Ember-1
A reasoning-efficiency-optimized model released by Fireworks Research, built on Kimi K3. It reduces token consumption by approximately 40% by generating shorter reasoning chains while maintaining top-tier reasoning quality.
Timeline (last 90 days)
Ember-1, developed by Fairworks Research through post-training on K3, achieved the same success rate as K3 in online A/B testing of coding traffic while using 71% fewer reasoning tokens and 39% fewer total tokens.
The original post only provides conclusory descriptions and does not include a complete test methodology, a list of comparison models, or specific numerical values.
The Ember-1 model consumes fewer tokens per conversation turn.
Fireworks offers a serverless way to try Ember-1, allowing developers to call the model via API without needing to deploy or manage GPU resources themselves.
Ember-1's token efficiency test data comes from third-party independent evaluation organization @ValsAI.
Ember-1 is a proprietary model developed by Fireworks AI.
Fireworks AI has released a new model called Ember-1.
News about Ember-1 reached the top of Hacker News, receiving 192 upvotes and over 110 comments.
Proprietary models that achieve deep co-optimization on their own infrastructure can theoretically attain better inference efficiency than hosting third-party models.
Publicly available information on Ember-1's specific technical specifications, training details, and benchmark results is currently limited; the Fireworks AI official blog should be treated as the authoritative source.
5 more timeline events
All Facts (12)
Ember-1, developed by Fairworks Research through post-training on K3, achieved the same success rate as K3 in online A/B testing of coding traffic while using 71% fewer reasoning tokens and 39% fewer total tokens.
50%UnverifiedThe Ember-1 model consumes fewer tokens per conversation turn.
50%UnverifiedThe original post only provides conclusory descriptions and does not include a complete test methodology, a list of comparison models, or specific numerical values.
50%UnverifiedEmber-1's token efficiency test data comes from third-party independent evaluation organization @ValsAI.
50%UnverifiedProprietary models that achieve deep co-optimization on their own infrastructure can theoretically attain better inference efficiency than hosting third-party models.
50%UnverifiedEmber-1 is a proprietary model developed by Fireworks AI.
50%UnverifiedEmber-1 is capable of generating shorter reasoning traces while maintaining top-tier output quality.
50%UnverifiedCompared to comparable models, Ember-1 reduces token consumption by approximately 40% when completing reasoning tasks.
50%UnverifiedEmber-1 is built on top of Kimi K3, through specialized optimization rather than training from scratch.
50%UnverifiedFireworks offers a serverless way to try Ember-1, allowing developers to call the model via API without needing to deploy or manage GPU resources themselves.
50%UnverifiedFireworks AI has released a new model called Ember-1.
50%UnverifiedFireworks Research has released Ember-1, a model optimized for inference efficiency.
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