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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Nebius AI Studio route for BAAI BGE-M3 embeddings, covering retrieval and multilingual semantic matching metadata.
BAAI/bge-m3 is a Text model from Nebius AI Studio (US). HotON.ai tracks it at $0.01 per 1M input tokens and $0.01 per 1M output tokens, with a 8K-token context window. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
BAAI/bge-m3 is tracked at $0.01 per 1M input tokens and $0.01 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.01 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
BAAI/bge-m3 supports up to a 8K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, BAAI/bge-m3 is cheaper than 99% of models on input price and ranks #402 of 535 by overall efficiency.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — BAAI/bge-m3 (Nebius AI Studio): $0.01/1M input, $0.01/1M output. https://hoton.ai/en/models/nebius-baai-bge-m3Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.