Model Comparison
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.
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.
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.
Every ranked configuration of MiMo-V2.6-Pro and GPT-5.6 Luna, scored on the same 10 scripts by the same four judges.
Shaded rows are the configurations chosen for the metric comparison below.
| Configuration | Writing Elo | 95% Range | Writing Score | Cost / Script | Time / Script | Reasoning Tokens | Configuration Rank |
|---|---|---|---|---|---|---|---|
| MiMo-V2.6-Pro (thinking on) | 1953 | 1905 to 1997 | 80.2 | $0.017 | 6.2 min | 10,176 | #39 |
| GPT-5.6 Luna (ultra) | 1812 | 1768 to 1858 | 78.8 | $0.026 | 3.1 min | N/A | #49 |
| GPT-5.6 Luna (medium) | 1609 | 1572 to 1647 | 76.7 | $0.0065 | 0.5 min | N/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.
Each finding is computed from the configurations above. Where two 95% ranges overlap, the board cannot order those two configurations.
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.
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.
| MiMo-V2.6-Pro (thinking on) | GPT-5.6 Luna (ultra) | |
|---|---|---|
| Score spread across drafts (±) | 1.87 | 2.07 |
| Lowest script score | 78.0 Script 4 | 76.0 Script 7 |
| Highest script score | 82.5 Script 9 | 80.8 Script 9 |
| Range across scripts | 4.5 | 4.8 |
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.
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.
| Script | MiMo-V2.6-Pro (thinking on) | GPT-5.6 Luna (ultra) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 79.3 | 78.5 | +0.8 |
| Script 2 news-analysis / skeptical explainer | 79.9 | 80.3 | -0.4 |
| Script 3 personal roadmap / opinion | 79.7 | 79.7 | 0.0 |
| Script 4 short explainer | 78.0 | 77.4 | +0.6 |
| Script 5 news-analysis / opinion explainer | 81.5 | 79.7 | +1.8 |
| Script 6 founder announcement / personal origin story | 81.1 | 80.6 | +0.5 |
| Script 7 personal technical walkthrough / agentic workflow case study | 80.3 | 76.0 | +4.3 |
| Script 8 product release announcement / personal observation | 80.7 | 78.4 | +2.3 |
| Script 9 career guide / hiring analysis | 82.5 | 80.8 | +1.7 |
| Script 10 engineering process walkthrough / presentation adaptation | 79.4 | 76.9 | +2.5 |
Each configuration name in the table above opens its own scorecard.
Pick a second model. A pair with its own written match-up opens that page, and any other pair opens in the comparison tool.
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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