Atlas Cloud
Explore Atlas Cloud models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
Atlas Cloudatlas-cloud
No provider claimThese privacy labels describe Atlas Cloud, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | Atlas Cloud |
|---|---|
| Routing status | Active |
| Provider website | https://www.atlascloud.ai/ |
| Models | 78 public models |
| Credits routes | 78 |
| Zero data retention | not claimed |
| Verified confidential inference | Not verified |
| Policy note | Atlas Cloud publishes a platform zero-retention policy, while its aggregated model routes can involve downstream providers. TrustedRouter keeps the public route tier conservative pending downstream-path contractual verification. Policy source |
Measured performance
28 samplesContinuously sampled across Atlas Cloud's routed models: p50 TTFT, effective throughput, and success rate. Effective throughput uses provider-reported output tokens over complete request time. Unsupported route and probe-configuration rows are separated from provider downtime. No prompt or output content stored.
| p50 TTFT | 2008 ms |
|---|---|
| Effective throughput | 32 tok/s n=9 |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| qwen/qwen3-235b-a22b-2507 | 1142 ms | — | 100.00% | — | 1 |
| qwen/qwen3.5-plus | 1261 ms | — | 100.00% | — | 1 |
| x-ai/grok-build-0.1 | 1344 ms | — | 100.00% | — | 1 |
| qwen/qwen3.7-plus | 1402 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k2.5 | 1490 ms | — | 100.00% | — | 1 |
| meituan-longcat/longcat-2.0 | 1598 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-ocr | 1673 ms | — | 100.00% | — | 2 |
| bytedance/doubao-seed-1.8-251228 | 1719 ms | — | 100.00% | — | 2 |
| moonshotai/kimi-k2.6 | 1737 ms | 32 tok/s n=2 | 100.00% | — | 1 |
| qwen/qwen3.5-27b | 1755 ms | — | 100.00% | — | 1 |
| bytedance/doubao-seed-1.6-251015 | 2008 ms | — | 100.00% | — | 2 |
| deepseek/deepseek-v3.2 | 2483 ms | — | 100.00% | — | 2 |
| z-ai/glm-5.3 | 2650 ms | — | 100.00% | — | 1 |
| bytedance/doubao-seed-2.1-pro-260628 | 2718 ms | — | 100.00% | — | 1 |
| qwen/qwen3.5-flash | 2926 ms | — | 100.00% | — | 1 |
| openai/gpt-5.6-terra | 3176 ms | — | 100.00% | — | 1 |
| z-ai/glm-4.7 | 3267 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.2 | 3480 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.1 | 3553 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.3-flash | 3556 ms | — | 100.00% | — | 1 |
| minimax/minimax-m2.7 | 3752 ms | — | 100.00% | — | 1 |
| x-ai/grok-4.3 | 3801 ms | — | 100.00% | — | 1 |
| qwen/qwen3.5-35b-a3b | 3910 ms | — | 100.00% | — | 1 |
| google/gemini-2.5-flash | 5020 ms | — | 100.00% | — | 1 |
| google/gemini-3.1-pro-preview | — | 16 tok/s n=1 | — | — | 0 |
| google/gemini-3.5-flash | — | 29 tok/s n=2 | — | — | 0 |
| minimax/minimax-m3 | — | 119 tok/s n=1 | — | — | 0 |
| moonshotai/kimi-k2.7-code | — | 27 tok/s n=1 | — | — | 0 |
| moonshotai/kimi-k3 | — | 104 tok/s n=1 | — | — | 0 |
| xiaomi/mimo-v2.5-pro | — | 40 tok/s n=1 | — | — | 0 |
Atlas Cloud performance history · Full provider & model leaderboard.
