Novita AI
Explore Novita AI models on TrustedRouter with current routes, token pricing, policy sources, privacy posture, regional availability, and API support.
Novita AInovita
No provider claim| Provider | Novita AI |
|---|---|
| Provider website | https://novita.ai/ |
| Models | 109 public models |
| Prepaid routes | 91 |
| BYOK routes | 109 |
| Zero data retention | not claimed |
| Confidential compute | not claimed |
| Provider E2EE | not claimed |
| Policy note | No provider-ZDR claim is tracked here. Novita's privacy policy says personal information is not used for model training; customer-content processing is governed by customer agreements. Policy source |
Measured performance
467 samplesContinuously sampled across Novita AI'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 | 7695 ms |
|---|---|
| Effective throughput | 57 tok/s n=14 |
| Uptime | 33.83% |
| Model | p50 TTFT | p50 TTFB | Effective throughput | Uptime | Config excluded | Availability samples |
|---|---|---|---|---|---|---|
| microsoft/wizardlm-2-8x22b | 7695 ms | 4820 ms | — | 25.67% | — | 409 |
| qwen/qwen3-235b-a22b-instruct-2507 | 985 ms | 985 ms | — | 100.00% | — | 1 |
| zai-org/glm-4.5-air | 1181 ms | 1181 ms | — | 100.00% | — | 1 |
| minimax/minimax-m3 | 1206 ms | 1206 ms | 57 tok/s n=2 | 100.00% | — | 1 |
| qwen/qwen3-omni-30b-a3b-thinking | 1230 ms | 1229 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-v4-flash-0731 | 1348 ms | 1348 ms | 58 tok/s n=1 | 100.00% | — | 1 |
| moonshotai/kimi-k2-instruct | 1394 ms | 1393 ms | — | 100.00% | — | 2 |
| qwen/qwen3-235b-a22b-thinking-2507 | 1403 ms | 1403 ms | — | 100.00% | — | 1 |
| sao10k/l31-70b-euryale-v2.2 | 1802 ms | 1802 ms | — | 100.00% | — | 1 |
| openai/gpt-oss-20b | 1850 ms | 1850 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-r1-distill-llama-70b | 1908 ms | 1908 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k2-0905 | 1923 ms | 1923 ms | — | 100.00% | 3 provider_error |
2 |
| deepseek/deepseek-v3-turbo | 2181 ms | 2180 ms | — | 100.00% | — | 2 |
| minimax/minimax-m2.5-highspeed | 2336 ms | 2336 ms | — | 100.00% | — | 1 |
| qwen/qwen3.8-max | 2821 ms | 2821 ms | — | 100.00% | — | 2 |
| Sao10K/L3-8B-Stheno-v3.2 | 2859 ms | 2859 ms | — | 100.00% | — | 8 |
| qwen/qwen3-next-80b-a3b-instruct | 3268 ms | 3268 ms | — | 100.00% | — | 1 |
| inclusionai/ring-2.6-1t | 3415 ms | 3414 ms | — | 100.00% | — | 1 |
| minimaxai/minimax-m1-80k | 3650 ms | 3650 ms | — | 100.00% | — | 2 |
| qwen/qwen3.6-27b | 3714 ms | 3713 ms | — | 100.00% | — | 1 |
| moonshotai/kimi-k2.7-code | 3806 ms | 3806 ms | 42 tok/s n=1 | 100.00% | — | 1 |
| qwen/qwen3.5-397b-a17b | 3951 ms | 3951 ms | — | 100.00% | — | 1 |
| minimax/minimax-m2.1 | 4159 ms | 4158 ms | — | 100.00% | — | 2 |
| qwen/qwen3-omni-30b-a3b-instruct | 4250 ms | 4250 ms | — | 100.00% | — | 1 |
