# ISTA DeepSeek-V4.1-Flash Quantization Benchmark Comparison Clarification

- URL: https://spark.tlec.top/en/news/ista-deepseek-v41-flash-1017-gsqrco-quants-comparison-bcca3978/
- Date: 2026-10-30
- category: model
- source: https://www.reddit.com/r/LocalLLaMA/comments/1xjkjla/ista_deepseekv41flash1017_gsqrco_quants_comparison
- sourceName: r/LocalLLaMA
- tags: DeepSeek, Quantization, LLM, Benchmark

> ISTA addresses benchmark discrepancies with Unsloth regarding DeepSeek-V4.1-Flash-1017, highlighting the impact of reasoning budget limits.

ISTA has addressed recent benchmark comparisons published by Unsloth that differed from their results for DeepSeek-V4.1-Flash-1017 (763B parameters):

- **Discrepancy Source**: The performance variance stems from benchmark constraints rather than model quality. Unsloth's comparison used a strict 32K token reasoning budget, whereas ISTA's benchmarks allowed up to 128K output tokens.
- **Standard Settings**: ISTA used a 128K context window and a reasoning effort set to 50.
- **Open Collaboration**: All code is available on GitHub and papers on arXiv. The team invites independent verification using their exact settings.

[Original Link](https://www.reddit.com/r/LocalLLaMA/comments/1xjkjla/ista_deepseekv41flash1017_gsqrco_quants_comparison)