Details

FieldValue
provider_idnovita
provider_nameNovitaAI
headquartersUS
datacenters[]
api_base_urlhttps://api.novita.ai/openai
doc_urlhttps://novita.ai/docs/guides/introduction
npm_package@ai-sdk/openai-compatible
env_vars["NOVITA_API_KEY"]
data_policy_trainingno
data_policy_retains_promptsno
data_policy_can_publishno

Prices

ModelPromptCompletionCache readCache write
ai_infer_test_1————
ai_infer_test_2————
ai_infer_test_3————
baichuan/baichuan-m2-32b$0.07$0.07——
baidu/cobuddy$0.28$1.13$0.07—
baidu/ernie-4.5-21B-a3b$0.07$0.28——
baidu/ernie-4.5-vl-424b-a47b$0.42$1.25——
bunny————
deepseek/deepseek_v3$0.89$0.89——
deepseek/deepseek-ocr————
deepseek/deepseek-ocr-2————
deepseek/deepseek-r1$4$4——
deepseek/deepseek-r1-0528$0.7$2.5$0.35—
deepseek/deepseek-r1-0528-qwen3-8b$0.06$0.09——
deepseek/deepseek-r1-distill-llama-70b$0.8$0.8——
deepseek/deepseek-r1-turbo$0.7$2.5——
deepseek/deepseek-r1/community$4$4——
deepseek/deepseek-v3.1$0.27$1$0.135—
deepseek/deepseek-v3.1-terminus$0.27$1$0.135—
deepseek/deepseek-v3.2$0.269$0.4$0.1345—
deepseek/deepseek-v3.2-exp$0.27$0.41——
deepseek/deepseek-v3/community$0.89$0.89——
deepseek/deepseek-v4-flash$0.14$0.28$0.028—
deepseek/deepseek-v4-flash-0731$0.44$1.32$0.028—
deepseek/deepseek-v4-flash-vision-exp$0.44$1.32$0.028—
deepseek/deepseek-v4-pro$1.6$3.2$0.135—
deepseek/deepseek-v4-pro-0813$1.32$3.96$0.044—
deepseek/deepseek-v4.1-flash$0.3$1.2$0.006—
deepseek/deepseek-v4.1-flash-p$0.3$1.2$0.006—
dev/glm46————
google/gemma-3-12b-it$0.05$0.1——
google/gemma-3-27b-it$0.119$0.2——
google/gemma-4-26b-a4b-it$0.13$0.4——
google/gemma-4-31b-it$0.14$0.4——
gryphe/mythomax-l2-13b$0.09$0.09——
gt-4p————
inclusionai/ling-3.0-flash$0.06$0.18$0.012—
inclusionai/ling-3.0-flash-vl$0.075$0.22$0.015—
meta-llama/llama-3.1-8b-instruct$0.02$0.05——
meta-llama/llama-3.2-1b-instruct$0.02$0.02——
meta-llama/llama-3.3-70b-instruct$0.135$0.4——
meta-llama/llama-4-maverick-17b-128e-instruct-fp8$0.27$0.85——
meta-llama/llama-4-scout-17b-16e-instruct$0.18$0.59——
microsoft/wizardlm-2-8x22b$0.62$0.62——
mindai/macaron-v1-tall$0.2475$1.43$0.044—
mindai/macaron-v1-venti$0.825$2.475$0.165—
ming-image-0.1-design$1$1——
ming-image-0.1-design-layer$1$1——
minimax/m2-her————
minimax/minimax-m2$0.3$1.2$0.03—
minimax/minimax-m2.1$0.3$1.2$0.03—
minimax/minimax-m2.5$0.3$1.2$0.03—
minimax/minimax-m2.5-highspeed$0.6$2.4$0.03—
minimax/minimax-m2.7$0.3$1.2$0.06—
minimax/minimax-m2.7-highspeed$0.6$2.4$0.06—
minimax/minimax-m3$0.3$1.2$0.06—
minimaxai/minimax-m1-80k$0.55$2.2——