| inclusionai/ling-2.6-flash | 4267 ms | 4267 ms | — | 100.00% | — | 1 |
| google/gemma-4-31b-it | 4323 ms | 4322 ms | 31 tok/s n=1 | 100.00% | — | 2 |
| qwen/qwen3-vl-235b-a22b-instruct | 4430 ms | 4430 ms | — | 100.00% | — | 1 |
| deepseek/deepseek-r1-0528 | 4569 ms | 4569 ms | — | 100.00% | — | 1 |
| z-ai/glm-5.2 | 4707 ms | 4707 ms | 60 tok/s n=2 | 100.00% | — | 1 |
| stepfun/step-3.7-flash | 8329 ms | 8329 ms | — | 100.00% | — | 3 |
| moonshotai/kimi-k2.5 | 18267 ms | 18267 ms | — | 100.00% | — | 1 |
| baidu/ernie-4.5-vl-424b-a47b | — | — | — | 100.00% | — | 2 |
| kwaipilot/kat-coder-pro | — | — | — | 100.00% | — | 1 |
| mindai/macaron-v1-venti | — | — | — | 100.00% | — | 1 |
| qwen/qwen-2.5-72b-instruct | — | — | — | 100.00% | — | 1 |
| zai-org/autoglm-phone-9b-multilingual | — | — | — | 100.00% | 1 provider_error |
1 |
| zai-org/glm-4.6 | 3643 ms | 3642 ms | — | 50.00% | — | 2 |
| baichuan/baichuan-m2-32b | — | — | — | 0.00% | — | 2 |
| baidu/cobuddy | — | — | — | 0.00% | — | 1 |
| deepseek/deepseek-v4-flash | — | — | 61 tok/s n=2 | — | — | 0 |
| google/gemma-3-12b-it | — | — | — | 0.00% | — | 1 |
| inclusionai/ling-3.0-flash | — | — | 121 tok/s n=1 | — | — | 0 |
| moonshotai/kimi-k2.6 | — | — | 34 tok/s n=1 | — | — | 0 |
| moonshotai/kimi-k3 | — | — | 29 tok/s n=1 | — | — | 0 |
| openai/gpt-oss-120b | — | — | 20 tok/s n=1 | — | — | 0 |
| qwen/qwen3.7-max | — | — | 85 tok/s n=1 | — | — | 0 |
Novita AI performance history · Full provider & model leaderboard.
Models served by Novita AI.
Each row links to pricing, provider, benchmark, and API pages for the model.
| Model | AI IQ | Context | Endpoints | Prompt | Completion | Routes |
|---|---|---|---|---|---|---|
Sao10K/L3-8B-Stheno-v3.2L3 8B Stheno V3.2 |
— | 8,192 | 2 | $0.05275/1M | $0.05275/1M | prepaid BYOK |
baichuan/baichuan-m2-32bBaiChuan M2 32B |
— | 131,072 | 2 | $0.07385/1M | $0.07385/1M | prepaid BYOK |
baidu/cobuddyCoBuddy |
— | 131,072 | 2 | $0.2954/1M | $1.19215/1M | prepaid BYOK |
baidu/ernie-4.5-21B-a3bERNIE 4.5 21B A3B |
— | 120,000 | 2 | $0.07385/1M | $0.2954/1M | prepaid BYOK |
baidu/ernie-4.5-21B-a3b-thinkingERNIE-4.5-21B-A3B-Thinking |
— | 131,072 | 1 | $0.07385/1M | $0.2954/1M | BYOK |
baidu/ernie-4.5-300b-a47b-paddleERNIE 4.5 300B A47B |
— | 123,000 | 1 | $0.2954/1M | $1.1605/1M | BYOK |
baidu/ernie-4.5-vl-28b-a3b-thinkingERNIE-4.5-VL-28B-A3B-Thinking |
— | 131,072 | 1 | $0.41145/1M | $0.41145/1M | BYOK |
baidu/ernie-4.5-vl-424b-a47bBaidu: ERNIE 4.5 VL 424B A47B |
— | 123,000 | 2 | $0.4431/1M | $1.31875/1M | prepaid BYOK |
deepseek/deepseek-ocrDeepSeek-OCR |
— | 8,192 | 2 | $0.03165/1M | $0.03165/1M | prepaid BYOK |
deepseek/deepseek-ocr-2DeepSeek-OCR 2 |
— | 8,192 | 2 | $0.03165/1M | $0.03165/1M | prepaid BYOK |
deepseek/deepseek-prover-v2-671bDeepseek Prover V2 671B |
