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Model Comparison

MiMo-V2.6-Pro vs GPT-5.6 Luna

MiMo-V2.6-Pro (thinking on) leads GPT-5.6 Luna (ultra) by 141 Elo, and their 95% ranges sit 47 Elo apart. Among 78 models, each ranked by its best configuration, MiMo-V2.6-Pro is #20 and GPT-5.6 Luna is #24. Cost per script: $0.017 for MiMo-V2.6-Pro (thinking on) and $0.026 for GPT-5.6 Luna (ultra).

Last updated , from board data generated at 01:13 UTC.

MiMo-V2.6-Pro
1953 Writing Elo of MiMo-V2.6-Pro (thinking on), its best configuration#20 of 78 models · 80.2/100 Writing Score · $0.017 per script1 configuration on the board
GPT-5.6 Luna
1812 Writing Elo of GPT-5.6 Luna (ultra), its best configuration#24 of 78 models · 78.8/100 Writing Score · $0.026 per script2 configurations on the board

Picks and Verdict

PickMiMo-V2.6-Pro

MiMo-V2.6-Pro (thinking on)

Pick MiMo-V2.6-Pro (thinking on) for cheap drafts that already carry the voice, at $0.017 a script.

PickGPT-5.6 Luna

GPT-5.6 Luna (ultra)

Pick GPT-5.6 Luna (ultra) when substance and the hook matter more than voice, at $0.026 a script and about three minutes.

At $0.017 and $0.026 a script, the best settings of these two sit under a cent apart, so the choice comes down to the writing, and the board puts MiMo-V2.6-Pro ahead. It is the #20 model of 78 and GPT-5.6 Luna the #24 model, each ranked by its best setting. MiMo-V2.6-Pro (thinking on) and GPT-5.6 Luna (ultra) are 141 Elo apart with separate 95% ranges, which is strong evidence for that order. MiMo's lead is voice: more than six points on Tone & Voice Match, plus better YouTube structure. Luna's draft has more in it, four points ahead on Substance, Accuracy & Value with a stronger hook, and it finishes in about half the time. Luna's thinking level matters a lot. GPT-5.6 Luna (medium) is the cheapest setting here at $0.0065, but it falls 344 Elo below MiMo and lands well off the target length. Ultra adds 203 Elo for four times the price, which still comes to under three cents. I'd use MiMo when I want a draft that already sounds like me, and Luna at ultra when I'd rather start from the facts and fix the voice.

Disclosure: GPT-5.6 Luna comes from the same lab as one of the four judges, GPT-6.1 Sol. The other three sit outside its lab, so it is never scored by its own lab alone (how the panel works). The judge analysis measures how much each judge favors its own lab.

How to Read the Writing Score, Writing Elo and 95% Ranges

Writing Score and Writing Elo. The Writing Score (0 to 100) is the weighted average of the nine metric scores: seven from the judges, Length Adherence from code and the Slop Score half from each. The Writing Elo is a rating from pairwise comparisons: on each script, each configuration's average across its drafts is compared with every other configuration's, and gaps within the draft-to-draft variation count as draws. Elo rewards winning often, so the two can put configurations in a different order.

Elo ranges. Each 95% range shows how far a configuration's Elo could move if the drafts had come out slightly differently. It comes from resampling every configuration's recorded draft scores on each reference script and ranking again. Comparing two separate ranges does not test the Elo gap between them: ranges far apart are strong evidence for the order, and overlapping ranges do not mean a tie. The reference scripts stay fixed, so the ranges say nothing about new scripts. The methodology page has the full description.

All Thinking Levels of Both Models

Every ranked configuration of MiMo-V2.6-Pro and GPT-5.6 Luna, scored on the same 10 scripts by the same four judges.

