Novita
AI inference provider available on Antbase
OpenAI-compatible
About Novita
Novita is an AI model provider accessible through Antbase. Use intelligent routing to automatically select the best model from this provider based on your task requirements.
Live Performance Data
Novita Models on Antbase
| Model | Score | Requests | Success Rate | Avg Latency | p95 Latency | Capabilities |
|---|---|---|---|---|---|---|
| Kimi K2.5 | 63.0 | 1 | 10000.0% | 1085ms | 1085ms | |
| DeepSeek R1 0528 | 52.0 | 1 | 10000.0% | 6425ms | 6425ms | |
| Minimax M2.1 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen3 Coder Next | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| AutoGLM-Phone-9B-Multilingual | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁 |
| MiniMax-M2 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| GLM 4.6 | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠🔧 |
| MiniMax M2.5 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| XiaomiMiMo/MiMo-V2-Flash | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠🔧 |
| PaddleOCR-VL | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁 |
| Deepseek V3.2 Exp | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Qwen3 VL 235B A22B Thinking | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 👁🧠🔧 |
| GLM 4.6V | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| Kat Coder Pro | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen3 Next 80B A3B Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Qwen3 Next 80B A3B Thinking | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| DeepSeek-OCR | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁 |
| Deepseek V3.1 Terminus | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Qwen3 VL 235B A22B Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🔧 |
| Qwen3 Max | 50.0 | 0 | 0.0% | 2000ms | 5000ms | 🧠🔧 |
| DeepSeek V3.1 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Kimi K2 0905 | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🔧 |
| Qwen3 Coder 480B A35B Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen3 Coder 30b A3B Instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Qwen3.5-27B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| Kimi K2 Instruct | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🔧 |
| DeepSeek V3 0324 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| GLM-4.5 | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠🔧 |
| MiniMax M2.5-highspeed | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠🔧 |
| Qwen3.5-397B-A17B | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 👁🧠🔧 |
| Qwen3.5-35B-A3B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| Llama 3.1 8B Instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Gemma3 12B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁🔧 |
| GLM 4.5V | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 👁🧠🔧 |
| OpenAI: GPT OSS 20B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁🧠🔧 |
| Qwen 2.5 72B Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Mistral Nemo | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| MiniMax M1 | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠🔧 |
| DeepSeek R1 Distill Qwen 32B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Llama 3 8B Instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Wizardlm 2 8x22B | 50.0 | 0 | 0.0% | 1500ms | 3750ms | |
| DeepSeek R1 0528 Qwen3 8B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠🔧 |
| DeepSeek R1 Distill LLama 70B | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠 |
| Llama3 70B Instruct | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🔧 |
| Hermes 2 Pro Llama 3 8B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen2.5 VL 72B Instruct | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 👁🔧 |
| L3 70B Euryale V2.1 | 50.0 | 0 | 0.0% | 2000ms | 5000ms | 🔧 |
| ERNIE-4.5-21B-A3B-Thinking | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠 |
| Sao10k L3 8B Lunaris | 50.0 | 0 | 0.0% | 600ms | 1500ms | |
| BaiChuan M2 32B | 50.0 | 0 | 0.0% | 600ms | 1500ms | |
| ERNIE 4.5 VL 424B A47B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠 |
| ERNIE 4.5 300B A47B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | |
| Deepseek Prover V2 671B | 50.0 | 0 | 0.0% | 1500ms | 3750ms | |
| Gemma 3 27B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🔧 |
| DeepSeek R1 (Turbo) | 50.0 | 0 | 0.0% | 1500ms | 3750ms | 🧠🔧 |
| L3 8B Stheno V3.2 | 50.0 | 0 | 0.0% | 600ms | 1500ms | |
| Mythomax L2 13B | 50.0 | 0 | 0.0% | 600ms | 1500ms | |
| ERNIE-4.5-VL-28B-A3B-Thinking | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| qwen/qwen3-vl-8b-instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁🔧 |
| zai-org/glm-4.5-air | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| qwen/qwen3-vl-30b-a3b-instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🔧 |
| qwen/qwen3-vl-30b-a3b-thinking | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| Qwen3 Omni 30B A3B Thinking | 50.0 | 0 | 0.0% | 400ms | 1000ms | 👁🧠🔧 |
| Qwen3 Omni 30B A3B Instruct | 50.0 | 0 | 0.0% | 400ms | 1000ms | 👁🔧 |
| Qwen MT Plus | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| ERNIE 4.5 VL 28B A3B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🧠🔧 |
| ERNIE 4.5 21B A3B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Qwen3 8B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Qwen2.5 7B Instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Llama 3.2 3B Instruct | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| L31 70B Euryale V2.2 | 50.0 | 0 | 0.0% | 2000ms | 5000ms | 🧠 |
| DeepSeek R1 Distill Qwen 14B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| DeepSeek V3 (Turbo) | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen3 4B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠🔧 |
| MiniMax M2.7 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Llama 4 Maverick Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🔧 |
| Llama 4 Scout Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 👁🔧 |
| Llama 3.3 70B Instruct | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🔧 |
| Qwen3 235B A22b Thinking 2507 | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Qwen3 235B A22B Instruct 2507 | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🔧 |
| Qwen3 235B A22B | 50.0 | 0 | 0.0% | 1000ms | 2500ms | 🧠🔧 |
| Qwen3 32B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠🔧 |
| Qwen3 30B A3B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 🧠🔧 |
| OpenAI GPT OSS 120B | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁🧠🔧 |
| DeepSeek-OCR 2 | 50.0 | 0 | 0.0% | 600ms | 1500ms | 👁 |
| Qwen3.5 397B | 48.0 | 29 | 10000.0% | 8902ms | 33484ms | |
| DeepSeek V3.2 | 47.0 | 13 | 10000.0% | 14102ms | 29530ms | |
| Qwen3.5 122B | 45.0 | 1 | 10000.0% | 18496ms | 18496ms | |
| GLM 5.3 | 45.0 | 2 | 10000.0% | 12399ms | 17654ms | 🧠🔧 |
| Kimi K2 Thinking | 35.0 | 2 | 0.0% | 385ms | 394ms | 🧠🔧 |
| GLM-5 | 34.0 | 1 | 0.0% | 537ms | 537ms | 🧠🔧 |
| Qwen3.5-122B-A10B | 34.0 | 1 | 0.0% | 520ms | 520ms | 👁🧠🔧 |
| GLM 5.3 Flash | 34.0 | 1 | 0.0% | 660ms | 660ms | 👁🧠🔧 |
| GLM-4.7-Flash | 33.0 | 1 | 0.0% | 1191ms | 1191ms | 🧠🔧 |
| DeepSeek R1 0528 | 33.0 | 1 | 0.0% | 1216ms | 1216ms | 🧠🔧 |
| Kimi K2.5 | 32.0 | 1 | 0.0% | 1544ms | 1544ms | 👁🧠🔧 |
| novita/qwen3.5-397b:free | 15.0 | 2 | 0.0% | 90780ms | 90807ms | |
| novita/deepseek-v3.2:free | 15.0 | 1 | 0.0% | 85437ms | 85437ms |
How to Use Novita on Antbase
All Novita models are available through Antbase's unified OpenAI-compatible API. You can either route directly to a specific Novita model or let ANT's intelligent router automatically select the best model for your task.
python
from openai import OpenAI
client = OpenAI(
base_url="https://antbase.ai/v1",
api_key="your-ant-api-key",
)
# Let ANT auto-route (may use Novita if optimal)
response = client.chat.completions.create(
model="ant:auto",
messages=[{"role": "user", "content": "Hello!"}],
)Why Use Novita Through Antbase?
- •No separate account needed — access Novita models instantly through your Antbase API key.
- •Intelligent routing — ANT automatically selects the best Novita model for each task, or falls over to another provider if Novita is slow or down.
- •Same token prices — Antbase charges zero markup on Novita token prices. You pay exactly what Novita charges.
- •Automatic failover — if Novita has an outage, your requests seamlessly route to an equivalent model on another provider.