Cohere Command A Reasoning ranks #79 of 87 models on the November 2026 ToneBench board, and Cohere Command A Reasoning (thinking on) is its only configuration, #143 of 151 configurations, with a Writing Score of 52.7/100 and a Writing Elo of 215. One script costs nothing on the free route it ran on.
Last updated , from board data generated at 17:52 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 ?
#79 of 87 modelsits only configuration is #143 of 151 configurations
Writing Score ?
52.7 out of 100
Writing Elo ?
215 95% range 159 to 265
Cost per Script
$0 the route used served it free
Key Results
StandingCohere Command A Reasoning ranks #79 of 87 models, and this is its only configuration on the board. As a configuration, it is #143 of 151 configurations by Writing Elo (215), in the bottom tenth of the board. Its 95% range (159 to 265) overlaps 2 other configurations, ranked #144 to #145.
MetricsBest-ranked: Visual Cue Quality (54.1, 136th of 151 configurations, -20.7 against the board median). Lowest-ranked: Length Adherence (25.6, 148th of 151 configurations, -59.2 against the board median).
ScriptsFrom 40.6 on Script 10 (engineering process walkthrough) to 61.7 on Script 8 (product release announcement): a 21.1-point spread across the 10 reference scripts.
ConsistencyIts Writing Score moves ± 7.2 between drafts of the same script, against ± 2.5 for the median configuration: more variable than most.
ValueIt ran free on the route used, so nothing on the board is cheaper.
Louis's PickFor full scripts, I wouldn't use it.
More Context Behind These Results
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).
Length Adherence ranks in the bottom half (148th of 151 configurations), so plan on trimming or padding to reach the target length.
The script format moves its score a lot. If most of your scripts look like its best or weakest format, that result is a better guide than the average.
Among open-weight models, Cohere Command A Reasoning is 28th of 34. As a configuration, it is 37th of 43 open-weight configurations. The best open-weight configuration is GLM-5.3 (max), at configuration #22, and every configuration above it is proprietary.
Lab
Cohere 2nd of 3 modelsthis setting 2nd of 3 configurations
Weights
Open 28th of 34 modelsthis setting 37th of 43 configurations
Consistency
± 7.2 more variable than most
Average Tokens
15.8k input + output
Time per Script
0.4 min average, retries included
Highest-Ranked in This LabCohere Command A+ (05-2026) (thinking on) ranks highest of the Cohere configurations by Writing Elo, with a Writing Score +4.0 against this configuration.
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.
Cohere Command A Reasoning (thinking on)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 151 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 · -26.0 vs median
board best 82.8 · Claude Opus 5.5 (max effort)48.1± 3.3 · 144thboard median 74.0
Writing Craft & Clarity ?13% weight · -24.9 vs median
board best 83.2 · Claude Opus 5.5 (xhigh)50.2± 4.6 · 145thboard median 75.0
Substance, Accuracy & Value ?15% weight · -25.7 vs median
board best 88.4 · Claude Opus 5.5 (xhigh)56.1± 4.2 · 142ndboard median 81.8
Continuity & Emotion ?14% weight · -21.4 vs median
board best 85.7 · Claude Opus 5.5 (max effort)56.1± 3.5 · 142ndboard median 77.5
YouTube Best Practices ?12% weight · -23.5 vs median
board best 84.5 · Claude Fable 5.2 (max effort)52.9± 5.0 · 142ndboard median 76.4
Hook Strength ?10% weight · -8.5 vs median
board best 84.0 · Claude Fable 5.2 (xhigh)71.1± 5.6 · 138thboard median 79.6
Length Adherence ?8% weight · -59.2 vs median
board best 99.0 · Claude Fable 5.2 (xhigh)25.6± 7.2 · 148thboard median 84.8
Slop Score ?5% weight · -18.5 vs median
board best 89.0 · GPT-6 Sol (medium)62.8± 4.6 · 143rdboard median 81.3
Visual Cue Quality ?4% weight · -20.7 vs median
board best 85.9 · Claude Opus 5.5 (max effort)54.1± 9.5 · 136thboard median 74.8
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
53.6
out of 100
143rd of 151 configurations on this script · board median 77.2
Script 2
news-analysis / skeptical explainer
60.8
out of 100
143rd of 151 configurations on this script · board median 78.4
Script 3
personal roadmap / opinion
53.9
out of 100
144th of 151 configurations on this script · board median 77.2
Script 4
short explainer
48.8
out of 100
145th of 151 configurations on this script · board median 75.7
Script 5
news-analysis / opinion explainer
51.8
out of 100
143rd of 151 configurations on this script · board median 78.0
Script 6
founder announcement / personal origin story
60.0
out of 100
144th of 151 configurations on this script · board median 79.2
Script 7
personal technical walkthrough / agentic workflow case study
45.0
out of 100
145th of 151 configurations on this script · board median 77.9
Script 8
product release announcement / personal observation
61.7
out of 100
144th of 151 configurations on this script · board median 79.0
Script 9
career guide / hiring analysis
51.0
out of 100
144th of 151 configurations on this script · board median 79.3
Script 10
engineering process walkthrough / presentation adaptation
40.6
out of 100
145th of 151 configurations on this script · board median 75.0
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.
