Fireworks: Ember-1
- by fireworks
- fireworks/ember-1
Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it produces shorter reasoning traces, using roughly 40%...
What the numbers mean
- Context window1,048,576 tokens
- How much the model can read in one request, counting your prompt, any files and the conversation so far. That is about 790,000 words, or 1,600 pages.
- Max output943,718 tokens
- The longest single reply it can write: about 710,000 words.
- Input price$3 per million tokens
- What you pay for everything the model reads. A 1,000-word prompt costs less than a cent.
- Output price$15 per million tokens
- What you pay for everything the model writes. Output usually costs more than input. A 500-word answer costs about $0.01.
- Modalitiestext, image in, text out
- The kinds of content it accepts and the kinds it produces. A model that takes images in can read a screenshot; one that only puts text out cannot draw.
Supported parameters
The settings you can pass with a request. A model that lists tools can call functions; one that lists structured_outputs can be held to a JSON schema.
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokenspresence_penaltyreasoningreasoning_effortrepetition_penalty