Models served by Atlas Cloud.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Input | Cached input | Output |
|---|---|---|---|---|---|
bytedance/doubao-seed-1.6-251015Doubao Seed 1.6 |
— | 262,144 | $0.26375/1M | $0.05275/1M | $2.11/1M |
bytedance/doubao-seed-1.6-flash-250828Doubao Seed 1.6 Flash |
— | 262,144 | $0.079125/1M | $0.015825/1M | $0.3165/1M |
bytedance/doubao-seed-1.8-251228Doubao Seed 1.8 |
— | 262,144 | $0.26375/1M | $0.05275/1M | $2.11/1M |
bytedance/doubao-seed-2.0-code-preview-260215Doubao Seed 2.0 Code Preview |
— | 262,144 | $0.5275/1M | $0.1055/1M | $3.165/1M |
bytedance/doubao-seed-2.0-lite-260428Doubao Seed 2.0 Lite |
— | 262,144 | $0.26375/1M | $0.05275/1M | $2.11/1M |
bytedance/doubao-seed-2.0-mini-260428Doubao Seed 2.0 Mini |
— | 262,144 | $0.1055/1M | $0.0211/1M | $0.422/1M |
bytedance/doubao-seed-2.0-pro-260215Doubao Seed 2.0 Pro |
— | 262,144 | $0.5275/1M | $0.1055/1M | $3.165/1M |
bytedance/doubao-seed-2.1-pro-260628Doubao Seed 2.1 Pro |
— | 262,144 | $0.9495/1M | $0.1899/1M | $4.7475/1M |
bytedance/doubao-seed-2.1-turbo-260628Doubao Seed 2.1 Turbo |
— | 262,144 | $0.47475/1M | $0.09495/1M | $2.37375/1M |
bytedance/doubao-seed-character-260628Doubao Seed Character |
— | 131,072 | $0.211/1M | $0.0422/1M | $0.844/1M |
bytedance/doubao-seed-evolvingDoubao Seed Evolving |
— | 262,144 | $0.9495/1M | $0.1899/1M | $4.7475/1M |
deepseek/deepseek-ocrDeepSeek OCR |
— | 8,192 | $0.0422/1M | $0.0422/1M | $0.0844/1M |
deepseek/deepseek-v3.1DeepSeek V3.1 |
IQ 95#105 | 131,072 | $0.3165/1M | $0.13715/1M | $1.00225/1M |
deepseek/deepseek-v3.1-terminusDeepSeek: DeepSeek V3.1 Terminus |
— | 131,072 | $0.3165/1M | $0.13715/1M | $1.00225/1M |
deepseek/deepseek-v3.2DeepSeek: DeepSeek V3.2 |
IQ 103#77 | 163,840 | $0.2743/1M | $0.13715/1M | $0.4009/1M |
deepseek/deepseek-v3.2-expDeepSeek: DeepSeek V3.2 Exp |
— | 163,840 | $0.28485/1M | $0.28485/1M | $0.43255/1M |
deepseek/deepseek-v4-flashDeepSeek: DeepSeek V4 Flash 0423 |
IQ 116#37 | 1,048,576 | $0.1477/1M | $0.02954/1M | $0.2954/1M |
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | $0.4642/1M | $0.02954/1M | $1.3926/1M |
deepseek/deepseek-v4-flash-vision-expDeepSeek: DeepSeek V4 Flash Vision Exp |
IQ 115#42 | 1,048,576 | $0.4642/1M | $0.02954/1M | $1.3926/1M |
deepseek/deepseek-v4-proDeepSeek: DeepSeek V4 Pro 0423 |
IQ 114#47 | 1,048,576 | $1.7724/1M | $0.13715/1M | $3.5659/1M |
google/gemini-2.5-flashGoogle: Gemini 2.5 Flash |
— | 1,048,576 | $0.3165/1M | $0.03165/1M | $2.6375/1M |
google/gemini-2.5-flash-liteGoogle: Gemini 2.5 Flash Lite |
— | 1,048,576 | $0.1055/1M | $0.01055/1M | $0.422/1M |
google/gemini-2.5-proGoogle: Gemini 2.5 Pro |
IQ 100#88 | 1,048,576 | $1.31875/1M | $0.131875/1M | $10.55/1M |
google/gemini-3-flash-previewGoogle: Gemini 3 Flash Preview |
IQ 116#39 | 1,048,576 | $0.5275/1M | $0.05275/1M | $3.165/1M |
google/gemini-3.1-flash-liteGoogle: Gemini 3.1 Flash Lite |
IQ 103#78 | 1,048,576 | $0.26375/1M | $0.026375/1M | $1.5825/1M |
