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Fireworks AI

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

Ember-1Fireworks ServerlessFireworks fine-tuning and training

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

ModelInput / 1MOutput / 1MContextCapabilities
Ember-13.0015.001.0Mtext, vision, tool-use, code, reasoning

Prices per 1M tokens in USD. See the full pricing guide for detailed analysis.

Benchmark Scores

ModelSWE-benchMMLU-ProHumanEvalGPQA DiamondMATHOSWorld 2.0BrowseCompFrontierCode v1.1Terminal-Bench 4.0Humanity's Last Exam (tools)
Ember-192.2N/AN/AN/AN/AN/AN/AN/AN/AN/A

Comparisons

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