Novita AI

Catalogue / Novita AI

159 services tracked from Novita AI. These are the prices this seller charges, which are not necessarily the list prices of the vendor whose name a model carries.

Read between 9 September 2026 and 18 September 2026. Every figure below carries the date it was observed on its own page.

• Sao10K/L3-8B-Stheno-v3.2$0.050 / 1M out
• baai/bge-m35 parameters
• baai/bge-reranker-v2-m35 parameters
• baichuan/baichuan-m2-32b$0.070 / 1M out
• baidu/cobuddy$1.13 / 1M out
• baidu/ernie-4.5-21B-a3b$0.280 / 1M out
• baidu/ernie-4.5-21B-a3b-thinking$0.280 / 1M out
• baidu/ernie-4.5-300b-a47b-paddle$1.10 / 1M out
• baidu/ernie-4.5-vl-28b-a3b$0.560 / 1M out
• baidu/ernie-4.5-vl-28b-a3b-thinking$0.390 / 1M out
• baidu/ernie-4.5-vl-424b-a47b$1.25 / 1M out
• deepseek/deepseek-ocr$0.030 / 1M out
• deepseek/deepseek-ocr-2$0.030 / 1M out
• deepseek/deepseek-prover-v2-671b$2.50 / 1M out
• deepseek/deepseek-r1$4.00 / 1M out
• deepseek/deepseek-r1-0528$2.50 / 1M out
• deepseek/deepseek-r1-0528-qwen3-8b$0.090 / 1M out
• deepseek/deepseek-r1-distill-llama-70b$0.800 / 1M out
• deepseek/deepseek-r1-distill-qwen-14b$0.150 / 1M out
• deepseek/deepseek-r1-distill-qwen-32b$0.300 / 1M out
• deepseek/deepseek-r1-turbo$2.50 / 1M out
• deepseek/deepseek-r1/community$4.00 / 1M out
• deepseek/deepseek-v3-0324$1.12 / 1M out
• deepseek/deepseek-v3-turbo$1.30 / 1M out
• deepseek/deepseek-v3.1$1.00 / 1M out
• deepseek/deepseek-v3.1-terminus$1.00 / 1M out
• deepseek/deepseek-v3.2$0.400 / 1M out
• deepseek/deepseek-v3.2-exp$0.410 / 1M out
• deepseek/deepseek-v3/community$0.890 / 1M out
• deepseek/deepseek-v4-flash$0.280 / 1M out
• deepseek/deepseek-v4-flash-0731$1.32 / 1M out
• deepseek/deepseek-v4-flash-vision-exp$1.32 / 1M out
• deepseek/deepseek-v4-pro$3.20 / 1M out
• deepseek/deepseek-v4-pro-0813$3.96 / 1M out
• deepseek/deepseek-v4.1-flash$1.20 / 1M out
• deepseek/deepseek-v4.1-flash-z$1.20 / 1M out
• deepseek/deepseek_v3$0.890 / 1M out
• elephant$0.300 / 1M out
• google/gemma-3-12b-it$0.100 / 1M out
• google/gemma-3-27b-it$0.200 / 1M out
• google/gemma-4-26b-a4b-it$0.400 / 1M out
• google/gemma-4-31b-it$0.400 / 1M out
• gryphe/mythomax-l2-13b$0.090 / 1M out
• hermes/mercury-oss-120b$0.250 / 1M out
• hermes/mercury-oss-20b$0.150 / 1M out
• inclusionai/ling-2.6-1t$2.50 / 1M out
• inclusionai/ling-2.6-flash$0.300 / 1M out
• inclusionai/ling-3.0-flash$0.180 / 1M out
• inclusionai/ling-3.0-flash-fast$0.180 / 1M out
• inclusionai/ling-3.0-flash-fin8 parameters
• inclusionai/ling-3.0-flash-sante6 parameters
• inclusionai/ling-3.0-flash-vl8 parameters
• inclusionai/ring-2.6-1t$2.50 / 1M out
• kwaipilot/kat-coder-pro$1.20 / 1M out
• meta-llama/llama-3-70b-instruct$0.740 / 1M out
• meta-llama/llama-3-8b-instruct$0.040 / 1M out
• meta-llama/llama-3.1-8b-instruct$0.050 / 1M out
• meta-llama/llama-3.2-1b-instruct$0.020 / 1M out
• meta-llama/llama-3.2-3b-instruct$0.050 / 1M out
• meta-llama/llama-3.3-70b-instruct$0.400 / 1M out
• meta-llama/llama-4-maverick-17b-128e-instruct-fp8$0.850 / 1M out
• meta-llama/llama-4-scout-17b-16e-instruct$0.590 / 1M out
• microsoft/wizardlm-2-8x22b$0.620 / 1M out
• mindai/macaron-v1-tall$1.43 / 1M out
• mindai/macaron-v1-venti$2.475 / 1M out
• ming-image-0.1-design$0.0001 / 1M out
• ming-image-0.1-design-layer$0.0001 / 1M out
• minimax/minimax-m2$1.20 / 1M out
• minimax/minimax-m2.1$1.20 / 1M out
• minimax/minimax-m2.5$1.20 / 1M out
• minimax/minimax-m2.5-highspeed$2.40 / 1M out
• minimax/minimax-m2.7$1.20 / 1M out