— | 160,000 | 1 | $0.7385/1M | $2.6375/1M | BYOK |
deepseek/deepseek-r1-0528DeepSeek: R1 0528 |
— | 163,840 | 2 | $0.7385/1M | $2.6375/1M | prepaid BYOK |
deepseek/deepseek-r1-0528-qwen3-8bDeepSeek R1 0528 Qwen3 8B |
— | 128,000 | 1 | $0.0633/1M | $0.09495/1M | BYOK |
deepseek/deepseek-r1-distill-llama-70bDeepSeek: R1 Distill Llama 70B |
— | 8,192 | 2 | $0.844/1M | $0.844/1M | prepaid BYOK |
deepseek/deepseek-r1-turboDeepSeek R1 (Turbo) |
— | 64,000 | 2 | $0.7385/1M | $2.6375/1M | prepaid BYOK |
deepseek/deepseek-v3-0324DeepSeek V3 0324 |
— | 163,840 | 2 | $0.28485/1M | $1.1816/1M | prepaid BYOK |
deepseek/deepseek-v3-turboDeepSeek V3 (Turbo) |
— | 64,000 | 2 | $0.422/1M | $1.3715/1M | prepaid BYOK |
deepseek/deepseek-v3.1DeepSeek V3.1 |
IQ 96#88 | 131,072 | 2 | $0.28485/1M | $1.055/1M | prepaid BYOK |
deepseek/deepseek-v3.1-terminusDeepSeek: DeepSeek V3.1 Terminus |
— | 163,840 | 2 | $0.28485/1M | $1.055/1M | prepaid BYOK |
deepseek/deepseek-v3.2DeepSeek: DeepSeek V3.2 |
IQ 103#64 | 163,840 | 2 | $0.283795/1M | $0.422/1M | prepaid BYOK |
deepseek/deepseek-v3.2-expDeepSeek: DeepSeek V3.2 Exp |
— | 163,840 | 2 | $0.28485/1M | $0.43255/1M | prepaid BYOK |
deepseek/deepseek-v4-flashDeepSeek: DeepSeek V4 Flash 0423 |
IQ 113#41 | 1,048,576 | 2 | $0.1477/1M | $0.2954/1M | prepaid BYOK |
deepseek/deepseek-v4-flash-0731DeepSeek: DeepSeek V4 Flash 0731 |
— | 1,048,576 | 2 | $0.1477/1M | $0.2954/1M | prepaid BYOK |
deepseek/deepseek-v4-proDeepSeek: DeepSeek V4 Pro |
IQ 117#31 | 1,048,576 | 2 | $1.688/1M | $3.376/1M | prepaid BYOK |
google/gemma-3-12b-itGoogle: Gemma 3 12B |
— | 131,072 | 2 | $0.05275/1M | $0.1055/1M | prepaid BYOK |
google/gemma-3-27b-itGoogle: Gemma 3 27B |
— | 262,144 | 2 | $0.125545/1M | $0.211/1M | prepaid BYOK |
google/gemma-4-26b-a4b-itGoogle: Gemma 4 26B A4B |
IQ 96#89 | 262,144 | 2 | $0.13715/1M | $0.422/1M | prepaid BYOK |
google/gemma-4-31b-itGoogle: Gemma 4 31B |
IQ 101#73 | 262,144 | 2 | $0.1477/1M | $0.422/1M | prepaid BYOK |
gryphe/mythomax-l2-13bMythoMax 13B |
— | 8,192 | 1 | $0.09495/1M | $0.09495/1M | BYOK |
inclusionai/ling-2.6-1tinclusionAI: Ling-2.6-1T |
— | 262,144 | 2 | $0.3165/1M | $2.6375/1M | prepaid BYOK |
inclusionai/ling-2.6-flashinclusionAI: Ling-2.6-flash |
— | 262,144 | 2 | $0.1055/1M | $0.3165/1M | prepaid BYOK |
inclusionai/ling-3.0-flashLing-3.0-flash |
IQ 92#100 | 262,144 | 2 | $0.0633/1M | $0.1899/1M | prepaid BYOK |
inclusionai/ring-2.6-1tinclusionAI: Ring-2.6-1T |
IQ 101#75 | 262,144 | 2 | $0.3165/1M | $2.6375/1M | prepaid BYOK |
kwaipilot/kat-coder-proKat Coder Pro |
— | 256,000 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
meta-llama/llama-3-8b-instructLlama 3 8B Instruct |
— | 8,192 | 1 | $0.0422/1M | $0.0422/1M | BYOK |
meta-llama/llama-3.1-8b-instructMeta: Llama 3.1 8B Instruct |
