Mistral Large by Mistral AI is available through 22 API providers on LMSpeed. Compare API pricing from $0.010 to $75.00 per million input tokens across providers. Context window: 262,144.
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Compare Mistral Large API pricing across 22 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 |
|---|---|---|---|---|---|---|
素墨API100% | mistral-large | — | $0.010 | $0.010 | — | — |
| mistralai/mistral-large | — | $0.010 | $0.010 | — | — | |
钱多多 API100% | mistral-large-2512 | — | $2.45 | $7.34 | — | — |
| mistral-large-2407 | — | $9.79 | $29.37 | — | — | |
| mistral-large-2411 | — | $9.79 | $29.37 | — | — | |
| mistral-large-latest | — | $9.79 | $29.37 | — | — | |
紫脑喵99.9% | mistral-large-latest | — | $3.00 | $9.00 | — | — |
IXIOCCAPI99.9% | mistral-large | — | $75.00 | $225.00 | — | — |
| mistral-large-2407 | — | $75.00 | $225.00 | — | — | |
| mistral-large-2411 | — | $75.00 | $225.00 | — | — | |
| mistral-large-latest | — | $75.00 | $225.00 | — | — | |
| mistralai/mistral-large | — | $75.00 | $75.00 | — | — | |
| mistralai/mistral-large-2407 | — | $75.00 | $75.00 | — | — | |
| mistralai/mistral-large-2411 | — | $75.00 | $75.00 | — | — | |
SWT-API98.2% | mistral-large | — | $0.037 | $0.113 | — | — |
MIX API93% | mistralai/mistral-large | — | $75.00 | $75.00 | — | — |
91VIP3% | mistral-large-2512 | — | $1.00 | $3.00 | — | — |
ChatST API99.9% | mistral-large-latest | — | $0.070 | $0.210 | — | — |
Synapse94.2% | mistral-large-2512 | — | $1.00 | $1.00 | — | — |
C85 API83% | mistralai/mistral-large | — | $75.00 | $75.00 | — | — |
Данные о ценах из публичных API провайдеров
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.
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.
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.
qwen3
Alibaba Qwen3 is the Qwen family's flagship LLM series with dense and MoE variants, seamless thinking/non-thinking modes, and leading open-source performance in math, code, and agent tasks.
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