MiniMax M3.1 Flash ranks #29 of 82 models on the October 2026 ToneBench board, and MiniMax M3.1 Flash (max) is its only configuration, #56 of 135 configurations, with a Writing Score of 77.8/100 and a Writing Elo of 1710. One script costs $0.021 at API list price.
Last updated , from board data generated at 16:17 UTC.
Rank, scores, the nine metrics, the 10 reference scripts, cost and setup for one
configuration (a model at one reasoning setting). Key Results sums it up; the section links below it jump to the detail.
Model Rank ?
#29 of 82 modelsits only configuration is #56 of 135 configurations
Writing Score ?
77.8 out of 100
Writing Elo ?
1710 95% range 1658 to 1751
Cost per Script
$0.021 at API list price
Key Results
StandingMiniMax M3.1 Flash ranks #29 of 82 models, and this is its only configuration on the board. As a configuration, it is #56 of 135 configurations by Writing Elo (1710), in the middle third of the board. Its 95% range (1658 to 1751) overlaps 14 other configurations, ranked #54 to #69, so its exact place among them is not settled.
MetricsBest-ranked: Visual Cue Quality (80.2, 25th of 135 configurations, +5.9 against the board median). Lowest-ranked: Continuity & Emotion (74.1, 83rd of 135 configurations, -3.0 against the board median).
ScriptsFrom 75.2 on Script 10 (engineering process walkthrough) to 79.2 on Script 1 (opinion): a 4.0-point spread across the 10 reference scripts.
ConsistencyIts Writing Score moves ± 2.0 between drafts of the same script, against ± 2.7 for the median configuration: steadier than most.
ValueGPT-6 Luna (max) ranks about the same (their Elo ranges overlap) and costs about $0.0046 per script, against $0.021 per script for this one.
Writing Elo comes from comparing its average on each script with every other configuration's average on that same script; a gap smaller than the draft-to-draft variation counts as a draw (what the ranges can and cannot show).
On Visual Cue Quality, its best-ranked metric, its visual cues are more usable than the typical configuration's. Continuity & Emotion ranks in the bottom half (83rd of 135 configurations), so plan on reworking the transitions between sections.
The script format moves its score. If most of your scripts look like its best or weakest format, that result is a better guide than the average.
Its drafts vary little, so the first draft is usually close to the next one.
It outranks 45 configurations that cost at least 50% more.
It ranks highest of the 4 MiniMax configurations on the board.
Among proprietary models, MiniMax M3.1 Flash is 22nd of 48. As a configuration, it is 45th of 92 proprietary configurations. The best open-weight configuration, GLM-5.3 (max) at configuration #16, outranks it.
Lab
MiniMax 1st of 4 modelsthis setting 1st of 4 configurations
Weights
Proprietary 22nd of 48 modelsthis setting 45th of 92 configurations
Each corner is one metric on a 0 to 100 scale; the further out, the higher the score. A corner outside the dashed line beats the board median. Hover or tap a point for its exact score, and a metric name for what it rewards.
MiniMax M3.1 Flash (max)Board medianBoard best per metricMax possible (100)
Scores by Metric
Nine metrics, each scored 0 to 100 and weighted into the Writing Score; the weight sits under each name. Rank is out of all 135 ranked configurations.
