NVIDIA: BGE M3
BGE M3 is a language model from NVIDIA released on Jan 30, 2024. It reads text and writes text, with a 8K token context window and up to 1K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
Its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 8K
- Max output
- 1K
- Released
- Jan 30, 2024
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
BGE M3 pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What BGE M3 costs per month
Pick a workload close to yours or type your own volumes.
Alternatives to BGE M3
Models that take the same inputs, closest in price, cheaper ones first.
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More from NVIDIA
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BGE M3 questions
How much does the BGE M3 API cost?
$0 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of BGE M3?
8,192 tokens of input, and it can write up to 1,024 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does BGE M3 support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is BGE M3 open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was BGE M3 released?
Jan 30, 2024.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on BGE M3?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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