3.8 27B
AlibabaKimi K3
Moonshot AIDoubao Seed 2.0 / 2.1
ByteDanceKimi-2.7 & earlier
Moonshot AIHY-4
TencentMiniMax-M3
MiniMaxStepFun Step 5 Preview
StepFunStepFun-3.7 and earlier
StepFunQwen3.5-397b-a17b
AlibabaMIMO (V2-Flash / Pro)
XiaomiMiniMax-M2.7 & earlier
MiniMaxAI Coding Plans
one key · monthly token reset · server included- All 18 models
- 1M context window
- Unlimited Qwen 3.8 27B
- Dedicated NVMe VPS
- Everything in Plus
- 2× token allowance
- Priority routing
- Dedicated NVMe VPS
- Everything in Pro
- 4× token allowance
- Highest throughput lane
- Dedicated NVMe VPS
- Everything in Ultra
- 12× token allowance
- Agent-fleet ready
- Dedicated NVMe VPS
Questions
answers straight, no asterisksWhat is the /v1 endpoint?
A single OpenAI-compatible endpoint at https://api.ebotservers.com/v1. Point any OpenAI SDK, Cursor, Cline, Claude Code or DeepSeek Harness at it with your key and every model in this catalog is reachable by name - no per-provider setup, no separate billing.
How are tokens counted?
Metered models draw down your monthly allowance, which resets every 30 days on all billing cycles. The Qwen 3.8 27B builder lane runs on dedicated hardware and never touches the allowance - run background jobs, linting and cron work on it freely.
Where do the TPS numbers come from?
Live telemetry from status.ebotservers.com, the same feed our own monitoring uses. Each model page shows its own 6h / 12h / 24h / 7d history with uptime, time-to-first-byte and per-sample throughput. When a route has no telemetry we show a dash rather than an estimate.
Why do some models show "coming soon"?
They are announced but not yet verified on our infrastructure. They appear in the catalog so you can see what is queued, but they are not callable until the status changes to live - and they are never counted toward the live model total.
Do benchmarks cover every model?
No. We publish a score only when a credible source has released one. A dash means the figure is not published; a dotted value means the source reported it as approximate. We do not extrapolate or estimate benchmark scores.