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Benchmarks / Results

No video yet · tested 2026-10-29

unsloth/DeepSeek-V4.1-Flash-1017-GGUF UD-IQ2_XXS

llama.cpp b11717-b72050d03 · UD-IQ2_XXS · run it yourself

PerformancePrefill, full window 430 s Decode about 31 tok/s at 2K context, no drafter. Part of the model runs from system RAM and the NVMe.
Tool useBFCL core 70.3 %
Context retentionRecall over the grid 27 / 27 100%
Battle arena no result No score: both runs hit the runner's 300-minute limit partway through the 15 gauntlet battles, at 40 to 65 minutes an answer.
Drawing no result Not scored yet: the facts in the drawing are not checked.
Voxel no result No final build: the session ended before it handed one in.
DesignHard rules 7 / 7
Rube GoldbergBall in the cup no
CAPTCHASolved 18 / 40 It ran with 20 minutes a puzzle; the score is taken at 7 minutes like every other model's. Within its own 20: 23 of 40.
Thinking tokenstotal over 5 tests 866,249
VRAM in usethe most in any test 94.4 GB

Speed

Prefill is how fast it reads the prompt, decode how fast it writes. Both on a cold cache, one request at a time, as the prompt grows to the full window.

Prefill, tokens per second

0 500 1,000 1,500 2K8K32K64K128K240K 1,006 tok/s571 tok/s

prompt length, tokens

Decode, tokens per second

0 10 20 30 40 2K32K64K128K240K 31.1 tok/s28.7 tok/s

context already in the window, tokens

28.9 tok/s
Spec-Bench, 1 user
39.7 tok/s
Spec-Bench, 4 users at once

Tool use

BFCL, the Berkeley function-calling benchmark: does it call the right tool with the right arguments, say no when no tool fits, and keep it up over a conversation.

Calling the right tool

one functionsimple_python
95 / 100
one of several functionsmultiple
89 / 100
several calls at onceparallel
91 / 100
real users, one functionlive_simple
81 / 100
real users, several functionslive_multiple
76 / 100

Saying no

no tool fitsirrelevance
77 / 100
real users, no tool fitslive_irrelevance
78 / 100

Multi-turn

a conversationmulti_turn_base
25 / 50
a tool is missingmulti_turn_miss_func
26 / 50
a detail is missingmulti_turn_miss_param
19 / 50
a long conversationmulti_turn_long_context
24 / 50

Context retention

A fact hidden in a long document, at three depths, in three kinds (a code, a contradiction, a date). Can it still find it as the document fills the window?

window filledfact at 10 %fact at 50 %fact at 90 %
33 %3 / 33 / 33 / 3
66 %3 / 33 / 33 / 3
99 %3 / 33 / 33 / 3

control at 8,192 tokens: 3 / 3

CAPTCHA

40 puzzles, 2 of each of 20 kinds, solved in a real browser with the mouse and keyboard. A solve counts within 7 minutes, as for every model.

Easy
10 / 18
Medium
4 / 10
Hard
4 / 12

By kind

Geometry Clickeasy
Hold Buttoneasy
Image Matchingeasy
Misleading Clickeasy
Patch Selecteasy
Pick Areaeasy
Select Animaleasy
Slide Puzzleeasy
Unusual Detectioneasy
Bingomedium
Dice Countmedium
Image Recognitionmedium
Object Matchmedium
Place Dotmedium
Click Orderhard
Connect iconhard
Coordinateshard
Dart Counthard
Path Finderhard
Rotation Matchhard

filled: solved within 7 min · hollow: not

What it made

Drawing (SVG)

Drawing (SVG): unsloth/DeepSeek-V4.1-Flash-1017-GGUF UD-IQ2_XXS

Design board, six moments

Design board, six moments: unsloth/DeepSeek-V4.1-Flash-1017-GGUF UD-IQ2_XXS

The setup it ran with

Enginellama.cpp b11717-b72050d03
QuantizationUD-IQ2_XXS
Context window262,144 tokens
KV cacheq8_0
Drafter–
Sampler (from the model card)temperature 1.0, top_p 1.0, top_k 0, min_p 0.0
Reasoning effortmax