— | 131,072 | 2 | $0.0211/1M | $0.05275/1M | prepaid BYOK |
meta-llama/llama-3.2-3b-instructMeta: Llama 3.2 3B Instruct |
— | 131,072 | 1 | $0.03165/1M | $0.05275/1M | BYOK |
meta-llama/llama-3.3-70b-instructMeta: Llama 3.3 70B Instruct |
— | 131,072 | 2 | $0.142425/1M | $0.422/1M | prepaid BYOK |
meta-llama/llama-4-maverick-17b-128e-instruct-fp8Llama 4 Maverick Instruct |
— | 1,048,576 | 2 | $0.28485/1M | $0.89675/1M | prepaid BYOK |
meta-llama/llama-4-scout-17b-16e-instructLlama 4 Scout Instruct |
— | 131,072 | 2 | $0.1899/1M | $0.62245/1M | prepaid BYOK |
microsoft/wizardlm-2-8x22bWizardLM-2 8x22B |
— | 65,535 | 2 | $0.6541/1M | $0.6541/1M | prepaid BYOK |
mindai/macaron-v1-tallMacaron V1 Tall |
— | 262,144 | 2 | $0.47475/1M | $2.743/1M | prepaid BYOK |
mindai/macaron-v1-ventiMacaron V1 Venti |
— | 1,048,576 | 2 | $1.5825/1M | $4.7475/1M | prepaid BYOK |
minimax/minimax-m2MiniMax: MiniMax M2 |
— | 204,800 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
minimax/minimax-m2.1MiniMax: MiniMax M2.1 |
IQ 102#70 | 204,800 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
minimax/minimax-m2.5MiniMax: MiniMax M2.5 |
IQ 105#63 | 204,800 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
minimax/minimax-m2.5-highspeedMiniMax M2.5-highspeed |
— | 204,800 | 2 | $0.633/1M | $2.532/1M | prepaid BYOK |
minimax/minimax-m2.7MiniMax: MiniMax M2.7 |
IQ 109#50 | 204,800 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
minimax/minimax-m3MiniMax: MiniMax M3 |
IQ 114#39 | 1,048,576 | 2 | $0.3165/1M | $1.266/1M | prepaid BYOK |
minimaxai/minimax-m1-80kMiniMax M1 |
— | 1,000,000 | 2 | $0.58025/1M | $2.321/1M | prepaid BYOK |
mistralai/mistral-nemoMistral: Mistral Nemo |
— | 131,072 | 2 | $0.0422/1M | $0.17935/1M | prepaid BYOK |
moonshotai/kimi-k2-0905MoonshotAI: Kimi K2 0905 |
— | 262,144 | 2 | $0.633/1M | $2.6375/1M | prepaid BYOK |
moonshotai/kimi-k2-instructKimi K2 Instruct |
IQ 94#96 | 131,072 | 2 | $0.60135/1M | $2.4265/1M | prepaid BYOK |
moonshotai/kimi-k2-thinkingMoonshotAI: Kimi K2 Thinking |
IQ 94#96 | 262,144 | 2 | $0.633/1M | $2.6375/1M | prepaid BYOK |
moonshotai/kimi-k2.5MoonshotAI: Kimi K2.5 |
IQ 111#46 | 262,144 | 2 | $0.633/1M | $3.165/1M | prepaid BYOK |
moonshotai/kimi-k2.6MoonshotAI: Kimi K2.6 |
IQ 119#23 | 262,144 | 2 | $0.844/1M | $3.587/1M | prepaid BYOK |
moonshotai/kimi-k2.7-codeMoonshotAI: Kimi K2.7 Code |
IQ 118#28 | 262,144 | 2 | $1.00225/1M | $4.22/1M | prepaid BYOK |
moonshotai/kimi-k3MoonshotAI: Kimi K3 |
IQ 123#16 | 1,048,576 | 2 | $3.165/1M | $15.825/1M | prepaid BYOK |
nousresearch/hermes-2-pro-llama-3-8bHermes 2 Pro Llama 3 8B |
— | 8,192 | 1 | $0.1477/1M | $0.1477/1M | BYOK |
nvidia/nemotron-3-nano-30b-a3bNVIDIA: Nemotron 3 Nano 30B A3B |
— | 262,144 | 2 | $0.05275/1M | $0.211/1M | prepaid BYOK |
openai/gpt-oss-120bOpenAI: gpt-oss-120b |
