Choose a model to open its comparison page.
Llama 3.2 Nemoretriever 300m Embed v1 API pricing covers 3 API providers, from $0.010/request to $75.00/M.
Meta Llama 3.2 Nemoretriever 300m Embed v1 is an embedding model, designed for generating vector representations of text for retrieval and semantic search.
Compare Llama 3.2 Nemoretriever 300m Embed v1 API pricing across 3 providers. Prices range from $0.010/request to $75.00/M. 素墨API offers the lowest rate at $0.010/request.
| Provider | Health | Model Variant | Group | Input ($/M) | Output ($/M) | Speed (t/s) | First token | Audit |
|---|---|---|---|---|---|---|---|---|
L1 97% | nvidia/llama-3.2-nemoretriever-300m-embed-v1 | default | $75.00/M | $75.00/M | — | — | — | |
L1 97% | llama-3.2-nemoretriever-300m-embed-v1 | default | $0.010/request | - | — | — | — | |
L1 97% | nvidia/llama-3.2-nemoretriever-300m-embed-v1 | default | $0.010/request | - | — | — | — |
kimi-k2-5
Moonshot Kimi K2.5 is an open-weight multimodal agent model with native vision and text input, strong coding performance, and a 256K context window.
glm-5-1
Zhipu GLM-5.1 is a next-generation GLM model aimed at frontier reasoning, coding, and bilingual agent applications.
deepseek-v3-2
DeepSeek V3.2 is an upgraded V3-series MoE model with stronger reasoning, coding, and math performance, widely available through OpenAI-compatible API relays.
minimax-m2-5
MiniMax M2.5 is MiniMax's flagship text model for coding and agents, with SOTA-level programming and agentic performance, improved token efficiency, and fast high-TPS API deployment.
minimax-m2-7
MiniMax M2.7 is a high-tier M2-series model tuned for complex reasoning, long-context dialogue, and production-grade API workloads.
gpt-oss
GPT-OSS is an open-weight language model family designed for self-hosted inference, research, and cost-efficient alternatives to proprietary GPT-class models.