How to Read the Chart
  • Each row is one configuration: the model at one thinking level. The dot is its Writing Elo, a rating from pairwise comparisons of the scores on each script, and the bar is its 95% range: how far that Elo could move if the drafts had come out slightly differently.
  • When two bars overlap, the board cannot order those two configurations. Bars far apart are strong evidence for the order.
  • The table under the chart lists the same configurations in the same order and adds the Writing Score (the 0 to 100 consensus of the judges and code), cost, time and configuration rank (the place among all configurations on the board).
MiMo-V2.6-ProGPT-5.6 Luna
ConfigurationWriting Elo95% RangeWriting ScoreCost / ScriptTime / ScriptReasoning TokensConfiguration Rank
MiMo-V2.6-Pro (thinking on)19531905 to 199780.2$0.0176.2 min10,176#39
GPT-5.6 Luna (ultra)18121768 to 185878.8$0.0263.1 minN/A#49
GPT-5.6 Luna (medium)16091572 to 164776.7$0.00650.5 minN/A#66

Cost is one script at the API list price of the route used, uncached and without judging. Time is the average for one accepted script, retries included. N/A under Reasoning Tokens means the board has no separate reasoning count for that route.

Computed Findings Across Thinking Levels

Each finding is computed from the configurations above. Where two 95% ranges overlap, the board cannot order those two configurations.

Two Chosen Configurations Compared

Pick one configuration of each model to compare their metric scores, consistency across drafts and per-script scores. Each menu starts on the model's best configuration.

Scores by Metric

MiMo-V2.6-Pro (thinking on)GPT-5.6 Luna (ultra)Solid bar: higher score in that row

MiMo-V2.6-Pro (thinking on) scores higher on four of the nine metrics and GPT-5.6 Luna (ultra) on five. Weighted by each metric's share of the Writing Score, Tone & Voice Match does the most to put MiMo-V2.6-Pro (thinking on) ahead, with a 6.1-point lead on that metric. The weight beside each metric is its share of the Writing Score.

Tone & Voice Match19% weight
78.0
71.9
Writing Craft & Clarity13% weight
77.8
74.7
Substance, Accuracy & Value15% weight
80.9
84.8
Continuity & Emotion14% weight
79.8
77.2
YouTube Best Practices12% weight
78.8
76.6
Hook Strength10% weight
79.7
80.6
Length Adherence8% weight
90.9
91.8
Slop Score5% weight
83.3
83.9
Visual Cue Quality4% weight
78.3
78.4

Consistency Across Drafts

MiMo-V2.6-Pro (thinking on)GPT-5.6 Luna (ultra)
Score spread across drafts (±)1.872.07
Lowest script score78.0 Script 476.0 Script 7
Highest script score82.5 Script 980.8 Script 9
Range across scripts4.54.8

Spread is how much the Writing Score moves between a configuration's drafts, and lower is steadier. Green marks the better number in each row.

Scores by Script

Writing Score on each reference script. Gap is MiMo-V2.6-Pro (thinking on) minus GPT-5.6 Luna (ultra), and the higher score is in bold.

ScriptMiMo-V2.6-Pro (thinking on)GPT-5.6 Luna (ultra)Gap
Script 1 opinion / warning explainer79.378.5+0.8
Script 2 news-analysis / skeptical explainer79.980.3-0.4
Script 3 personal roadmap / opinion79.779.70.0
Script 4 short explainer78.077.4+0.6
Script 5 news-analysis / opinion explainer81.579.7+1.8
Script 6 founder announcement / personal origin story81.180.6+0.5
Script 7 personal technical walkthrough / agentic workflow case study80.376.0+4.3
Script 8 product release announcement / personal observation80.778.4+2.3
Script 9 career guide / hiring analysis82.580.8+1.7
Script 10 engineering process walkthrough / presentation adaptation79.476.9+2.5

Compare With Another Model

Pick a second model. A pair with its own written match-up opens that page, and any other pair opens in the comparison tool.

Nearby Match-Ups by Best Writing Elo

Every configuration wrote five drafts for each of the same 10 briefs, from the same prompt. Generation was closed-book, with the prompt as the only source and no web search or other tools. Each judge scores every draft once: Claude 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, a typed judge from TypeSafe that answers each metric as a multiple-choice question. The channel's finished script is their reference for the voice, and it gets no score on the board itself.

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