IO Intelligence
Explore IO Intelligence models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
IO Intelligenceio-net
No provider claim| Provider | IO Intelligence |
|---|---|
| Routing status | Active |
| Provider website | https://io.net/ai/ |
| Models | 32 public models |
| Prepaid routes | 32 |
| BYOK routes | 0 |
| Zero data retention | not claimed |
| Confidential compute | not claimed |
| Provider E2EE | not claimed |
| Policy note | IO Intelligence publishes exact per-token prices in its authenticated catalog. TrustedRouter admits only priced routes that pass a live chat canary. No contractual ZDR, confidential-compute, or E2EE claim is tracked for this account, so these routes are Standard. Policy source |
Measured performance
4 samplesContinuously sampled across IO Intelligence'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 | 2217 ms |
|---|---|
| Effective throughput | — |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| qwen/qwen3.6-27b | 1814 ms | — | 100.00% | — | 1 |
| z-ai/glm-4.6 | 2217 ms | — | 100.00% | — | 1 |
| google/gemma-4-26b-a4b-it | 3686 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v4-flash-0731 | — | — | 100.00% | — | 1 |
IO Intelligence performance history · Full provider & model leaderboard.
Models served by IO Intelligence.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Endpoints | Prompt | Completion | Routes |
|---|---|---|---|---|---|---|
deepseek/deepseek-r1-0528DeepSeek: R1 0528 |
— | 163,840 | 1 | $0.598977/1M | $2.404345/1M | prepaid |
deepseek/deepseek-v3.2DeepSeek: DeepSeek V3.2 |
IQ 103#66 | 163,840 | 1 | $0.928506/1M | $1.757947/1M | prepaid |
deepseek/deepseek-v4-flashDeepSeek: DeepSeek V4 Flash 0423 |
IQ 113#42 | 1,048,576 | 1 | $0.20678/1M | $0.53594/1M | prepaid |
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,310,720 | 1 | $0.240245/1M | $0.62397/1M | prepaid |
deepseek/deepseek-v4-proDeepSeek: DeepSeek V4 Pro 0423 |
IQ 117#32 | 1,048,576 | 1 | $1.71754/1M | $3.48994/1M | prepaid |
google/gemma-4-26b-a4b-itGoogle: Gemma 4 26B A4B |
IQ 96#93 | 262,144 | 1 | $0.11605/1M | $0.43044/1M | prepaid |
intel/qwen3-coder-480b-a35b-instruct-int4-mixed-arIntel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR |
— | 106,000 | 1 | $0.469475/1M | $2.262975/1M | prepaid |
meta-llama/llama-3.3-70b-instructMeta: Llama 3.3 70B Instruct |
— | 131,072 | 1 | $0.63089/1M | $0.77859/1M | prepaid |
meta-llama/llama-4-maverick-17b-128e-instruct-fp8Llama 4 Maverick Instruct |
— | 1,048,576 | 1 | $0.28907/1M | $0.948656/1M | prepaid |
minimax/minimax-m2.5MiniMax: MiniMax M2.5 |
IQ 105#65 | 204,800 | 1 | $0.30384/1M | $1.18793/1M | prepaid |
mistralai/mistral-nemo-instruct-2407mistralai/Mistral-Nemo-Instruct-2407 |
— | 131,072 | 1 | $0.031299/1M | $0.080884/1M | prepaid |
moonshotai/kimi-k2-instruct-0905moonshotai/Kimi-K2-Instruct-0905 |
— | 262,144 | 1 | $0.60135/1M | $2.4265/1M | prepaid |
moonshotai/kimi-k2-thinkingMoonshotAI: Kimi K2 Thinking |
IQ 94#99 | 262,144 | 1 | $0.633/1M | $2.6375/1M | prepaid |
moonshotai/kimi-k2.5MoonshotAI: Kimi K2.5 |
IQ 111#48 | 262,144 | 1 | $0.574342/1M | $3.012025/1M | prepaid |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 119#24 | 262,144 | 1 | $0.81235/1M | $3.86552/1M | prepaid |
moonshotai/kimi-k2.7-codeMoonshotAI: Kimi K2.7 Code |
IQ 118#29 | 262,144 | 1 | $1.03812/1M | $4.72429/1M | prepaid |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 123#17 | 1,048,576 | 1 | $3.19665/1M | $15.98325/1M | prepaid |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 105#63 | 131,072 | 1 | $0.18779/1M | $0.7174/1M | prepaid |
openai/gpt-oss-20bOpenAI: gpt-oss-20b |
IQ 100#79 | 131,072 | 1 | $0.064355/1M | $0.2321/1M | prepaid |
qwen/qwen3-next-80b-a3b-instructQwen: Qwen3 Next 80B A3B Instruct |
— | 262,144 | 1 | $0.123963/1M | $1.19848/1M | prepaid |
qwen/qwen3.6-27bQwen: Qwen3.6 27B |
IQ 111#49 | 262,144 | 1 | $0.420945/1M | $3.36545/1M | prepaid |
qwen/qwen3.6-35b-a3bQwen: Qwen3.6 35B A3B |
IQ 100#80 | 262,144 | 1 | $0.197496/1M | $1.315322/1M | prepaid |
qwen/qwen3.8-27bQwen: Qwen3.8 27B |
IQ 112#46 | 1,000,000 | 1 | $0.47475/1M | $3.42875/1M | prepaid |
xiaomi/mimo-v2.5Xiaomi: MiMo-V2.5 |
IQ 109#52 | 1,050,000 | 1 | $0.204037/1M | $0.661274/1M | prepaid |
z-ai/glm-4.5-airZ.ai: GLM 4.5 Air |
— | 131,072 | 1 | $0.165284/1M | $0.988184/1M | prepaid |
z-ai/glm-4.6Z.ai: GLM 4.6 |
— | 204,800 | 1 | $0.56548/1M | $2.18385/1M | prepaid |
z-ai/glm-4.7Z.ai: GLM 4.7 |
IQ 103#68 | 204,800 | 1 | $0.9284/1M | $2.50035/1M | prepaid |
z-ai/glm-4.7-flashZ.ai: GLM 4.7 Flash |
— | 202,752 | 1 | $0.06607/1M | $0.422/1M | prepaid |
z-ai/glm-5Z.ai: GLM 5 |
IQ 105#62 | 204,800 | 1 | $0.8862/1M | $2.8696/1M | prepaid |
z-ai/glm-5.1Z.ai: GLM 5.1 |
IQ 114#39 | 204,800 | 1 | $1.328456/1M | $4.307776/1M | prepaid |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#20 | 1,048,576 | 1 | $1.63736/1M | $5.15262/1M | prepaid |
z-ai/glm-5.3Z.ai: GLM 5.3 |
IQ 123#15 | 1,048,576 | 1 | $1.477/1M | $4.642/1M | prepaid |
Questions
Does IO Intelligence have zero data retention?
TrustedRouter does not currently mark IO Intelligence 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 IO Intelligence end-to-end encrypted?
TrustedRouter does not currently mark IO Intelligence 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 IO Intelligence models are available through TrustedRouter?
This page currently lists 32 public IO Intelligence models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.