Compared with the typical model, it varies most on Visual Cue Quality: ± 9.5 between drafts against ± 2.9, so two drafts of the same script can score quite differently there.
Consistency by Metric
Metric
This model
Board median
Verdict
Tone & Voice Match ?
48.1 ± 3.3
± 1.9
more variable than most
Writing Craft & Clarity ?
50.2 ± 4.6
± 1.5
more variable than most
Substance, Accuracy & Value ?
56.1 ± 4.2
± 2.1
more variable than most
Continuity & Emotion ?
56.1 ± 3.5
± 1.5
more variable than most
YouTube Best Practices ?
52.9 ± 5.0
± 2.4
more variable than most
Hook Strength ?
71.1 ± 5.6
± 2.7
more variable than most
Length Adherence ?
25.6 ± 7.2
± 6.6
typical
Slop Score ?
62.8 ± 4.6
± 1.6
more variable than most
Visual Cue Quality ?
54.1 ± 9.5
± 2.9
more variable than most
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 price of the route used, and this route served it free, so it is $0.
Time per Script
0.4 minfaster than the board median of 1.5 min
Prompt tokens in
13.9kstyle guide + brief + research packet
Tokens Out
1.9kscript + any reasoning tokens
Cost per Script
$0the route used served it free, so no per-token price applies
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 52.7 combines their scores with the parts computed in code (Length Adherence and half of the Slop Score). The highest and lowest judge are 21.3 points apart on its Writing Score. That is wider than the board median of 13.4: GLM 5.3 Flash rates it noticeably higher than Claude Opus 5.5 (medium), so the Writing Score sits between two different opinions. 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
41.3
-27.3 against its board average of 68.7
GLM 5.3 Flash
Z.ai
62.6
-20.2 against its board average of 82.9
GPT-6.1 Sol (medium)
OpenAI
50.0
-21.9 against its board average of 71.9
Jev 1.13
TypeSafe
56.9
-17.1 against its board average of 74.0
Evaluation Setup
How this exact configuration was run and judged: route, model ID, dates, sampling and prompt.
Exact model / route idcommand-a-reasoning-08-2025 (the request sets no level; the provider applies thinking on).
Generations5 independent runs × 10 scripts = 50 drafts, stored after generation and never edited.
Run dates2026-10-08.
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 Cohere Command A Reasoning (thinking on) at Writing?
Cohere Command A Reasoning ranks #79 of 87 models on ToneBench, and this is its only configuration on the board. This configuration is #143 of 151 configurations, in the bottom tenth of the board, with a Writing Elo of 215 and a Writing Score of 52.7/100. 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 Cohere Command A Reasoning (thinking on) the Best Cohere Model for Writing?
Not quite. Cohere Command A Reasoning is 2nd of 3 Cohere models. The top one is Cohere Command A+ (05-2026), through Cohere Command A+ (05-2026) (thinking on), about 148 Elo ahead of this setting.
Is Cohere Command A Reasoning (thinking on) Good Value for the Money?
It is free on the route used. No configuration is cheaper, but it sits in the bottom tenth of the board, so the low price does not make it a good pick for full scripts.
What Are the Strengths and Weaknesses of Cohere Command A Reasoning (thinking on)?
Its best-ranked metric is Visual Cue Quality (54.1, 136th of 151 configurations, -20.7 against the board median), and its lowest-ranked is Length Adherence (25.6, 148th of 151, -59.2). Its best-ranked metric still sits in the bottom half. The Scores by Metric section shows the board median and the board's best for each one.
How Was Cohere Command A Reasoning (thinking on) Evaluated?
It was run through the Cohere API, with the exact model/route ID command-a-reasoning-08-2025, first run on 2026-10-08. 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 Cohere Command A Reasoning (thinking on) Have Open Weights?
Yes. Its weights are public, so it can be downloaded and run on your own hardware. Check the license if you need open source in the strict sense. Among open-weight configurations it is 37th of 43 for writing.