Inference host
Prices read from Novita AI’s pages
Novita AI API pricing and models
Novita AI publishes per-token prices for 93 text models, as of October 20, 2026. The lowest output rate is $0.02 per million tokens, on Llama 3.2 1B Instruct, and the highest-scoring model it serves is Qwen3.8 Max, at 81 on our 100-point score.
Models priced
93
53 we score
Lowest output
$0.02
per 1M, Llama 3.2 1B Instruct
Top score served
81
Qwen3.8 Max
vs maker’s price
Same
median output, 25 models
Novita AI runs a serverless API for open-weight models and lists its prices in a public model catalog.
Every model Novita AI prices, with its score
Prices are US dollars per million tokens, read from Novita AI pricing page on the date above. The score is our 100-point rating of the model, the same on every host. “vs maker” compares this host’s output rate with the model maker’s own API.
| Model | Score | Input /1M | Output /1M | Cached /1M | Context | vs maker |
|---|---|---|---|---|---|---|
| Qwen3.8 Maxqwen/qwen3.8-max | 81 | $2.00 | $6.00 | $0.25 | 1M | — |
| Kimi K3moonshotai/kimi-k3 | 79 | $3.00 | $15.00 | $0.30 | 1.05M | Same |
| Kimi K3moonshotai/kimi-k3-p | 79 | $3.00 | $15.00 | $0.30 | 1.05M | Same |
| Step 5 Previewstepfun/step-5-preview | 77 | $1.00 | $2.70 | $0.10 | 1M | Same |
| Qwen3.7 Maxqwen/qwen3.7-max | 76 | $1.25 | $3.75 | $0.25 | 1M | — |
| Ling 3.1 Flashinclusionai/ling-3.1-flash | 74 | $0.30 | $0.90 | $0.06 | 262K | — |
| MiMo V2.6 Proxiaomimimo/mimo-v2.6-pro | 73 | $0.43 | $0.87 | $0.004 | 1.05M | Same |
| DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash | 73 | $0.30 | $1.20 | $0.006 | 1.05M | Same |
| DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash-p | 73 | $0.30 | $1.20 | $0.006 | 1.05M | Same |
| DeepSeek V4.1 Flash 1017deepseek/deepseek-v4.1-flash-1017 | 73 | $0.30 | $1.20 | $0.006 | 1.05M | Same |
| Qwen3.8 27Bqwen/qwen3.8-27b | 73 | $0.42 | $3.00 | $0.085 | 1M | — |
| Hy4 Previewtencent/hy4-preview | 72 | $0.83 | $2.50 | $0.042 | 1M | — |
| MiMo V2.6 Flashxiaomimimo/mimo-v2.6-flash | 69 | $0.14 | $0.28 | $0.003 | 1.05M | Same |
| GLM 5.3 Flashzai-org/glm-5.3-flash | 69 | $0.15 | $0.50 | $0.03 | 1.05M | — |
| DeepSeek V4 Pro 0813deepseek/deepseek-v4-pro-0813 | 69 | $1.32 | $3.96 | $0.044 | 1.05M | Same |
| Xiaomi MiMo V2.5 Proxiaomimimo/mimo-v2.5-pro | 68 | $0.52 | $1.04 | $0.004 | 1.05M | — |
| GLM 5.3zai-org/glm-5.3 | 68 | $1.40 | $4.40 | $0.26 | 1.05M | — |
| Hy3tencent/hy3 | 67 | $0.14 | $0.58 | $0.035 | 262K | — |
| Kimi K2.6moonshotai/kimi-k2.6 | 67 | $0.80 | $3.40 | $0.16 | 262K | −15% |
| Ling 3.0 Flash VLinclusionai/ling-3.0-flash-vl | 66 | $0.075 | $0.22 | $0.015 | 262K | — |
