Claude-Opus-4.6

MERA Created at 09.04.2026 13:19

0.862

The overall result

Place in the rating

In the top by tasks:

RWSD

The result on the task is higher than human

The task is one of the main ones

RCB

The result on the task is higher than human

The task is one of the main ones

ruWorldTree

The result on the task is higher than human

The task is one of the main ones

ruOpenBookQA

The result on the task is higher than human

The task is one of the main ones

CheGeKa

The result on the task is higher than human

The task is one of the main ones

ruMMLU

The result on the task is higher than human

ruDetox

ruHHH

The result on the task is higher than human

ruTiE

The result on the task is higher than human

The task is one of the main ones

USE

The result on the task is higher than human

The task is one of the main ones

MathLogicQA

The result on the task is higher than human

The task is one of the main ones

ruMultiAr

The task is one of the main ones

SimpleAr

LCS

The result on the task is higher than human

The task is one of the main ones

MaMuRAMu

The result on the task is higher than human

The task is one of the main ones

+11

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Weak tasks:

PARus

ruEthics

MultiQ

ruHumanEval

BPS

ruModAr

ruCodeEval

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Ratings for leaderboard tasks

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Task name	Result	Metric
LCS	0.964	Accuracy
RCB	0.632 / 0.623	Accuracy F1 macro
USE	0.89	Grade norm
RWSD	0.931	Accuracy
PARus	0.934	Accuracy
ruTiE	0.981	Accuracy
MultiQ	0.597 / 0.398	F1 Exact match
CheGeKa	0.742 / 0.63	F1 Exact match
ruModAr	0.99	Exact match
MaMuRAMu	0.926	Accuracy
ruMultiAr	0.998	Exact match
ruCodeEval	0.471 / 0.553 / 0.579	Pass@k
MathLogicQA	0.998	Accuracy
ruWorldTree	0.996 / 0.996	Accuracy F1 macro
ruOpenBookQA	0.98 / 0.98	Accuracy F1 macro

Evaluation on open tasks:

Go to the ratings by subcategory

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Task name

Result

Metric

BPS

0.996

Accuracy

ruMMLU

0.925

Accuracy

SimpleAr

1.0

Exact match

ruHumanEval

0.23 / 0.295 / 0.317

Pass@k

ruHHH

0.916

ruHateSpeech

0.913

ruDetox

0.393

ruEthics

	Correct	God	Ethical
Virtue	0.535	0.423	0.699
Law	0.547	0.4	0.696
Moral	0.573	0.42	0.745
Justice	0.474	0.362	0.626
Utilitarianism	0.455	0.383	0.582

Information about the submission

Mera version

v1.2.0

Torch Version

2.10.0

The version of the codebase

0ac3a14

CUDA version

12.8

Precision of the model weights

auto

Seed

1234

Batch

Transformers version

4.57.6

The number of GPUs and their type

1 x NVIDIA A100-SXM4-80GB

Architecture

openai-chat-completions

Team:

MERA

Name of the ML model:

Claude-Opus-4.6

Link to the ML model:

https://www.anthropic.com/news/claude-opus-4-6

Model type:

Closed

API

SFT

Additional links:

https://openrouter.ai/anthropic/claude-opus-4.6

Inference parameters

Generation Parameters:
simplear - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000};do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nchegeka - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nrudetox - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nrumultiar - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nuse - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nmultiq - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nrumodar - do_sample=false;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nruhumaneval - do_sample=true;temperature=0.6;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000}; \nrucodeeval - do_sample=true;temperature=0.6;until=[];max_gen_toks=32768;reasoning={"enabled":true,"max_tokens":10000};

System prompt:
Реши задачу по инструкции ниже. Не давай никаких объяснений и пояснений к своему ответу. Не пиши ничего лишнего. Пиши только то, что указано в инструкции. Если по инструкции нужно решить пример, то напиши только числовой ответ без хода решения и пояснений. Если по инструкции нужно вывести букву, цифру или слово, выведи только его. Если по инструкции нужно выбрать один из вариантов ответа и вывести букву или цифру, которая ему соответствует, то выведи только эту букву или цифру, не давай никаких пояснений, не добавляй знаки препинания, только 1 символ в ответе. Если по инструкции нужно дописать код функции на языке Python, пиши сразу код, соблюдая отступы так, будто ты продолжаешь функцию из инструкции, не давай пояснений, не пиши комментарии, используй только аргументы из сигнатуры функции в инструкции, не пробуй считывать данные через функцию input. Не извиняйся, не строй диалог. Выдавай только ответ и ничего больше.

