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
These privacy labels describe IO Intelligence, the upstream model provider. ZDR is a retention policy; verified confidential inference additionally requires attested provider compute and end-to-end encryption.
| Provider | IO Intelligence |
|---|---|
| Routing status | Active |
| Provider website | https://io.net/ai/ |
| Models | 34 public models |
| Credits routes | 34 |
| Zero data retention | not claimed |
| Verified confidential inference | Not verified |
| 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
36 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 | 2023 ms |
|---|---|
| Effective throughput | 119 tok/s n=8 |
| Uptime | 100.00% |
| Model | p50 TTFT | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|
| deepseek/deepseek-v3.2 | 941 ms | — | 100.00% | — | 1 |
| qwen/qwen3.6-35b-a3b | 1361 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k2.7-code | 1370 ms | — | 100.00% | — | 2 |
| moonshotai/kimi-k2.5 | 1468 ms | — | 100.00% | — | 1 |
| mistralai/mistral-nemo-instruct-2407 | 1480 ms | — | 100.00% | — | 2 |
| deepseek/deepseek-v4-flash-0731 | 1512 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.1 | 1547 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.2 | 1616 ms | — | 100.00% | — | 1 |
| minimax/minimax-m2.5 | 1746 ms | — | 100.00% | — | 2 |
| z-ai/glm-5.3-flash | 1804 ms | — | 100.00% | — | 2 |
| openai/gpt-oss-120b | 1851 ms | 149 tok/s n=3 | 100.00% | — | 1 |
| z-ai/glm-4.7 | 2023 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k3 | 2147 ms | 192 tok/s n=1 | 100.00% | — | 1 |
| intel/qwen3-coder-480b-a35b-instruct-int4-mixed-ar | 2378 ms | — | 100.00% | — | 1 |
| qwen/qwen3.6-27b | 2936 ms | — | 100.00% | — | 1 |
| meta-llama/llama-4-maverick-17b-128e-instruct-fp8 | 3065 ms | — | 100.00% | — | 1 |
| meta-llama/llama-3.3-70b-instruct | 3224 ms | — | 100.00% | — | 2 |
| deepseek/deepseek-v4-pro | 3384 ms | — | 100.00% | — | 2 |
| moonshotai/kimi-k2-instruct-0905 | 3485 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.3 | 3523 ms | — | 100.00% | — | 3 |
| qwen/qwen3-next-80b-a3b-instruct | 3792 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k2-thinking | 4255 ms | — | 100.00% | — | 1 |
| xiaomi/mimo-v2.5 | 8126 ms | — | 100.00% | — | 1 |
| z-ai/glm-4.7-flash | 13335 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v4.1-flash | — | — | 100.00% | — | 4 |
| deepseek/deepseek-v4-flash | — | 89 tok/s n=2 | — | — | 0 |
| moonshotai/kimi-k2.6 | — | 76 tok/s n=2 | — | — | 0 |
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 | Input | Cached input | Output |
|---|---|---|---|---|---|
deepseek/deepseek-r1-0528DeepSeek: R1 0528 |
— | 163,840 | $0.598977/1M | $0.299489/1M | $2.404345/1M |
deepseek/deepseek-v3.2DeepSeek: DeepSeek V3.2 |
IQ 103#77 | 163,840 | $1.508756/1M | $0.754378/1M | $2.538647/1M |
deepseek/deepseek-v4-flashDeepSeek: DeepSeek V4 Flash 0423 |
IQ 116#37 | 1,048,576 | $0.364144/1M | $0.182072/1M | $0.614348/1M |
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | $0.242482/1M | $0.121241/1M | $0.770699/1M |
deepseek/deepseek-v4-proDeepSeek: DeepSeek V4 Pro 0423 |
IQ 114#47 | 1,048,576 | $1.79561/1M | $0.897805/1M | $3.59122/1M |
deepseek/deepseek-v4.1-flashDeepSeek: DeepSeek V4.1 Flash |
