Le Chonk AI vs DeepSeek V4.1 Flash: documented capabilities

Versions and evidence

Read DeepSeek models & pricing, DeepSeek change log for the other model. Listed rates are not normalized quotes: promotions, cache writes, long prompts and channel terms may change them.

Extract a ticket decision into a small, verifiable JSON object.

Return only JSON with ticket_id, deadline, approved, evidence. Cite paragraph IDs. Do not infer approval.
[P1] Ticket T-104 requests a data export by October 12, 2026.
[P2] The reviewer requested a scope clarification.
[P3] No approval was issued as of October 7, 2026.

• ticket_id is T-104, deadline is 2026-10-12, approved is false.
• Evidence for approval status references P3; response is valid JSON.
• Repeat the same prefix separately to measure actual cache usage. Compare peak and off-peak billing, not assumed discounts.

These checks are authored reference expectations, not either model’s output. For linked fixtures, download the operations PDF and chart.

Common evaluation protocol

1. Freeze the provider, exact model ID, date, reasoning setting and system prompt. Use a fresh conversation for every run.
2. Give both models the same task input and tool permissions. Record any provider-specific preprocessing and context truncation.
3. Use three attempts per task, a 60-second request timeout, and a fixed tool-step budget. Preserve failed/refused attempts as results.
4. Validate with the published checks. Record wall time, billed tokens, cache hits, tool fees and any human edits. Compare cost per accepted result.

Migration and billing caveats

The legacy deepseek-v4-flash alias is routed to V4.1 Flash in the reviewed docs. Record the returned model, date and usage. Peak/off-peak schedules and cache-hit discounts are provider-specific.

Cost per accepted task = all billed inference, tools and retries divided by accepted results. Keep output token usage and human corrections in the record; a lower per-token rate can still produce a more expensive job.

How to make a choice

DeepSeek’s published Flash token rates are lower in this snapshot. That does not prove lower cost per correct extraction. Measure accuracy, output volume, retries and the actual cache-hit fields before routing a workload.

The next useful evidence is a preserved run trace from your own workload. Until it exists, this is a shortlist based on documentation. Browse task exercises.