Score colors:Strong: 82 and upMiddle: 65 to 81.9Weak: under 65
This modelBoard best (upper line)Board median (lower line)±: spread between drafts?: what the metric rewards
Tone & Voice Match ?19% weight · -1.4 vs median
board best 82.8 · Claude Opus 5.5 (max effort)72.0± 2.1 · 76thboard median 73.4
Writing Craft & Clarity ?13% weight · -1.6 vs median
board best 83.2 · Claude Opus 5.5 (xhigh)72.4± 1.7 · 80thboard median 74.0
Substance, Accuracy & Value ?15% weight · +2.7 vs median
board best 88.4 · Claude Opus 5.5 (xhigh)83.5± 1.6 · 45thboard median 80.8
Continuity & Emotion ?14% weight · -3.0 vs median
board best 85.7 · Claude Opus 5.5 (max effort)74.1± 1.6 · 83rdboard median 77.1
YouTube Best Practices ?12% weight · +0.4 vs median
board best 84.4 · Claude Opus 5.5 (xhigh)75.7± 2.1 · 66thboard median 75.3
Hook Strength ?10% weight · +0.3 vs median
board best 83.7 · Claude Opus 5.5 (max effort)79.6± 3.3 · 64thboard median 79.2
Length Adherence ?8% weight · +9.9 vs median
board best 98.8 · Claude Sonnet 5.5 (max effort)93.2± 4.8 · 27thboard median 83.2
Slop Score ?5% weight · +0.8 vs median
board best 89.0 · GPT-6 Sol (medium)81.6± 1.8 · 58thboard median 80.7
Visual Cue Quality ?4% weight · +5.9 vs median
board best 85.9 · Claude Opus 5.5 (max effort)80.2± 2.0 · 25thboard median 74.2
Scores by Reference Script
Every ranked configuration writes five drafts for each of the same 10 briefs, and each score is the mean of those drafts. The rank and board median compare it with every configuration on that script, which separates a weak result from a hard script. The result on the format closest to your own work is the most relevant.
Script 1
opinion / warning explainer
79.2
out of 100
47th of 135 configurations on this script · board median 76.4
Script 2
news-analysis / skeptical explainer
78.9
out of 100
56th of 135 configurations on this script · board median 77.6
Script 3
personal roadmap / opinion
78.9
out of 100
48th of 135 configurations on this script · board median 76.1
Script 4
short explainer
75.8
out of 100
59th of 135 configurations on this script · board median 74.5
Script 5
news-analysis / opinion explainer
77.2
out of 100
66th of 135 configurations on this script · board median 77.1
Script 6
founder announcement / personal origin story
78.3
out of 100
72nd of 135 configurations on this script · board median 78.8
Script 7
personal technical walkthrough / agentic workflow case study
76.9
out of 100
68th of 135 configurations on this script · board median 76.9
Script 8
product release announcement / personal observation
78.8
out of 100
63rd of 135 configurations on this script · board median 78.3
Script 9
career guide / hiring analysis
78.5
out of 100
67th of 135 configurations on this script · board median 78.5
Script 10
engineering process walkthrough / presentation adaptation
75.2
out of 100
60th of 135 configurations on this script · board median 73.6
Consistency Between Drafts
Every score on this page is the mean of 5 drafts per script. The ± is the standard deviation between those drafts: the larger it is, the more two drafts of the same script can differ.
Consistency by Metric
Metric
This model
Board median
Verdict
Tone & Voice Match ?
72.0 ± 2.1
± 2.0
typical
Writing Craft & Clarity ?
72.4 ± 1.7
± 1.6
typical
Substance, Accuracy & Value ?
83.5 ± 1.6
± 2.3
typical
Continuity & Emotion ?
74.1 ± 1.6
± 1.5
typical
YouTube Best Practices ?
75.7 ± 2.1
± 2.5
typical
Hook Strength ?
79.6 ± 3.3
± 2.8
typical
Length Adherence ?
93.2 ± 4.8
± 7.0
typical
Slop Score ?
81.6 ± 1.8
± 1.6
typical
Visual Cue Quality ?
80.2 ± 2.0
± 3.0
typical
Cost, Time and Tokens per Script
Logged on every run; none of these figures affects the Writing Score. Time is the average time to one accepted script, retries included. Cost is one script at the API list price.
Time per Script
4.9 minabout 3x the board median of 1.5 min
Prompt tokens in
13.3kstyle guide + brief + research packet
Tokens Out
31.2kwell above the board median, so a lot of thinking
Cost per Script
$0.021measured from actual billed tokens; varies ± 0.005 between drafts
List Price Used
$0.15 / $0.6input / output, per million tokens
Scores by Judge
Four judges score the same 50 stored drafts blind against the same rubric: three LLM judges from three labs, plus Jev, a typed judge from TypeSafe that rates each metric on five described quality levels. No single judge's taste decides the result. The Writing Score of 77.8 combines their scores with the parts computed in code (Length Adherence and half of the Slop Score). The highest and lowest judge are 13.8 points apart on its Writing Score. That is close to the board median of 13.7. Each judge also has its own scale, so every card shows that judge's score against its average across the board. How the panel works.