| MiniMax M3minimax/minimax-m3 | 65 | $0.30 | $1.20 | $0.06 | 1M | Same |
| GLM 5.2zai-org/glm-5.2 | 65 | $1.40 | $4.40 | $0.26 | 1.05M | Same |
| GLM 5.1zai-org/glm-5.1 | 64 | $1.38 | $4.40 | $0.26 | 205K | Same |
| Kimi K2.7 Codemoonshotai/kimi-k2.7-code | 63 | $0.95 | $4.00 | $0.19 | 262K | Same |
| Xiaomi MiMo V2.5xiaomimimo/mimo-v2.5 | 62 | $0.17 | $0.34 | $0.003 | 1.05M | — |
| Step 3.7 Flashstepfun/step-3.7-flash | 62 | $0.20 | $1.15 | $0.04 | 262K | Same |
| DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 62 | $0.44 | $1.32 | $0.028 | 1.05M | +371% |
| GLM 5zai-org/glm-5 | 62 | $1.00 | $3.20 | $0.20 | 203K | Same |
| Qwen3.6 27Bqwen/qwen3.6-27b | 62 | $0.60 | $3.60 | — | 262K | — |
| Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instructServed build of Llama 3.3 70B | 61 | $0.14 | $0.40 | — | 12K | — |
| Qwen3.5 122B A10Bqwen/qwen3.5-122b-a10b | 61 | $0.40 | $3.20 | — | 262K | — |
| Ling 3.0 Flashinclusionai/ling-3.0-flash | 60 | $0.06 | $0.18 | $0.012 | 262K | — |
| MiniMax M2.7minimax/minimax-m2.7 | 60 | $0.30 | $1.20 | $0.06 | 205K | Same |
| DeepSeek R1 0528deepseek/deepseek-r1-0528 | 60 | $0.70 | $2.50 | $0.35 | 164K | — |
| Kimi K2.5moonshotai/kimi-k2.5 | 60 | $0.60 | $3.00 | $0.10 | 262K | Same |
| Qwen3.5 27Bqwen/qwen3.5-27b | 59 | $0.30 | $2.40 | — | 262K | — |
| Gemma 4 26B A4Bgoogle/gemma-4-26b-a4b-it | 58 | $0.13 | $0.40 | — | 262K | — |
| MiniMax M1minimaxai/minimax-m1-80k | 58 | $0.55 | $2.20 | — | 1M | — |
| Gemma 4 31Bgoogle/gemma-4-31b-it | 56 | $0.14 | $0.40 | — | 262K | — |
| GLM 4.7 Flashzai-org/glm-4.7-flash | 56 | $0.07 | $0.40 | $0.01 | 200K | — |
| Llama 4 Maverick Instructmeta-llama/llama-4-maverick-17b-128e-instruct-fp8Served build of Llama 4 Maverick | 56 | $0.27 | $0.85 | — | 1.05M | — |
| OpenAI GPT OSS 120Bopenai/gpt-oss-120b | 55 | $0.05 | $0.25 | — | 131K | — |
| Qwen3.6 35B A3Bqwen/qwen3.6-35b-a3b | 55 | $0.25 | $1.49 | — | 262K | — |
| Qwen3.5 35B A3Bqwen/qwen3.5-35b-a3b | 55 | $0.25 | $2.00 | — | 262K | — |
| GLM 4.5 Airzai-org/glm-4.5-air | 53 | $0.13 | $0.85 | $0.025 | 131K | −23% |
| GLM 4.6zai-org/glm-4.6 | 53 | $0.55 | $2.20 | $0.11 | 205K | — |
| GLM 4.7zai-org/glm-4.7 | 53 | $0.60 | $2.20 | $0.11 | 205K | — |
| GLM 4.7zai-org/glm-4.7-h | 53 | $0.60 | $2.20 | $0.11 | 205K | — |
| DeepSeek R1 Turbodeepseek/deepseek-r1-turboServed build of DeepSeek-R1 | 53 | $0.70 | $2.50 | — | 64K | +14% |
| DeepSeek R1deepseek/deepseek-r1/community | 53 | $4.00 | $4.00 | — | 64K | +83% |
| Kimi K2 Instructmoonshotai/kimi-k2-instructServed build of Kimi K2 | 52 | $0.57 | $2.30 | — | 131K | −8% |
| Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instructServed build of Llama 3.1 8B | 51 | $0.02 | $0.05 | — | 16K | — |
| Llama 4 Scout Instructmeta-llama/llama-4-scout-17b-16e-instructServed build of Llama 4 Scout | 47 | $0.18 | $0.59 | — | 131K | — |
| DeepSeek V3deepseek/deepseek_v3 | 43 | $0.89 | $0.89 | — | 64K | −19% |
| Gemma 3 27Bgoogle/gemma-3-27b-it | 41 | $0.12 | $0.20 | — | 98K | — |
| Ling 3.0 Flash Fininclusionai/ling-3.0-flash-fin | 0 | $0.075 | $0.22 | $0.015 | 262K | — |
| Qwen3 Omni 30B A3B Thinkingqwen/qwen3-omni-30b-a3b-thinking | 0 | $0.25 | $0.97 | — | 66K | — |
| MiniMax M2.5minimax/minimax-m2.5 | 0 | $0.30 | $1.20 | $0.03 | 205K | Same |
35 more models Novita AI prices that we don’t score
| Model | Input /1M | Output /1M | Cached /1M | Context |
|---|---|---|---|---|
| Llama 3.2 1B Instructmeta-llama/llama-3.2-1b-instruct | $0.02 | $0.02 | — | 131K |
| PaddleOCR VLpaddlepaddle/paddleocr-vl | $0.02 | $0.02 | — | 16K |
| DeepSeek OCR 2deepseek/deepseek-ocr-2 | $0.03 | $0.03 | — | 8K |
| Llama 3 8B Stheno V3.2Sao10K/L3-8B-Stheno-v3.2 | $0.05 | $0.05 | — | 8K |
| Baichuan M2 32Bbaichuan/baichuan-m2-32b | $0.07 | $0.07 | — | 131K |
| DeepSeek R1 Distill Qwen3 8B 0528deepseek/deepseek-r1-0528-qwen3-8b | $0.06 | $0.09 | — | 128K |
| MythoMax L2 13Bgryphe/mythomax-l2-13b | $0.09 | $0.09 | — | 4K |
| Gemma 3 12Bgoogle/gemma-3-12b-it | $0.05 | $0.10 | — | 131K |
| AutoGLM Phone 9B Multilingualzai-org/autoglm-phone-9b-multilingual | $0.035 | $0.14 | — | 66K |
| Hermes 2 Pro Llama 3 8Bnousresearch/hermes-2-pro-llama-3-8b | $0.14 | $0.14 | — | 8K |
| NVIDIA Nemotron 3 Nano 30B A3Bnvidia/nemotron-3-nano-30b-a3b | $0.05 | $0.20 | — | 262K |
| Ling 3.0 Flash Santeinclusionai/ling-3.0-flash-sante | $0.075 | $0.22 | $0.015 | 262K |
| ERNIE 4.5 21B A3Bbaidu/ernie-4.5-21B-a3b | $0.07 | $0.28 | — | 120K |
| Qwen3.8 Flashqwen/qwen3.8-flash | $0.15 | $0.47 | $0.016 | 1M |
| WizardLM 2 8x22Bmicrosoft/wizardlm-2-8x22b | $0.62 | $0.62 | — | 66K |
| Qwen3 VL 30B A3B Instructqwen/qwen3-vl-30b-a3b-instruct | $0.20 | $0.70 | — | 131K |
| Qwen MT Plusqwen/qwen-mt-plus | $0.25 | $0.75 | — | 16K |
| GLM 4.6Vzai-org/glm-4.6v | $0.30 | $0.90 | $0.055 | 131K |
| ming image 0.1 designming-image-0.1-design | $1.00 | $1.00 | — | — |
| ming image 0.1 design layerming-image-0.1-design-layer | $1.00 | $1.00 | — | — |
| CoBuddybaidu/cobuddy | $0.28 | $1.13 | $0.07 | 131K |
| DeepSeek V4.1 Flash DSTdeepseek/deepseek-v4.1-flash-dst | $0.30 | $1.20 | $0.006 | 1.05M |
| deepseek/deepseek-v4-flash-0731-pdeepseek/deepseek-v4-flash-0731-p | $0.44 | $1.32 | $0.015 | 1.05M |
