Model Comparison
GPT-5.6 Terra (ultra) leads MiMo-V2.6-Flash (thinking on) by 87 Elo, and their 95% ranges sit 1 Elo apart. Among 78 models, each ranked by its best configuration, GPT-5.6 Terra is #13 and MiMo-V2.6-Flash is #18. Cost per script: $0.275 for GPT-5.6 Terra (ultra) and $0.0057 for MiMo-V2.6-Flash (thinking on).
Last updated , from board data generated at 01:13 UTC.
PickGPT-5.6 Terra
GPT-5.6 Terra (medium)
Pick GPT-5.6 Terra (medium) when you need a draft fast, at 1.4 minutes and $0.062, because the board can't separate ultra from it.
PickMiMo-V2.6-Flash
MiMo-V2.6-Flash (thinking on)
Pick MiMo-V2.6-Flash (thinking on) for everyday drafting, since its range overlaps GPT-5.6 Terra (medium) and a script costs $0.0057.
Eleven Elo points separate MiMo-V2.6-Flash (thinking on) from GPT-5.6 Terra (medium), and one of them costs about eleven times as much. Their 95% ranges overlap, so the board cannot put those two in order. GPT-5.6 Terra is the #13 model of 78 and MiMo-V2.6-Flash the #18 model, each ranked by its best setting, and that order comes from GPT-5.6 Terra (ultra): it leads MiMo by 87 Elo, with ranges that sit one point apart. Ultra also costs about 48 times what MiMo does and adds more than six minutes over medium, for 76 Elo the board can't confirm against medium. So I'd keep it for scripts where the facts carry the video. MiMo costs $0.0057 a script, and its catch is time. At 3.5 minutes it takes more than twice as long as Terra at medium. Their strengths differ too. Terra at ultra carries more substance, five points up, while MiMo writes the better hook and scores a little higher on craft. For everyday drafts I'd use MiMo and switch to Terra at medium when I need the script back in under two minutes.
Disclosure: GPT-5.6 Terra 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 GPT-5.6 Terra and MiMo-V2.6-Flash, 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 |
|---|---|---|---|---|---|---|---|
| GPT-5.6 Terra (ultra) | 2074 | 2035 to 2113 | 81.4 | $0.275 | 8.0 min | N/A | #25 |
| GPT-5.6 Terra (medium) | 1998 | 1952 to 2041 | 80.7 | $0.062 | 1.4 min | N/A | #33 |
| MiMo-V2.6-Flash (thinking on) | 1987 | 1929 to 2034 | 80.4 | $0.0057 | 3.5 min | 11,025 | #35 |
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.
GPT-5.6 Terra (ultra) scores higher on five of the nine metrics and MiMo-V2.6-Flash (thinking on) on three, with one tie. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-5.6 Terra (ultra) ahead, with a 5.4-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-5.6 Terra (ultra) | MiMo-V2.6-Flash (thinking on) | |
|---|---|---|
| Score spread across drafts (±) | 1.38 | 1.86 |
| Lowest script score | 79.8 Script 4 | 78.9 Script 1 |
| Highest script score | 83.0 Script 6 | 81.9 Script 5 |
| Range across scripts | 3.2 | 3.0 |
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 GPT-5.6 Terra (ultra) minus MiMo-V2.6-Flash (thinking on), and the higher score is in bold.
| Script | GPT-5.6 Terra (ultra) | MiMo-V2.6-Flash (thinking on) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 81.1 | 78.9 | +2.2 |
| Script 2 news-analysis / skeptical explainer | 82.1 | 80.3 | +1.8 |
| Script 3 personal roadmap / opinion | 82.5 | 79.4 | +3.1 |
| Script 4 short explainer | 79.8 | 79.4 | +0.4 |
| Script 5 news-analysis / opinion explainer | 82.2 | 81.9 | +0.3 |
| Script 6 founder announcement / personal origin story | 83.0 | 81.4 | +1.6 |
| Script 7 personal technical walkthrough / agentic workflow case study | 80.6 | 79.9 | +0.7 |
| Script 8 product release announcement / personal observation | 80.3 | 81.4 | -1.1 |
| Script 9 career guide / hiring analysis | 81.8 | 81.9 | -0.1 |
| Script 10 engineering process walkthrough / presentation adaptation | 80.6 | 79.7 | +0.9 |
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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