mistralai/mistral-nemo$0.04$0.17——
moonshotai/kimi-k2-0905$0.6$2.5——
moonshotai/kimi-k2-instruct$0.57$2.3——
moonshotai/kimi-k2-thinking$0.6$2.5$0.15—
moonshotai/kimi-k2.5$0.6$3$0.1—
moonshotai/kimi-k2.6$0.8$3.4$0.16—
moonshotai/kimi-k2.7-code$0.95$4$0.19—
moonshotai/kimi-k3$3$15$0.3—
nex-agi/nex-n2-pro————
nousresearch/hermes-2-pro-llama-3-8b$0.14$0.14——
nvidia/nemotron-3-nano-30b-a3b$0.05$0.2——
openai/gpt-oss-120b$0.05$0.25——
openai/gpt-oss-20b$0.04$0.15——
paddlepaddle/paddleocr-vl————
qwen/qwen-2.5-72b-instruct$0.38$0.4——
qwen/qwen-mt-plus$0.25$0.75——
qwen/qwen3-235b-a22b-fp8$0.2$0.8——
qwen/qwen3-235b-a22b-instruct-2507$0.09$0.58——
qwen/qwen3-235b-a22b-thinking-2507$0.3$3——
qwen/qwen3-coder-30b-a3b-instruct$0.07$0.27——
qwen/qwen3-coder-480b-a35b-instruct$0.38$1.55——
qwen/qwen3-coder-next$0.2$1.5——
qwen/qwen3-max$2.11$8.45——
qwen/qwen3-next-80b-a3b-instruct$0.15$1.5——
qwen/qwen3-omni-30b-a3b-instruct$0.25$0.97——
qwen/qwen3-omni-30b-a3b-thinking$0.25$0.97——
qwen/qwen3-vl-235b-a22b-instruct$0.3$1.5——
qwen/qwen3-vl-235b-a22b-thinking$0.98$3.95——
qwen/qwen3-vl-30b-a3b-instruct$0.2$0.7——
qwen/qwen3.5-122b-a10b$0.4$3.2——
qwen/qwen3.5-27b$0.3$2.4——
qwen/qwen3.5-35b-a3b$0.25$2——
qwen/qwen3.5-397b-a17b$0.6$3.6——
qwen/qwen3.5-plus$0.4$2.4——
qwen/qwen3.6-27b$0.6$3.6——
qwen/qwen3.6-35b-a3b$0.248$1.485——
qwen/qwen3.6-plus$0.5$3$0.05$0.625
qwen/qwen3.7-max$1.25$3.75$0.25—
qwen/qwen3.8-2.4t-a95b$2$6$0.25—
qwen/qwen3.8-27b$0.42$3$0.085—
qwen/qwen3.8-flash$0.15$0.47$0.016—
qwen/qwen3.8-max$2$6$0.25—
sao10k/l3-70b-euryale-v2.1$1.48$1.48——
sao10k/l3-8b-lunaris$0.05$0.05——
Sao10K/L3-8B-Stheno-v3.2$0.05$0.05——
sao10k/l31-70b-euryale-v2.2$1.48$1.48——
stepfun/step-3.7-flash$0.2$1.15$0.04—
tencent/hy3$0.14$0.58$0.035—
tencent/hy4-preview$0.834$2.501$0.042—
thudm/glm-4-32b-0414$0.55$1.66——
xiaomimimo/mimo-v2.5$0.168$0.336$0.0034—
xiaomimimo/mimo-v2.5-pro$0.522$1.044$0.0043—
xiaomimimo/mimo-v2.6-flash$0.14$0.28$0.0028—
xiaomimimo/mimo-v2.6-pro$0.435$0.87$0.0036—
zai-org/autoglm-phone-9b-multilingual$0.035$0.138——
zai-org/glm-4.5-air$0.13$0.85$0.025—
zai-org/glm-4.5v$0.6$1.8$0.11—
zai-org/glm-4.6$0.55$2.2$0.11—
zai-org/glm-4.6v$0.3$0.9$0.055—
zai-org/glm-4.7$0.6$2.2$0.11—
zai-org/glm-4.7-flash$0.07$0.4$0.01—
zai-org/glm-4.7-h$0.6$2.2$0.11—
zai-org/glm-5$1$3.2$0.2—
zai-org/glm-5-turbo$1.2$4$0.24—
zai-org/glm-5.1$1.38$4.4$0.26—
zai-org/glm-5.2$1.4$4.4$0.26—
zai-org/glm-5.3$1.4$4.4$0.26—
zai-org/glm-5.3-flash$0.15$0.5$0.03—
zai-org/glm-5.3-p$1.4$4.4$0.26—
zai-org/glm-5v-turbo$1.2$4$0.24—