Claude Opus 5.5 (medium)
Anthropic
71.5
+3.8 against its board average of 67.6
GLM 5.3 Flash
Z.ai
85.3
+3.1 against its board average of 82.2
GPT-6.1 Sol (medium)
OpenAI
77.2
+6.3 against its board average of 70.8
Jev 1.13
TypeSafe
77.2
+3.7 against its board average of 73.5
Evaluation Setup
How this exact configuration was run and judged: route, model ID, dates, sampling and prompt.
Exact model / route idminimax/minimax-m3.1-flash:free at reasoning level: max.
Generations5 independent runs × 10 scripts = 50 drafts, stored after generation and never edited.
Run dates2026-10-20.
JudgesClaude Opus 5.5 at medium effort through the Claude Code subscription, GPT-6.1 Sol at medium reasoning through the Codex CLI, GLM 5.3 Flash through OpenRouter, and Jev 1.13 from TypeSafe. One call per judge per draft. All four score every draft on their own, blind to which model wrote it. The three LLM judges use the identical rubric and have to quote evidence before they score a metric. Jev answers the same rubric as one question per metric, choosing among five described quality levels, and writes no text. Seven metrics are the plain average of the four judges. Length is computed from the spoken word count, and Slop is half computed (lexical scans minus the spoken-dash penalty) and half judged. The Writing Elo is cross-checked with a Bradley-Terry fit of the same pairwise results (methodology).
Sampling and promptThe provider's default sampling, with no fine-tuning and no system-prompt changes. Every current-ranked model gets the same prompt, about 13,000 tokens (the count shifts a bit with each model's tokenizer): a style guide built from Louis's voice and storytelling guides, the target length, and the brief with its research packet. Generation is closed-book on every route: the prompt is the only source, with no web search, browsing, code execution, file access or other tool (generation).
What stays privateThe exact rubric and any non-public reference material. Each script is normally benchmarked before its video is published, which lowers the odds that a model has seen the reference, though it does not rule it out (why).
Frequently Asked Questions
How Good Is MiniMax M3.1 Flash (max) at Writing?
MiniMax M3.1 Flash ranks #29 of 82 models on ToneBench, and this is its only configuration on the board. This configuration is #56 of 135 configurations, in the middle third of the board, with a Writing Elo of 1710 and a Writing Score of 77.8/100. The ranks come from full YouTube scripts written in the voice of Louis-François Bouchard and judged blind, with the channel's finished script as the reference. The benchmark measures long-form scripted writing, so the result does not carry over to every kind of text.
Is MiniMax M3.1 Flash (max) the Best MiniMax Model for Writing?
Yes. Of the 4 MiniMax configurations on the board, MiniMax M3.1 Flash (max) ranks highest by Writing Elo, which makes MiniMax M3.1 Flash the top MiniMax model, #29 of 82 models.
Is MiniMax M3.1 Flash (max) Good Value for the Money?
It costs about $0.021 per script. GPT-6 Luna (max) ranks about the same, inside the overlap of their Elo ranges, and costs less.
What Are the Strengths and Weaknesses of MiniMax M3.1 Flash (max)?
Its best-ranked metric is Visual Cue Quality (80.2, 25th of 135 configurations, +5.9 against the board median), and its lowest-ranked is Continuity & Emotion (74.1, 83rd of 135, -3.0). The Scores by Metric section shows the board median and the board's best for each one.
How Was MiniMax M3.1 Flash (max) Evaluated?
It was run through OpenRouter, with the exact model/route ID minimax/minimax-m3.1-flash:free at reasoning effort max, first run on 2026-10-20. It wrote each script 5 times with the provider's default sampling and no fine-tuning. The Evaluation Setup section and the methodology page have the details.
Does MiniMax M3.1 Flash (max) Have Open Weights?
No. It is a proprietary model: its weights are not public. Among proprietary configurations it is 45th of 92 for writing.