툴팁 제목
툴팁 내용
LLM 모델 순위
모델 변형별 순위
모델별 순위
저자별 순위
카테고리별 순위
인기 급상승 모델
효율성 순위
생각 비율 순위
일간 사용량 그래프
카테고리 사용 비율
카테고리별 모델 분포
모든 카테고리 상위 모델
앱 랭킹
카테고리별 앱 랭킹
제작사 순위
일간 모델 순위 (variant_permaslug 기준) (총 토큰 기준) TOP 10
순위 | 모델명 | 총 토큰 | 입력 토큰 | 변화율 |
---|---|---|---|---|
1 | anthropic/claude-3-7-sonnet-20250219 | 49,375,633,196 | 48,397,294,446 | ↑ 57% |
2 | google/gemini-2.0-flash-001 | 39,722,200,310 | 36,037,701,852 | ↑ 41% |
3 | google/gemini-2.5-flash-preview-04-17 | 20,726,265,330 | 19,702,833,486 | ↑ 35% |
4 | deepseek/deepseek-chat-v3-0324:free | 20,412,775,511 | 19,764,177,223 | ↑ 43% |
5 | google/gemini-2.5-pro-exp-03-25 | 14,871,200,727 | 14,377,722,007 | ↑ 32% |
6 | google/gemini-2.5-pro-preview-03-25 | 14,357,676,706 | 12,717,441,066 | ↑ 44% |
7 | deepseek/deepseek-chat-v3-0324 | 9,993,833,041 | 9,322,370,820 | ↑ 36% |
8 | meta-llama/llama-3.3-70b-instruct | 9,760,135,167 | 8,262,593,311 | ↓ 18% |
9 | deepseek/deepseek-r1:free | 8,941,823,737 | 7,778,946,984 | ↑ 39% |
10 | anthropic/claude-3-7-sonnet-20250219:thinking | 8,018,550,849 | 7,665,150,195 | ↑ 60% |
디버그 정보
Array ( [0] => Array ( [rank] => 1 [name] => anthropic/claude-3-7-sonnet-20250219 [author] => anthropic [total_tokens] => 49375633196 [prompt_tokens] => 48397294446 [reasoning_tokens] => 8323983 [change] => 57 ) [1] => Array ( [rank] => 2 [name] => google/gemini-2.0-flash-001 [author] => google [total_tokens] => 39722200310 [prompt_tokens] => 36037701852 [reasoning_tokens] => 8190 [change] => 41 ) [2] => Array ( [rank] => 3 [name] => google/gemini-2.5-flash-preview-04-17 [author] => google [total_tokens] => 20726265330 [prompt_tokens] => 19702833486 [reasoning_tokens] => 14270834 [change] => 35 ) [3] => Array ( [rank] => 4 [name] => deepseek/deepseek-chat-v3-0324:free [author] => deepseek [total_tokens] => 20412775511 [prompt_tokens] => 19764177223 [reasoning_tokens] => 0 [change] => 43 ) [4] => Array ( [rank] => 5 [name] => google/gemini-2.5-pro-exp-03-25 [author] => google [total_tokens] => 14871200727 [prompt_tokens] => 14377722007 [reasoning_tokens] => 324966074 [change] => 32 ) [5] => Array ( [rank] => 6 [name] => google/gemini-2.5-pro-preview-03-25 [author] => google [total_tokens] => 14357676706 [prompt_tokens] => 12717441066 [reasoning_tokens] => 1309920649 [change] => 44 ) [6] => Array ( [rank] => 7 [name] => deepseek/deepseek-chat-v3-0324 [author] => deepseek [total_tokens] => 9993833041 [prompt_tokens] => 9322370820 [reasoning_tokens] => 0 [change] => 36 ) [7] => Array ( [rank] => 8 [name] => meta-llama/llama-3.3-70b-instruct [author] => meta-llama [total_tokens] => 9760135167 [prompt_tokens] => 8262593311 [reasoning_tokens] => 0 [change] => -18 ) [8] => Array ( [rank] => 9 [name] => deepseek/deepseek-r1:free [author] => deepseek [total_tokens] => 8941823737 [prompt_tokens] => 7778946984 [reasoning_tokens] => 411165543 [change] => 39 ) [9] => Array ( [rank] => 10 [name] => anthropic/claude-3-7-sonnet-20250219:thinking [author] => anthropic [total_tokens] => 8018550849 [prompt_tokens] => 7665150195 [reasoning_tokens] => 101403066 [change] => 60 ) )
실행된 SQL 쿼리
SELECT current_stats.permaslug, current_stats.author, current_stats.total_tokens, current_stats.prompt_tokens, current_stats.reasoning_tokens, prev_stats.prev_total_tokens, prev_stats.prev_prompt_tokens FROM ( SELECT ds.variant_permaslug as permaslug, (SELECT author FROM release_llm_daily_stats WHERE variant_permaslug = ds.variant_permaslug LIMIT 1) as author, SUM(ds.total_prompt_tokens + ds.total_completion_tokens + ds.total_native_tokens_reasoning) as total_tokens, SUM(ds.total_prompt_tokens) as prompt_tokens, SUM(ds.total_completion_tokens) as completion_tokens, SUM(ds.total_native_tokens_reasoning) as reasoning_tokens FROM release_llm_daily_stats ds WHERE ds.date >= DATE_SUB('2025-04-28', INTERVAL 1 DAY) AND ds.date <= '2025-04-28' GROUP BY ds.variant_permaslug /* ORDER BY total_tokens DESC -- 서브쿼리 내 정렬은 외부에서 LIMIT과 함께 처리 */ /* LIMIT 10 -- 서브쿼리에서 LIMIT 제거 */ ) AS current_stats LEFT JOIN ( SELECT ds_prev.variant_permaslug, SUM(ds_prev.total_prompt_tokens + ds_prev.total_completion_tokens + ds_prev.total_native_tokens_reasoning) as prev_total_tokens, SUM(ds_prev.total_prompt_tokens) as prev_prompt_tokens FROM release_llm_daily_stats ds_prev WHERE ds_prev.date >= DATE_SUB('2025-04-28', INTERVAL 2 DAY) AND ds_prev.date < DATE_SUB('2025-04-28', INTERVAL 1 DAY) GROUP BY ds_prev.variant_permaslug ) AS prev_stats ON current_stats.permaslug = prev_stats.variant_permaslug ORDER BY total_tokens DESC LIMIT 10