• minimax/minimax-m2.7-highspeed$2.40 / 1M out
• minimax/minimax-m3$1.20 / 1M out
• minimaxai/minimax-m1-80k$2.20 / 1M out
• mistralai/mistral-nemo$0.170 / 1M out
• moonshotai/kimi-k2-0905$2.50 / 1M out
• moonshotai/kimi-k2-instruct$2.30 / 1M out
• moonshotai/kimi-k2-thinking$2.50 / 1M out
• moonshotai/kimi-k2.5$3.00 / 1M out
• moonshotai/kimi-k2.6$3.40 / 1M out
• moonshotai/kimi-k2.7-code$4.00 / 1M out
• moonshotai/kimi-k3$15.00 / 1M out
• nousresearch/hermes-2-pro-llama-3-8b$0.140 / 1M out
• nousresearch/nous-hermes-llama2-13b$0.170 / 1M out
• nvidia/nemotron-3-nano-30b-a3b$0.200 / 1M out
• openai/gpt-oss-120b$0.250 / 1M out
• openai/gpt-oss-20b$0.150 / 1M out
• openchat/openchat-7b$0.060 / 1M out
• paddlepaddle/paddleocr-vl$0.020 / 1M out
• qwen/qwen-2-7b-instruct$0.054 / 1M out
• qwen/qwen-2-vl-72b-instruct$0.450 / 1M out
• qwen/qwen-2.5-72b-instruct$0.400 / 1M out
• qwen/qwen-mt-plus$0.750 / 1M out
• qwen/qwen2.5-7b-instruct$0.070 / 1M out
• qwen/qwen2.5-vl-72b-instruct$0.800 / 1M out
• qwen/qwen3-235b-a22b-fp8$0.800 / 1M out
• qwen/qwen3-235b-a22b-instruct-2507$0.580 / 1M out
• qwen/qwen3-235b-a22b-thinking-2507$3.00 / 1M out
• qwen/qwen3-30b-a3b-fp8$0.450 / 1M out
• qwen/qwen3-32b-fp8$0.450 / 1M out
• qwen/qwen3-4b-fp8$0.030 / 1M out
• qwen/qwen3-8b-fp8$0.138 / 1M out
• qwen/qwen3-coder-30b-a3b-instruct$0.270 / 1M out
• qwen/qwen3-coder-480b-a35b-instruct$1.55 / 1M out
• qwen/qwen3-coder-next$1.50 / 1M out
• qwen/qwen3-embedding-0.6b5 parameters
• qwen/qwen3-embedding-8b5 parameters
• qwen/qwen3-max$8.45 / 1M out
• qwen/qwen3-next-80b-a3b-instruct$1.50 / 1M out
• qwen/qwen3-next-80b-a3b-thinking$1.50 / 1M out
• qwen/qwen3-omni-30b-a3b-instruct$0.970 / 1M out
• qwen/qwen3-omni-30b-a3b-thinking$0.970 / 1M out
• qwen/qwen3-reranker-8b5 parameters
• qwen/qwen3-vl-235b-a22b-instruct$1.50 / 1M out
• qwen/qwen3-vl-235b-a22b-thinking$3.95 / 1M out
• qwen/qwen3-vl-30b-a3b-instruct$0.700 / 1M out
• qwen/qwen3-vl-30b-a3b-thinking$1.00 / 1M out
• qwen/qwen3-vl-8b-instruct$0.500 / 1M out
• qwen/qwen3.5-122b-a10b$3.20 / 1M out
• qwen/qwen3.5-27b$2.40 / 1M out
• qwen/qwen3.5-35b-a3b$2.00 / 1M out
• qwen/qwen3.5-397b-a17b$3.60 / 1M out
• qwen/qwen3.6-27b$3.60 / 1M out
• qwen/qwen3.6-35b-a3b$1.485 / 1M out
• qwen/qwen3.7-max$3.75 / 1M out
• qwen/qwen3.8-2.4t-a95b$6.00 / 1M out
• qwen/qwen3.8-27b$3.00 / 1M out
• qwen/qwen3.8-flash$0.470 / 1M out
• qwen/qwen3.8-max$6.00 / 1M out
• sao10k/l3-70b-euryale-v2.1$1.48 / 1M out
• sao10k/l3-8b-lunaris$0.050 / 1M out
• sao10k/l31-70b-euryale-v2.2$1.48 / 1M out
• stepfun/step-3.7-flash$1.15 / 1M out
• teknium/openhermes-2.5-mistral-7b$0.170 / 1M out
• tencent/hy3$0.580 / 1M out
• tencent/hy4-preview$2.501 / 1M out
• thudm/glm-4-32b-0414$1.66 / 1M out
• xiaomimimo/mimo-v2-flash$0.330 / 1M out
• xiaomimimo/mimo-v2-pro$6.00 / 1M out
• xiaomimimo/mimo-v2.5$0.336 / 1M out
• xiaomimimo/mimo-v2.5-pro$1.044 / 1M out
• zai-org/autoglm-phone-9b-multilingual$0.138 / 1M out
• zai-org/glm-4.5$2.20 / 1M out
• zai-org/glm-4.5-air$0.850 / 1M out
• zai-org/glm-4.5v$1.80 / 1M out
• zai-org/glm-4.6$2.20 / 1M out
• zai-org/glm-4.6v$0.900 / 1M out
• zai-org/glm-4.7$2.20 / 1M out
• zai-org/glm-4.7-flash$0.400 / 1M out
• zai-org/glm-4.7-h$2.20 / 1M out
• zai-org/glm-5$3.20 / 1M out
• zai-org/glm-5-turbo$4.00 / 1M out
• zai-org/glm-5.1$4.40 / 1M out
• zai-org/glm-5.2$4.40 / 1M out
• zai-org/glm-5.3$4.40 / 1M out
• zai-org/glm-5.3-flash$0.500 / 1M out
• zai-org/glm-5.3-p$4.40 / 1M out
• zai-org/glm-5v-turbo$4.00 / 1M out