IQ 105#61 | 131,072 | 2 | $0.05275/1M | $0.26375/1M | prepaid BYOK |
openai/gpt-oss-20bOpenAI: gpt-oss-20b |
IQ 100#77 | 131,072 | 2 | $0.0422/1M | $0.15825/1M | prepaid BYOK |
paddlepaddle/paddleocr-vlPaddleOCR-VL |
— | 16,384 | 1 | $0.0211/1M | $0.0211/1M | BYOK |
qwen/qwen-2.5-72b-instructQwen2.5 72B Instruct |
— | 32,768 | 2 | $0.4009/1M | $0.422/1M | prepaid BYOK |
qwen/qwen-mt-plusQwen MT Plus |
— | 16,384 | 2 | $0.26375/1M | $0.79125/1M | prepaid BYOK |
qwen/qwen2.5-7b-instructQwen2.5 7B Instruct |
— | 32,000 | 1 | $0.07385/1M | $0.07385/1M | BYOK |
qwen/qwen2.5-vl-72b-instructQwen: Qwen2.5 VL 72B Instruct |
— | 128,000 | 1 | $0.844/1M | $0.844/1M | BYOK |
qwen/qwen3-235b-a22b-fp8Qwen3 235B A22B |
— | 40,960 | 2 | $0.211/1M | $0.844/1M | prepaid BYOK |
qwen/qwen3-235b-a22b-instruct-2507Qwen3 235B A22B Instruct 2507 |
— | 131,072 | 2 | $0.09495/1M | $0.6119/1M | prepaid BYOK |
qwen/qwen3-235b-a22b-thinking-2507Qwen: Qwen3 235B A22B Thinking 2507 |
— | 262,144 | 2 | $0.3165/1M | $3.165/1M | prepaid BYOK |
qwen/qwen3-30b-a3b-fp8Qwen3 30B A3B |
— | 40,960 | 1 | $0.09495/1M | $0.47475/1M | BYOK |
qwen/qwen3-32b-fp8Qwen3 32B |
— | 40,960 | 1 | $0.1055/1M | $0.47475/1M | BYOK |
qwen/qwen3-4b-fp8Qwen3 4B |
— | 128,000 | 1 | $0.03165/1M | $0.03165/1M | BYOK |
qwen/qwen3-8b-fp8Qwen3 8B |
— | 128,000 | 1 | $0.036925/1M | $0.14559/1M | BYOK |
qwen/qwen3-coder-30b-a3b-instructQwen: Qwen3 Coder 30B A3B Instruct |
— | 262,144 | 2 | $0.07385/1M | $0.28485/1M | prepaid BYOK |
qwen/qwen3-coder-480b-a35b-instructQwen3 Coder 480B A35B Instruct |
— | 262,144 | 2 | $0.4009/1M | $1.63525/1M | prepaid BYOK |
qwen/qwen3-coder-nextQwen: Qwen3 Coder Next |
— | 262,144 | 2 | $0.211/1M | $1.5825/1M | prepaid BYOK |
qwen/qwen3-maxQwen3 Max |
— | 262,144 | 2 | $2.22605/1M | $8.91475/1M | prepaid BYOK |
qwen/qwen3-next-80b-a3b-instructQwen: Qwen3 Next 80B A3B Instruct |
— | 262,144 | 2 | $0.15825/1M | $1.5825/1M | prepaid BYOK |
qwen/qwen3-omni-30b-a3b-instructQwen3 Omni 30B A3B Instruct |
— | 65,536 | 2 | $0.26375/1M | $1.02335/1M | prepaid BYOK |
qwen/qwen3-omni-30b-a3b-thinkingQwen3 Omni 30B A3B Thinking |
— | 65,536 | 2 | $0.26375/1M | $1.02335/1M | prepaid BYOK |
qwen/qwen3-vl-235b-a22b-instructQwen: Qwen3 VL 235B A22B Instruct |
— | 262,144 | 2 | $0.3165/1M | $1.5825/1M | prepaid BYOK |
qwen/qwen3-vl-235b-a22b-thinkingQwen: Qwen3 VL 235B A22B Thinking |
— | 131,072 | 2 | $1.0339/1M | $4.16725/1M | prepaid BYOK |
qwen/qwen3-vl-30b-a3b-instructQwen: Qwen3 VL 30B A3B Instruct |
— | 262,144 | 2 | $0.211/1M | $0.7385/1M | prepaid BYOK |
qwen/qwen3.5-122b-a10bQwen: Qwen3.5-122B-A10B |
— | 262,144 | 2 | $0.422/1M | $3.376/1M | prepaid BYOK |
qwen/qwen3.5-27bQwen: Qwen3.5-27B |
— | 262,144 | 2 | $0.3165/1M | $2.532/1M | prepaid BYOK |
qwen/qwen3.5-35b-a3bQwen: Qwen3.5-35B-A3B |
