DeepSeek V4.1 Flash (thinking default)v1.7 · 10 s rule

Data: JevBench v1.8.7, published 2026-11-03 · method v1.7 (10 s rule), re-scored from the recorded per-decision times

Capability 89.6 · API offering, ranked on the API leaderboard · outside the Jev-class caps (cost 14.9× Jev (v1.5 reference); latency 3.6× Jev (v1.5 reference)), below the Capability ranking

Measured 2026-10-06 on A4 ∪ P, 600 items, equated (+2.57 I / +3.35 C); round score-a4-2.

open weights, proprietary API route

Base model: undisclosed

intelligence

84.5

calibration

94.8

speed

66.0

cost

19.6

Composite (secondary)

6.9 · Composite rank #43 of 48 on the API leaderboard

Cost and measurement conditions

$0.480 per 1,000 decisions (public tariff)

measured: token usage of the 6 Oct 2026 A4 u P run x tariff USD 0.15/M input, 0.6/M output (spec deepseek-flash.json), per 1,000 decisions on the v1.6.1 common cost basis (591 of 600 items; the 9 A4 u P items outside the Jev reference's accepted input range are excluded, cost-basis-a4.json)

p50 latency: 2.2 s

none (API)

Measured latency over 600 decisions: p50 2.205 s · p95 11.414 s

34 decisions over 10 s (31 of them answered without error, counted as wrong).

A decision that takes longer than 10 seconds (measured time) counts as a wrong answer and as zero calibration for that item: each type's calibration is multiplied by the share of its decisions answered within 10 s. The limit uses the measured time (raw). The displayed adjusted time for self-hosted rows (2 × + 0.15 s) is an assumption and is not used for the limit.

JevBench v1.6.43 values (method v1.6, before the 10 s rule)

Capability 97.35 · Composite 7.09 · rank #180 on the all-systems board · #40 API

intelligence 94.71 · calibration 100.00 · speed 68.07 · cost 19.56

v1.6 speed basis (124 items): p50 2.038 s · p95 7.648 s

These figures are kept for comparison. The current figures above are re-scored under the 10 s rule from the recorded per-decision times and replace them.

Breakdowns (not part of the score)

Chance-corrected competence (0 = chance, 100 = perfect) on A4 ∪ P (600 items: 300 open + 300 sealed; fewer sealed items than the full set, so wider uncertainty). Raw values, not equated. Category cells use A4+P+L1+L2+L3; per-type/tier cells use the original basis above. Radars against Jev.

Request typeOpenSealed
choice95.596.1
noul93.587.9
score58.060.5

Capability by subject topic

Rules, policy & law80.7n=1133
Coding & software67.7n=202
Math & numbers67.0n=269
Finance & commerce84.0n=178
Support & operations77.3n=109
Everyday language90.0n=130
Safety & security93.6n=84

Use cases (TypeSafe categories)

Model routing81.0n=267
Legal & compliance67.7n=269
Customer support87.8n=156
E-commerce80.2n=88
Insurance claims90.8n=92
Risk assessment94.5n=88
Financial crime74.8n=76
Feature extraction81.3n=90
Lead generation79.4n=86
Recruiting77.8n=88
Knowledge graphs83.1n=82
LLM guardrails95.5n=82
Moderation76.0n=69
Code linting70.1n=81
Search & retrieval91.1n=84
Science87.7n=82
Advertising77.1n=85
Gaming70.0n=79
Demand forecasting65.4n=72

Cells need at least 15 answered items; † fewer than 30 (indicative only, listed below the radar in the compare view).

Previous measurement (v1.5.x, not comparable)

Capability 89.6 · composite 6.9 · cost $0.480 per 1,000 decisions (public list price)

Last measured 2026-10-06, measurement release v1.6.1. Older method and scale; the current figures above replace it.

Published source