Fireworks / fireworks/ember-1
Ember-1 - access through LLMTR
Ember-1 is a Fireworks research model built on Kimi K3 and trained to reach its answer with a shorter reasoning trace. It offers a 1,048,576-token context window, text and image input (base64 data URLs or https URLs), tool calling including forced tool_choice, and JSON Schema output. Reasoning is ON by default and reasoning tokens are billed as output; switch it off with reasoning: false or the :fast suffix. reasoning_effort levels are not supported. Repeated prompt prefixes are cached automatically and billed at the discounted rate. This is a time-limited research preview: from 6 October 2026 this identifier returns 410 model_retired and names the same-priced moonshot/kimi-k3, which accepts images only as base64 data URLs and does not list strict JSON Schema output (use json_object there).
Technical specifications
| Canonical ID | fireworks/ember-1 |
|---|---|
| Provider | Fireworks |
| Context window | 1,048,576 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $3.00 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.300000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $15.00 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"fireworks/ember-1","messages":[{"role":"user","content":"Hello"}]}'Related models
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