Know the exact model.
The canonical record is mistralai:lidstral-arabic. Capabilities and context limits reflect source observations; the limits of a particular inference endpoint may differ.
Inclusion in the radar does not mean this model is served by Flonno. For the model currently available through our API, see Qwen3.8 Flash 27B and API pricing.
Artifact evidence
mistralai/LIDstral-Arabic@077451f0a81211d2d9fe5306f84eb1c1ac7d3287
official model card · Pinned artifact · Hugging Face Hub. First observed Oct 13, 2026; last observed Oct 13, 2026.
mistralai/LIDstral-Arabic
official model card · Mutable source entry · Hugging Face Hub. First observed Oct 9, 2026; last observed Oct 13, 2026.
mistralai/LIDstral-Arabic@0fc06371eaf5f01a0a5655f59604ddc8952e35b7
official model card · Pinned artifact · Hugging Face Hub. First observed Oct 13, 2026; last observed Oct 13, 2026.
mistralai/LIDstral-Arabic@06b145b81c27644e4e300d16f1d5b79edb018091
official model card · Pinned artifact · Hugging Face Hub. First observed Oct 13, 2026; last observed Oct 13, 2026.
mistralai/LIDstral-Arabic@ce0c6f23ecde9b687f3f5795de83c2dbd85c59e9
official model card · Pinned artifact · Hugging Face Hub. First observed Oct 9, 2026; last observed Oct 13, 2026.
Evaluate it for your workflow.
Pin the artifact and inference configuration. Use representative inputs with a written answer rubric, then record accepted results, errors, complete request time and token usage. Keep output budgets and concurrency explicit.
Benchmark results apply to their recorded version and method. They do not transfer automatically to a different runtime or a quantized derivative.
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