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DeepSeek V4 Flash API prices compared across providers (Oct 2026)

Coverage of "DeepSeek V4 Flash API prices compared across providers (Oct 2026)" from 12 sources, with a live timeline of who reported what and when.

Read the full story at r/huggingface ↗

Timeline · 12 reports

  1. 2026-10-24 16:29 · r/LocalLLaMA
    10 tok/s Deepseek V4.1 Flash 8K with Strata on a 5090 with 64GB DDR5 Ram
  2. 2026-10-24 08:05 · r/LocalLLM
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  3. 2026-10-24 08:05 · r/LocalLLaMA
    [Release] ISTA GSQ-RCO GGUFs for DeepSeek-V4.1-Flash-1017
  4. 2026-10-23 23:38 · r/LocalLLM
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  5. 2026-10-23 23:37 · r/LocalLLaMA
    ISTA-DASLab/DeepSeek-V4.1-Flash-1017-GSQ-RCO
  6. 2026-10-23 20:06 · r/huggingface
    5.5× llama.cpp’s prefill throughput on DeepSeek V4.1 Flash 1017 GGUF: TensorSharp benchmarks and quality checks
  7. 2026-10-23 18:32 · r/LocalLLM
    Full DeepSeek-V4.1-Flash-1017 (510 GB, original weights) on a 64 GB RAM + RTX 3060 12 GB PC: up to 7.4 tok/s, 98.3% agreement with the full model. Engine released (Apache-2.0)
  8. 2026-10-23 11:49 · r/LocalLLaMA
    Maya-XS runs DeepSeek-V4.1-Flash in 120.6 GB, with all 384 experts resident in GPU memory on a 128 GB Ryzen AI Max.
  9. 2026-10-22 20:58 · r/LocalLLM
    GitHub - vincalkr/DS41Engine: DeepSeek-V4.1-Flash 1017 on 1x-2x RX 7900 XTX (gfx1100, ROCm/HIP): max optimizations
  10. 2026-10-22 13:30 · r/huggingface
    Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality.
  11. 2026-10-22 13:29 · r/LocalLLM
    Full DeepSeek-V4.1-Flash-1017 (510 GB) on an RTX 3060 12 GB + 64 GB DDR4 + NVMe: 5.8 tok/s cold, 7.4 warm, >97% exact quality.
  12. 2026-10-22 08:25 · r/huggingface
    DeepSeek V4 Flash API prices compared across providers (Oct 2026)

More stories

  1. Qwen 3.8 Flash Next GSQ-RCO IQ_3S at 70tok/s decode/1900tok/s prefill on 2013 Xeon E5-1680v2, 128GB quad channel DDR3-1866 ECC, and an EVGA 3090 FTW3 — r/LocalLLM
  2. CoreWeave Leads MLPerf 0.7 Endpoints Benchmark with DeepSeek-R1 — CoreWeave Blog
  3. High-Performance llama.cpp fork for Legacy GPUs: Kepler Support, CUDA Graphs & Windows NCCL! — r/LocalLLaMA
  4. NVIDIA's Dory 1.0 4B (looped reasoning model) on Apple Silicon with MLX: 101 tok/s at 1 loop, 69 at 2, on an M5 Max (4.2 GB 8-bit build) — r/LocalLLM
  5. Benchmark: Recursive's Flint 40B A2.5B Q4 achieves 128 tok/s on MacBook Pro M4 Pro 48GB using Kapitsa, an open-source Apple Silicon optimized engine, Claude/Codex/Pi/OpenCode compatible. — r/LocalLLaMA
  6. ‘Jensen’s nightmare’: Huawei, DeepSeek narrow AI chip ecosystem gap with Nvidia: report — South China Morning Post Tech
  7. Carbon-X: the best open DNA language model runs locally with llama.cpp — r/LocalLLaMA
  8. NVIDIA releases Nemotron 3.5 Bolt E4B - Runs locally on 6GB RAM. — r/LocalLLM

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