Grok 4.1 brings personality up front — 0.796 unique-word ratio, the highest in the field, terse and sharp at 137 words/turn. Community ELO #5. The reliability picture is brutal: 1.33 fatal flaws per session (highest in our pool), Flaw Hunter mean 12.8 (lowest in our pool), and rank 11 of 11 on narrative momentum. It's a model that says interesting things and then forgets where the scene is going.
▌ Section 03 · At a Glance
Cross-test position
Grok 4.1 sits at #20 on Adversarial, the caveat to watch.
Composite
19
Arena ELO
6
Multi-Turn
18
Rubric
17
Adversarial
20
Cost · Latency
4
▌ Section 04 · Strength & Weakness
Where it shines. Where it stumbles.
▲ Strength
Most distinctive prose voice in the field — highest unique-word ratio (0.796). Solid tone consistency at 4.53/5.
▼ Weakness
Bottom-1 on narrative momentum (F8 score 3.80, rank 11 of 11 in our pool). Highest fatal-flaw rate in the round (1.33/session). Lowest Flaw Hunter score in the pool (12.8).
▌ Section 05 · Failure Modes
Per-axis breakdown.
Six adversarial probes per session, twenty sessions per model, judged by Sonnet 4 against a fixed rubric. Further right = the model handled the failure mode better. Each axis is drawn as a band on the rubric’s 1 to 5 scale, not a number: judges disagree by about 0.3 at the model level, so overlapping bands are a tie. The right column is the rank within the rp-bench pool.
F1 · Agency
Doesn't write your character's actions
15
#15
F2 · POV / Tense
Holds 2nd-person, present-tense narration
15
#18
F3 · Lore
Doesn't break worldbuilding
15
#11
F8 · Momentum
Pushes scene forward when user goes passive
15
#13
F12 · Instruction Drift
Keeps to the system prompt
15
#16
F13 · Context Attention
Holds character cards 50+ turns deep
15
#21
“The most distinctive voice in the field — and the most frequent to lose its place in the scene.”
Round 01 verdict · Voice vs structure
▌ Section 06 · Subjective Dimensions
Engagement · Voice · Collaboration.
All three dimensions scored 1 to 5 by the Sonnet 4 LLM judge across twenty 12-turn multi-turn sessions. The same battery feeds the failure-mode rubric above; these are the subjective half of that judgment, drawn as bands with no number for the same reason.
Engagement
15
Tone Consistency
15
Collaboration
15
▌ Section 07 · Behavioral Metrics
How it writes.
Quantitative signals from the same 20 multi-turn sessions, compared against the population mean across all 11 models.
Avg words / turn
137↓
pop avg 265 · -48%
Unique-word ratio
0.796↑
pop avg 0.657 · +21%
Repetition score
0.015↓
pop avg 0.048 · -69%
▌ Section 08 · Flaw Hunter
Adversarial probe score.
Score of 100 minus deductions across 22 fail-mode flag types on adversarial 12-turn sessions. Further right = fewer flaws caught. Drawn as a band, not a number: about ten points either way is rater noise, so bands that overlap are tied.
▌ Craft band
-20100
From the Round 01/02 flaw-hunter pool. The current card carries the newer single-rater band.
Fatal/sess 1.33
Major/sess 8.17
▌ Top flaws caught
purple_proserecycled_descriptionagency_violation
▌ Section 09 · Sample Responses
Highest- and lowest-rated turns.
▌ Pending Round 02
Best- and worst-rated sample responses ship with the raw-vote endpoint in Round 02. When that lands, this section will surface the model’s highest- and lowest-scoring blind-arena turns side by side, scored on the same rubric the leaderboard uses.
▌ Round 01 verdict
Grok 4.1 has a voice. The unique-word ratio and the tone consistency are real, and there's no other model in the pool that sounds quite like it. The trade-off is structural — it scores last in the field on narrative momentum and racks up fatal flaws faster than any other model we tested. Reach for it for novelty. Keep your finger on the swipe.