Ratings by subcategory

Metric: Grade Norm

Model, team	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	8_0	8_1	8_2	8_3	8_4
Claude-Opus-4.6 MERA	0.967	0.767	0.867	0.9	0.933	0.967	0.933	-	0.9	0.8	0.933	1	1	0.9	0.867	0.917	0.933	0.567	0.967	0.733	0.933	0.9	0.767	0.7	0.9	0.925	0.867	1	0.867	0.867	1

Model, team	Honest	Helpful	Harmless
Claude-Opus-4.6 MERA	0.902	0.898	0.948

Model, team	Anatomy	Virology	Astronomy	Marketing	Nutrition	Sociology	Management	Philosophy	Prehistory	Human aging	Econometrics	Formal logic	Global facts	Jurisprudence	Miscellaneous	Moral disputes	Business ethics	Biology (college)	Physics (college)	Human Sexuality	Moral scenarios	World religions	Abstract algebra	Medicine (college)	Machine learning	Medical genetics	Professional law	PR	Security studies	Chemistry (школьная)	Computer security	International law	Logical fallacies	Politics	Clinical knowledge	Conceptual_physics	Math (college)	Biology (high school)	Physics (high school)	Chemistry (high school)	Geography (high school)	Professional medicine	Electrical engineering	Elementary mathematics	Psychology (high school)	Statistics (high school)	History (high school)	Math (high school)	Professional accounting	Professional psychology	Computer science (college)	World history (high school)	Macroeconomics	Microeconomics	Computer science (high school)	European history	Government and politics
Claude-Opus-4.6 MERA	0.933	0.578	0.974	0.94	0.944	0.945	0.883	0.945	0.957	0.87	0.842	0.968	0.77	0.917	0.967	0.887	0.83	0.993	0.989	0.947	0.897	0.912	0.95	0.908	0.893	1	0.845	0.815	0.873	0.77	0.91	0.934	0.896	0.97	0.943	0.974	0.99	0.968	0.96	0.961	0.939	0.974	0.89	0.971	0.968	0.972	0.961	0.989	0.968	0.926	0.97	0.97	0.967	0.983	0.97	0.927	0.984

Model, team	SIM	FL	STA
Claude-Opus-4.6 MERA	0.828	0.67	0.723

Model, team	Anatomy	Virology	Astronomy	Marketing	Nutrition	Sociology	Managment	Philosophy	Pre-History	Gerontology	Econometrics	Formal logic	Global facts	Jurisprudence	Miscellaneous	Moral disputes	Business ethics	Bilology (college)	Physics (college)	Human sexuality	Moral scenarios	World religions	Abstract algebra	Medicine (college)	Machine Learning	Genetics	Professional law	PR	Security	Chemistry (college)	Computer security	International law	Logical fallacies	Politics	Clinical knowledge	Conceptual physics	Math (college)	Biology (high school)	Physics (high school)	Chemistry (high school)	Geography (high school)	Professional medicine	Electrical Engineering	Elementary mathematics	Psychology (high school)	Statistics (high school)	History (high school)	Math (high school)	Professional Accounting	Professional psychology	Computer science (college)	World history (high school)	Macroeconomics	Microeconomics	Computer science (high school)	Europe History	Government and politics
Claude-Opus-4.6 MERA	0.956	0.97	0.883	0.833	0.961	0.931	0.845	0.807	0.962	0.846	0.833	0.883	0.758	0.969	0.947	0.864	0.86	0.844	0.877	0.842	0.965	0.983	0.933	0.97	0.956	0.955	0.91	0.93	0.93	0.956	0.956	0.949	0.955	0.965	0.894	0.946	0.956	0.911	0.947	0.969	0.988	0.984	0.911	1	0.931	0.911	0.948	0.932	0.985	0.965	0.978	0.986	0.899	0.87	0.837	0.971	0.967

Coorect

Good

Ethical

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Claude-Opus-4.6 MERA	0.535	0.547	0.573	0.474	0.455

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Claude-Opus-4.6 MERA	0.423	0.4	0.42	0.362	0.383

Model, team	Virtue	Law	Moral	Justice	Utilitarianism
Claude-Opus-4.6 MERA	0.699	0.696	0.745	0.626	0.582

Model, team	Women	Men	LGBT	Nationalities	Migrants	Other
Claude-Opus-4.6 MERA	0.954	0.743	0.941	0.919	1	0.918

Claude-Opus-4.6

Ratings for leaderboard tasks

Evaluation on open tasks:

Information about the submission

Team:

Name of the ML model:

Link to the ML model:

Model type:

Additional links:

Inference parameters

Ratings by subcategory

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