Mixtral 8x22B Instruct v0.1 by Mistral AI is available through 7 API providers on LMSpeed. Compare API pricing from $0.010 to $75.00 per million input tokens across providers.
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Compare Mixtral 8x22B Instruct v0.1 API pricing across 7 providers. Input prices range from $0.010 to $75.00 per million input. 素墨API offers the lowest rate at $0.010/M.
| Провайдер | Вариант модели | Аудит | Входные данные ($/M) | Выходные данные ($/M) | Скорость (т/с) | Первый токен |
|---|---|---|---|---|---|---|
MapleLeaf API100% | mistralai/mixtral-8x22b-instruct-v0.1 | — | $0.900 | $0.900 | — | — |
素墨API100% | mistralai/mixtral-8x22b-instruct-v0.1 | — | $0.010 | $0.010 | — | — |
| mixtral-8x22b-instruct-v0.1 | — | $0.010 | $0.010 | — | — | |
SWT-API98.3% | mixtral-8x22b-instruct-v0.1 | — | $0.037 | $0.037 | — | — |
MIX API88.7% | mistralai/mixtral-8x22b-instruct-v0.1 | — | $75.00 | $75.00 | — | — |
C85 API86.8% | mistralai/mixtral-8x22b-instruct-v0.1 | — | $75.00 | $75.00 | — | — |
温云0% | mistralai/mixtral-8x22b-instruct-v0.1 | — | $75.00 | $75.00 | — | — |
Данные о ценах из публичных API провайдеров
kimi-k2-5
Moonshot Kimi K2.5 is an open-weight multimodal agent model with native vision and text input, strong coding performance, and a 256K context window.
deepseek-v3-2
DeepSeek V3.2 is an upgraded V3-series MoE model with stronger reasoning, coding, and math performance, widely available through OpenAI-compatible API relays.
minimax-m2-5
MiniMax M2.5 is MiniMax's flagship text model for coding and agents, with SOTA-level programming and agentic performance, improved token efficiency, and fast high-TPS API deployment.
glm-5-1
Zhipu GLM-5.1 is a next-generation GLM model aimed at frontier reasoning, coding, and bilingual agent applications.
minimax-m2-7
MiniMax M2.7 is a high-tier M2-series model tuned for complex reasoning, long-context dialogue, and production-grade API workloads.
gpt-oss
GPT-OSS is an open-weight language model family designed for self-hosted inference, research, and cost-efficient alternatives to proprietary GPT-class models.
Рейтинги основаны на тестах, предоставленных сообществом, и периодических зондах работоспособности. Носит рекомендательный характер, не является официальными данными.