google/gemini-3.1-pro-previewGoogle: Gemini 3.1 Pro Preview |
IQ 129#8 | 1,048,576 | $2.11/1M | $0.211/1M | $12.66/1M |
google/gemini-3.5-flashGoogle: Gemini 3.5 Flash |
IQ 124#14 | 1,048,576 | $1.5825/1M | $0.15825/1M | $9.495/1M |
kwaipilot/kat-coder-air-v2.5KAT Coder Air V2.5 |
— | 262,144 | $0.15825/1M | $0.03165/1M | $0.633/1M |
kwaipilot/kat-coder-pro-v2KAT Coder Pro V2 |
— | 262,144 | $0.3165/1M | $0.0633/1M | $1.266/1M |
kwaipilot/kat-coder-pro-v2.5KAT Coder Pro V2.5 |
— | 262,144 | $0.7807/1M | $0.15825/1M | $3.1228/1M |
meituan-longcat/longcat-2.0LongCat 2.0 |
IQ 101#86 | 1,048,756 | $0.79125/1M | $0.015825/1M | $3.165/1M |
minimax/hailuo-3MiniMax Hailuo 3 (H3) |
— | 7,000 | selected route | Not published | selected route |
minimax/minimax-m2.5MiniMax: MiniMax M2.5 |
IQ 106#74 | 196,608 | $0.311225/1M | $0.0633/1M | $1.266/1M |
minimax/minimax-m2.7MiniMax: MiniMax M2.7 |
IQ 107#72 | 196,608 | $0.3165/1M | $0.0633/1M | $1.266/1M |
minimax/minimax-m3MiniMax: MiniMax M3 |
IQ 115#45 | 524,288 | $0.3165/1M | $0.0633/1M | $1.266/1M |
moonshotai/kimi-k2.5MoonshotAI: Kimi K2.5 |
IQ 111#57 | 262,144 | $0.51695/1M | $0.211/1M | $2.6375/1M |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 118#35 | 262,144 | $1.00225/1M | $0.1688/1M | $4.22/1M |
moonshotai/kimi-k2.7-codeMoonshotAI: Kimi K2.7 Code |
IQ 108#66 | 262,144 | $1.00225/1M | $0.1688/1M | $4.22/1M |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 121#27 | 1,048,576 | $3.165/1M | $0.3165/1M | $15.825/1M |
openai/gpt-4.1-miniOpenAI: GPT-4.1 Mini |
— | 1,047,576 | $0.422/1M | $0.1055/1M | $1.688/1M |
openai/gpt-5.4-miniOpenAI: GPT-5.4 Mini |
IQ 112#54 | 400,000 | $0.79125/1M | $0.079125/1M | $4.7475/1M |
openai/gpt-5.5OpenAI: GPT-5.5 |
IQ 133#6 | 1,050,000 | $5.275/1M | $0.5275/1M | $31.65/1M |
openai/gpt-5.6-lunaOpenAI: GPT-5.6 Luna |
IQ 125#12 | 1,050,000 | $0.211/1M | $0.0211/1M | $1.266/1M |
openai/gpt-5.6-luna-azGPT 5.6 Luna |
— | 1,050,000 | $0.211/1M | $0.0211/1M | $1.266/1M |
openai/gpt-5.6-solOpenAI: GPT-5.6 Sol |
IQ 136#4 | 1,050,000 | $5.275/1M | $0.5275/1M | $31.65/1M |
openai/gpt-5.6-sol-azGPT 5.6 Sol |
— | 1,050,000 | $5.275/1M | $0.5275/1M | $31.65/1M |
openai/gpt-5.6-terraOpenAI: GPT-5.6 Terra |
IQ 129#10 | 1,050,000 | $2.11/1M | $0.211/1M | $12.66/1M |
openai/gpt-5.6-terra-azGPT 5.6 Terra |
— | 1,050,000 | $2.11/1M | $0.211/1M | $12.66/1M |
openai/gpt-6-astraOpenAI: GPT-6 Astra |
IQ 139#1 | 1,050,000 | $10.55/1M | $1.055/1M | $52.75/1M |
qwen/qwen3-235b-a22b-2507Qwen: Qwen3 235B A22B Instruct 2507 |
— | 262,144 | $0.211/1M | $0.211/1M | $0.9284/1M |
qwen/qwen3-vl-235b-a22b-thinkingQwen: Qwen3 VL 235B A22B Thinking |
— | 131,072 | $0.5275/1M | $0.5275/1M | $2.6375/1M |
qwen/qwen3.5-122b-a10bQwen: Qwen3.5-122B-A10B |
— | 262,144 | $0.3165/1M | $0.3165/1M | $2.532/1M |
qwen/qwen3.5-27bQwen: Qwen3.5-27B |
— | 262,144 | $0.28485/1M | $0.28485/1M | $2.2788/1M |
qwen/qwen3.5-35b-a3bQwen: Qwen3.5-35B-A3B |
— | 262,144 | $0.237375/1M | $0.237375/1M | $1.899/1M |
qwen/qwen3.5-397b-a17bQwen: Qwen3.5 397B A17B |