| Macaron V1 Tallmindai/macaron-v1-tall | $0.25 | $1.43 | $0.044 | 262K |
| Llama 3 70B Euryale V2.1sao10k/l3-70b-euryale-v2.1 | $1.48 | $1.48 | — | 8K |
| GLM 4.5Vzai-org/glm-4.5v | $0.60 | $1.80 | $0.11 | 66K |
| MiniMax M2.7-highspeedminimax/minimax-m2.7-highspeed | $0.60 | $2.40 | $0.06 | 205K |
| Macaron V1 Ventimindai/macaron-v1-venti | $0.82 | $2.48 | $0.17 | 1.05M |
| Kimi K2 Instruct 0905moonshotai/kimi-k2-0905 | $0.60 | $2.50 | — | 262K |
| Kimi K2 Thinkingmoonshotai/kimi-k2-thinking | $0.60 | $2.50 | $0.15 | 262K |
| DeepSeek V4 Prodeepseek/deepseek-v4-pro | $1.60 | $3.20 | $0.14 | 1.05M |
| Qwen3.5 397B A17Bqwen/qwen3.5-397b-a17b | $0.60 | $3.60 | — | 262K |
| deepseek/deepseek-v4-pro-0813-pdeepseek/deepseek-v4-pro-0813-p | $1.32 | $3.96 | $0.044 | 1.05M |
| zai-org/glm-5.3-pzai-org/glm-5.3-p | $1.40 | $4.40 | $0.26 | 1.05M |
| Qwen3.8 2.4T A95Bqwen/qwen3.8-2.4t-a95b | $2.00 | $6.00 | $0.25 | 1M |
- Batch requests are discounted 50% on input and output for supported models, which Novita describes as an introductory offer.
- A few models bill by prompt length. Their rows show the first tier, with the other tiers in the row note.
Hosts that sell the same models
Each row counts the scored models both hosts price, and how many of those cost less per output token there than on Novita AI.
OpenRouter48 shared, 30 cheaperDeepSeek V4.1 Flash 1017: $0.12 vs $1.20 outputDeepInfra32 shared, 24 cheaperDeepSeek V4 Flash 0731: $0.18 vs $1.32 outputNebius Token Factory14 shared, 1 cheaperDeepSeek V4 Flash 0731: $0.28 vs $1.32 outputTogether AI13 shared, 1 cheaperDeepSeek V4 Flash 0731: $0.28 vs $1.32 outputBaseten8 shared, 1 cheaperDeepSeek V4 Flash 0731: $0.26 vs $1.32 outputFireworks AI7 shared, 0 cheaper
Questions
How much does the Novita AI API cost?
Novita AI bills per million tokens, with separate input and output rates for each model. On October 20, 2026 its output rates ran from $0.02 on Llama 3.2 1B Instruct to $15.00 across 93 paid models. Input is usually cheaper than output, so a long prompt with a short reply costs less than the output rate suggests.
Which models can you run on Novita AI?
93 text models are listed, and 53 of them match a model we score. The highest-scoring is Qwen3.8 Max at 81. The table on this page has every model with its input, output and cached-input rate, the context window, and the date we read the price.
What are the alternatives to Novita AI?
OpenRouter lists 48 of the same models and charges less output per token on 30 of them. DeepInfra and Nebius Token Factory also overlap. Price is only part of the choice: speed, rate limits and which model snapshot a host serves differ too.