Fireworks AI
Fireworks AI is a Redwood City, California inference platform, co-founded in 2022 by CEO Lin Qiao, who previously led the PyTorch team at Meta, with a founding team drawn largely from that group. Rather than training its own foundation models, Fireworks specializes in serving proprietary and open-source models through its own optimized stack, and it counts DeepSeek, Kimi, GLM, and Qwen among the open-weight families it hosts. On September 23, 2026 it shipped Ember-1, the first model in a new Fireworks Research series (the company had post-trained open weights before, including the Llama 3-based FireFunction-v2): a reasoning model post-trained from Moonshot's Kimi K3 that Fireworks says produces roughly 40 percent fewer reasoning tokens than K3 at comparable quality. Released as a Research Preview on Fireworks Serverless at $3 per million input tokens and $15 output, the same rate card as Kimi K3 itself, Ember-1 scores 92.2 percent on SWE-bench Verified against 93.2 for K3 at max settings on Fireworks' own table, essentially holding capability while cutting token spend. All figures are vendor-reported and no independent evaluator has scored Ember-1 yet.
Founded
2022
Headquarters
Redwood City, CA
CEO
Lin Qiao
Models
1 active
Key Products
Strengths
- ✓Ember-1: roughly 40 percent fewer reasoning tokens than Kimi K3 at comparable quality
- ✓Optimized serving stack for DeepSeek, Kimi, GLM, and Qwen open-weight families
- ✓Same $3/$15 rate card as Kimi K3 for Ember-1
- ✓Co-founded by former Meta PyTorch lead Lin Qiao
Fireworks AI Models
| Model | Input / 1M | Output / 1M | Context | Capabilities |
|---|---|---|---|---|
| Ember-1 | 3.00 | 15.00 | 1.0M | text, vision, tool-use, code, reasoning |
Prices per 1M tokens in USD. See the full pricing guide for detailed analysis.
Benchmark Scores
| Model | SWE-bench | MMLU-Pro | HumanEval | GPQA Diamond | MATH | OSWorld 2.0 | BrowseComp | FrontierCode v1.1 | Terminal-Bench 4.0 | Humanity's Last Exam (tools) |
|---|---|---|---|---|---|---|---|---|---|---|
| Ember-1 | 92.2 | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |