DeepSeek-V4.1-Flash lands on Fireworks: 552B MoE for coding and agents at 1/40th claimed cost
lqiao · x · 2026-09-11
- Fireworks has onboarded DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model with a 552B-parameter backbone, native image+text input, and up to 1M token context.
- Its Causal Encoder-Decoder architecture activates only 8B parameters at prefill and 16B at decode, cutting KV cache footprint to roughly a quarter of DeepSeek-V4-Flash — pitched as a workhorse for coding, cybersecurity, and agentic workloads.
- Fireworks claims it outperforms Opus 5 and GPT 5.6 Sol on DeepSWE, CyberGym, and Automation Bench at 1/40th the cost (vendor figures). Serverless pricing: $0.22 / $0.007 cached / $0.66 per 1M tokens (input/cached/output); on-demand dedicated deployment also available. Metadata shows function calling and fine-tuning not yet supported.
Related event: DeepSeek launches V4.1-Flash: 552B backbone, 1M-token context(5 posts)→
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