mimo-v2.6-flash / 채팅
Efficient omni-modal model (309B total, 15B activated) with hybrid attention and 1M context. Outperforms previous MiMo-V2.5-Pro across benchmarks; DeepSWE v1.1 score improved to 65.68 via scaled RL training. Optimized for agentic workflows, coding, and visual tasks
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이 모델의 실제 요금은 API 요청에서 전달된 특정 매개변수를 기반으로 동적으로 계산됩니다. 아래는 구체적인 조합과 해당 가격입니다:
| 모달리티 | 입력 크레딧 | 출력 크레딧 | 입력 가격 | 출력 가격 | 암시적 캐시 적중 | 명시적 캐시 적중 | 캐시 생성 |
|---|---|---|---|---|---|---|---|
| Standard | 140/ 1M Tokens | 280/ 1M Tokens | $0.140 | $0.280 | $0.003 3/ 1M Tokens | $0.003 3/ 1M Tokens | -- |
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