— | 262,144 | 2 | $0.26375/1M | $2.11/1M | prepaid BYOK |
qwen/qwen3.5-397b-a17bQwen: Qwen3.5 397B A17B |
— | 262,144 | 2 | $0.633/1M | $3.798/1M | prepaid BYOK |
qwen/qwen3.6-27bQwen: Qwen3.6 27B |
IQ 111#47 | 262,144 | 2 | $0.633/1M | $3.798/1M | prepaid BYOK |
qwen/qwen3.6-35b-a3bQwen: Qwen3.6 35B A3B |
IQ 100#78 | 262,144 | 2 | $0.26164/1M | $1.566675/1M | prepaid BYOK |
qwen/qwen3.7-maxQwen3.7-Max |
IQ 118#29 | 1,000,000 | 2 | $1.31875/1M | $3.95625/1M | prepaid BYOK |
qwen/qwen3.8-maxQwen3.8 Max |
IQ 119#26 | 1,000,000 | 2 | $2.11/1M | $6.33/1M | prepaid BYOK |
sao10k/l3-70b-euryale-v2.1L3 70B Euryale V2.1 |
— | 8,192 | 1 | $1.5614/1M | $1.5614/1M | BYOK |
sao10k/l3-8b-lunarisSao10k L3 8B Lunaris |
— | 8,192 | 2 | $0.05275/1M | $0.05275/1M | prepaid BYOK |
sao10k/l31-70b-euryale-v2.2L31 70B Euryale V2.2 |
— | 8,192 | 2 | $1.5614/1M | $1.5614/1M | prepaid BYOK |
stepfun/step-3.7-flashStepFun: Step 3.7 Flash |
IQ 101#76 | 262,144 | 2 | $0.211/1M | $1.21325/1M | prepaid BYOK |
tencent/hy3Tencent: Hy3 |
IQ 103#67 | 262,144 | 2 | $0.1477/1M | $0.6119/1M | prepaid BYOK |
xiaomimimo/mimo-v2-flashXiaomiMiMo/MiMo-V2-Flash |
IQ 105#62 | 262,144 | 1 | $0.1055/1M | $0.3165/1M | BYOK |
xiaomimimo/mimo-v2.5-proXiaomiMiMo/MiMo-V2.5-Pro |
IQ 115#36 | 1,048,576 | 2 | $2.11/1M | $6.33/1M | prepaid BYOK |
z-ai/glm-5.2Z.ai: GLM 5.2 |
IQ 120#19 | 1,048,576 | 2 | $1.477/1M | $4.642/1M | prepaid BYOK |
zai-org/autoglm-phone-9b-multilingualAutoGLM-Phone-9B-Multilingual |
— | 65,536 | 2 | $0.036925/1M | $0.14559/1M | prepaid BYOK |
zai-org/glm-4.5-airzai-org/glm-4.5-air |
— | 131,072 | 2 | $0.13715/1M | $0.89675/1M | prepaid BYOK |
zai-org/glm-4.5vGLM 4.5V |
— | 65,536 | 2 | $0.633/1M | $1.899/1M | prepaid BYOK |
zai-org/glm-4.6GLM 4.6 |
— | 204,800 | 2 | $0.58025/1M | $2.321/1M | prepaid BYOK |
zai-org/glm-4.6vGLM 4.6V |
— | 131,072 | 2 | $0.3165/1M | $0.9495/1M | prepaid BYOK |
zai-org/glm-4.7GLM-4.7 |
IQ 103#66 | 204,800 | 2 | $0.633/1M | $2.321/1M | prepaid BYOK |
zai-org/glm-4.7-flashGLM-4.7-Flash |
— | 200,000 | 2 | $0.07385/1M | $0.422/1M | prepaid BYOK |
zai-org/glm-5GLM-5 |
IQ 105#60 | 202,800 | 2 | $1.055/1M | $3.376/1M | prepaid BYOK |
zai-org/glm-5.1GLM-5.1 |
IQ 114#38 | 204,800 | 2 | $1.4559/1M | $4.642/1M | prepaid BYOK |
Questions
Does Novita AI have zero data retention?
TrustedRouter does not currently mark Novita AI 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 Novita AI end-to-end encrypted?
TrustedRouter does not currently mark Novita AI 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 Novita AI models are available through TrustedRouter?
This page currently lists 109 public Novita AI models, with live pricing, route count, context length, measured performance when available, and links to each model's provider and benchmark pages.