— | 262,144 | $0.58025/1M | $0.58025/1M | $3.6925/1M |
qwen/qwen3.5-flashQwen3.5 Flash |
— | 1,000,000 | $0.1055/1M | $0.1055/1M | $0.422/1M |
qwen/qwen3.5-plusQwen3.5 Plus |
— | 1,000,000 | $0.422/1M | $0.0422/1M | $2.532/1M |
qwen/qwen3.6-35b-a3bQwen: Qwen3.6 35B A3B |
IQ 100#94 | 262,144 | $0.19623/1M | $0.19623/1M | $1.175007/1M |
qwen/qwen3.6-plusQwen3.6 Plus |
IQ 108#69 | 262,144 | $0.342875/1M | $0.034288/1M | $2.05725/1M |
qwen/qwen3.7-maxQwen3.7 Max |
IQ 119#31 | 1,000,000 | $2.6375/1M | $0.5275/1M | $7.9125/1M |
qwen/qwen3.7-plusQwen3.7 Plus |
IQ 111#58 | 1,000,000 | $0.422/1M | $0.0844/1M | $1.688/1M |
qwen/qwen3.8-27bQwen: Qwen3.8 27B |
IQ 110#60 | 262,144 | $0.5275/1M | $0.05275/1M | $3.165/1M |
qwen/qwen3.8-maxQwen3.8 Max |
IQ 122#25 | 1,000,000 | $2.11/1M | $0.26375/1M | $6.33/1M |
tencent/hy3Tencent: Hy3 |
IQ 100#90 | 262,144 | $0.211/1M | $0.05275/1M | $0.844/1M |
x-ai/grok-4.3SpaceXAI: Grok 4.3 |
IQ 115#44 | 1,000,000 | $1.31875/1M | $0.211/1M | $2.6375/1M |
x-ai/grok-4.5SpaceXAI: Grok 4.5 |
IQ 122#22 | 500,000 | $2.11/1M | $0.3165/1M | $6.33/1M |
x-ai/grok-4.6SpaceXAI: Grok 4.6 |
IQ 124#17 | 500,000 | $2.11/1M | $0.5275/1M | $6.33/1M |
x-ai/grok-build-0.1SpaceXAI: Grok Build 0.1 |
— | 256,000 | $1.055/1M | $0.211/1M | $2.11/1M |
xiaomi/mimo-v2.5Xiaomi: MiMo-V2.5 |
IQ 108#67 | 1,050,000 | $0.1477/1M | $0.01/1M | $0.2954/1M |
xiaomi/mimo-v2.5-proXiaomi: MiMo-V2.5-Pro |
IQ 112#55 | 1,050,000 | $0.458925/1M | $0.01/1M | $0.91785/1M |
z-ai/glm-4.6Z.ai: GLM 4.6 |
— | 202,752 | $0.633/1M | $0.11605/1M | $2.321/1M |
z-ai/glm-4.7Z.ai: GLM 4.7 |
IQ 103#81 | 202,752 | $0.5486/1M | $0.1266/1M | $1.95175/1M |
z-ai/glm-5Z.ai: GLM 5 |
IQ 105#75 | 202,752 | $1.00225/1M | $0.20045/1M | $3.32325/1M |
z-ai/glm-5.1Z.ai: GLM 5.1 |
IQ 113#49 | 202,752 | $1.3293/1M | $0.24687/1M | $4.1778/1M |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#28 | 1,048,576 | $1.477/1M | $0.2743/1M | $4.642/1M |
z-ai/glm-5.3Z.ai: GLM 5.3 |
IQ 123#18 | 1,048,576 | $1.477/1M | $0.2743/1M | $4.642/1M |
z-ai/glm-5.3-flashZ.ai: GLM 5.3 Flash |
IQ 116#40 | 1,048,576 | $0.15825/1M | $0.03165/1M | $0.5275/1M |
z-ai/glm-5v-turboZ.ai: GLM 5V Turbo |
— | 202,752 | $1.266/1M | $0.2532/1M | $4.22/1M |
Questions
Does Atlas Cloud have zero data retention?
TrustedRouter does not currently mark Atlas Cloud as provider-level zero data retention. Use trustedrouter/zdr or provider.min_privacy=zdr to select a different eligible route, and review the linked policy source for changes.
Is Atlas Cloud end-to-end encrypted?
TrustedRouter does not currently mark Atlas Cloud as end-to-end encrypted at the provider boundary. The TrustedRouter gateway is still attested, but the selected provider normally receives the request in order to run the model. Use trustedrouter/e2e for the stronger route requirement.
Which Atlas Cloud models are available through TrustedRouter?
This page currently lists 78 public Atlas Cloud models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.