Model Comparison
GPT-5.6 Sol (low) leads MiMo-V2.6-Pro (thinking on) by 265 Elo, and their 95% ranges sit 184 Elo apart. Even GPT-5.6 Sol's lowest-rated configuration, GPT-5.6 Sol (ultra), ranks above MiMo-V2.6-Pro (thinking on). Among 78 models, each ranked by its best configuration, GPT-5.6 Sol is #8 and MiMo-V2.6-Pro is #20. Cost per script: $0.113 for GPT-5.6 Sol (low) and $0.017 for MiMo-V2.6-Pro (thinking on).
Last updated , from board data generated at 01:13 UTC.
PickGPT-5.6 Sol
GPT-5.6 Sol (low)
Pick GPT-5.6 Sol (low) as the default, since it stays 265 Elo clear of MiMo-V2.6-Pro at $0.113 a script.
PickMiMo-V2.6-Pro
MiMo-V2.6-Pro (thinking on)
Pick MiMo-V2.6-Pro (thinking on) when budget rules, since it costs $0.017 a script and stays within a point of GPT-5.6 Sol (low) on tone.
MiMo-V2.6-Pro (thinking on) writes a script for $0.017, and GPT-5.6 Sol (low) charges $0.113, more than six times that. For the difference, Sol at low sits 265 Elo higher with 95% ranges that don't touch. GPT-5.6 Sol is the #8 model of 78 and MiMo-V2.6-Pro the #20 model, each ranked by its best setting. Most of the gap is content: Sol leads by about six points on substance and four on hooks. I wouldn't pay for ultra on top of that. GPT-5.6 Sol (ultra) rates 5 Elo below low, the board can't separate the two, and it costs more than three times as much. MiMo's case is price. On tone it stays within a point of Sol at low, and it lands a little closer to the requested length. It is slow, though, at about six minutes a script against about a minute for Sol at low, and with one setting on the board there's no faster level to try. For me, that Elo gap is worth about a dime a script. GPT-5.6 Sol at low is my default here.
Disclosure: GPT-5.6 Sol 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 Sol and MiMo-V2.6-Pro, 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 Sol (low) | 2218 | 2181 to 2251 | 82.3 | $0.113 | 0.9 min | N/A | #16 |
| GPT-5.6 Sol (ultra) | 2213 | 2173 to 2266 | 82.3 | $0.367 | 4.1 min | N/A | #18 |
| MiMo-V2.6-Pro (thinking on) | 1953 | 1905 to 1997 | 80.2 | $0.017 | 6.2 min | 10,176 | #39 |
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 Sol (low) scores higher on eight of the nine metrics and MiMo-V2.6-Pro (thinking on) on one. Weighted by each metric's share of the Writing Score, Substance, Accuracy & Value does the most to put GPT-5.6 Sol (low) ahead, with a 6.2-point lead on that metric. The weight beside each metric is its share of the Writing Score.
| GPT-5.6 Sol (low) | MiMo-V2.6-Pro (thinking on) | |
|---|---|---|
| Score spread across drafts (±) | 1.27 | 1.87 |
| Lowest script score | 79.8 Script 4 | 78.0 Script 4 |
| Highest script score | 84.2 Script 9 | 82.5 Script 9 |
| Range across scripts | 4.4 | 4.5 |
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 Sol (low) minus MiMo-V2.6-Pro (thinking on), and the higher score is in bold.
| Script | GPT-5.6 Sol (low) | MiMo-V2.6-Pro (thinking on) | Gap |
|---|---|---|---|
| Script 1 opinion / warning explainer | 82.1 | 79.3 | +2.8 |
| Script 2 news-analysis / skeptical explainer | 82.5 | 79.9 | +2.6 |
| Script 3 personal roadmap / opinion | 82.3 | 79.7 | +2.6 |
| Script 4 short explainer | 79.8 | 78.0 | +1.8 |
| Script 5 news-analysis / opinion explainer | 83.2 | 81.5 | +1.7 |
| Script 6 founder announcement / personal origin story | 82.8 | 81.1 | +1.7 |
| Script 7 personal technical walkthrough / agentic workflow case study | 82.0 | 80.3 | +1.7 |
| Script 8 product release announcement / personal observation | 82.6 | 80.7 | +1.9 |
| Script 9 career guide / hiring analysis | 84.2 | 82.5 | +1.7 |
| Script 10 engineering process walkthrough / presentation adaptation | 82.0 | 79.4 | +2.6 |
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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