IQ 116#38 | 1,048,576 | $0.34182/1M | $0.17091/1M | $1.36728/1M |
google/gemma-4-26b-a4b-itGoogle: Gemma 4 26B A4B |
IQ 100#89 | 262,144 | $0.10339/1M | $0.051695/1M | $0.35237/1M |
intel/qwen3-coder-480b-a35b-instruct-int4-mixed-arIntel: Qwen3 Coder 480B A35B Instruct INT4 Mixed AR |
— | 106,000 | $0.469475/1M | $0.234738/1M | $2.262975/1M |
meta-llama/llama-3.3-70b-instructMeta: Llama 3.3 70B Instruct |
— | 131,072 | $0.639963/1M | $0.319982/1M | $1.095723/1M |
meta-llama/llama-4-maverick-17b-128e-instruct-fp8Llama 4 Maverick Instruct |
— | 1,048,576 | $0.265729/1M | $0.132865/1M | $0.871035/1M |
minimax/minimax-m2.5MiniMax: MiniMax M2.5 |
IQ 106#74 | 196,608 | $0.372415/1M | $0.186208/1M | $1.49388/1M |
mistralai/mistral-nemo-instruct-2407mistralai/Mistral-Nemo-Instruct-2407 |
— | 131,072 | $0.066993/1M | $0.033497/1M | $0.104182/1M |
moonshotai/kimi-k2-instruct-0905moonshotai/Kimi-K2-Instruct-0905 |
— | 262,144 | $0.60135/1M | $0.300675/1M | $2.4265/1M |
moonshotai/kimi-k2-thinkingMoonshotAI: Kimi K2 Thinking |
IQ 91#116 | 262,144 | $0.633/1M | $0.3165/1M | $2.6375/1M |
moonshotai/kimi-k2.5MoonshotAI: Kimi K2.5 |
IQ 111#57 | 262,144 | $0.589112/1M | $0.294556/1M | $3.096425/1M |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 118#35 | 262,144 | $0.883352/1M | $0.441676/1M | $3.791586/1M |
moonshotai/kimi-k2.7-codeMoonshotAI: Kimi K2.7 Code |
IQ 108#66 | 262,144 | $0.93051/1M | $0.465255/1M | $4.06175/1M |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 121#27 | 1,048,576 | $3.38655/1M | $1.693275/1M | $16.458/1M |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 98#99 | 131,072 | $0.18779/1M | $0.093895/1M | $0.7174/1M |
openai/gpt-oss-20bOpenAI: gpt-oss-20b |
IQ 93#113 | 131,072 | $0.062245/1M | $0.031123/1M | $0.21733/1M |
qwen/qwen3-next-80b-a3b-instructQwen: Qwen3 Next 80B A3B Instruct |
— | 262,144 | $0.123963/1M | $0.061982/1M | $1.19848/1M |
qwen/qwen3.6-27bQwen: Qwen3.6 27B |
IQ 108#68 | 262,144 | $0.361865/1M | $0.180933/1M | $3.17555/1M |
qwen/qwen3.6-35b-a3bQwen: Qwen3.6 35B A3B |
IQ 100#94 | 262,144 | $0.205936/1M | $0.102968/1M | $1.357522/1M |
qwen/qwen3.8-27bQwen: Qwen3.8 27B |
IQ 110#60 | 262,144 | $0.32494/1M | $0.16247/1M | $2.88015/1M |
xiaomi/mimo-v2.5Xiaomi: MiMo-V2.5 |
IQ 108#67 | 1,050,000 | $0.212899/1M | $0.10645/1M | $0.678998/1M |
z-ai/glm-4.5-airZ.ai: GLM 4.5 Air |
— | 131,072 | $0.165284/1M | $0.082643/1M | $0.988184/1M |
z-ai/glm-4.6Z.ai: GLM 4.6 |
— | 202,752 | $0.56548/1M | $0.28274/1M | $2.18385/1M |
z-ai/glm-4.7Z.ai: GLM 4.7 |
IQ 103#81 | 202,752 | $0.9284/1M | $0.4642/1M | $2.50035/1M |
z-ai/glm-4.7-flashZ.ai: GLM 4.7 Flash |
— | 131,072 | $0.066993/1M | $0.033497/1M | $0.422/1M |
z-ai/glm-5Z.ai: GLM 5 |
IQ 105#75 | 202,752 | $0.9073/1M | $0.45365/1M | $2.90336/1M |
z-ai/glm-5.1Z.ai: GLM 5.1 |
IQ 113#49 | 202,752 | $1.43269/1M | $0.716345/1M | $4.50274/1M |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#28 | 1,048,576 | $2.0678/1M | $1.0339/1M | $6.4988/1M |
z-ai/glm-5.3Z.ai: GLM 5.3 |
IQ 123#18 | 1,048,576 | $1.58461/1M | $0.792305/1M | $5.01336/1M |
z-ai/glm-5.3-flashZ.ai: GLM 5.3 Flash |
IQ 116#40 | 1,048,576 | $0.21944/1M | $0.10972/1M | $0.73217/1M |
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 34 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.