Choose a model to open its comparison page.
Meta Llama 3.1 Instruct Turbo API pricing covers 7 API providers, from $0.073/M to $75.00/M.
Meta Llama 3.1 Instruct Turbo is a fast hosted variant of Llama 3.1 for multilingual chat, tool use, and cost-efficient open-model deployments.
Compare Meta Llama 3.1 Instruct Turbo API pricing across 7 providers. Prices range from $0.073/M to $75.00/M. 钱多多 API offers the lowest rate at $0.073/M.
| Provider | Health | Model Variant | Group | Input ($/M) | Output ($/M) | Speed (t/s) | First token | Audit |
|---|---|---|---|---|---|---|---|---|
L1 100% | meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo | default | $0.073/M | $0.098/M | — | — | — | |
L1 100% | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | default | $0.490/M | $1.37/M | — | — | — | |
L1 100% | Meta-Llama-3-1-8B-Instruct-Turbo | default | $75.00/M | $75.00/M | — | — | — | |
L1 100% | meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo | default | $75.00/M | $75.00/M | — | — | — | |
L1 100% | klusterai/Meta-Llama-3.1-8B-Instruct-Turbo | default | $75.00/M | $75.00/M | — | — | — |
gemini-2-5-pro
Google Gemini 2.5 Pro is Google advanced multimodal model with a 1M-token context window, strong STEM reasoning, and native support for images, audio, and video understanding.
gemini-2-5-flash
Google Gemini 2.5 Flash is a fast multimodal model balancing speed and intelligence for chat, tool use, and large-context workloads at lower cost than Pro tiers.
deepseek-v3
DeepSeek V3 is DeepSeek flagship MoE language model with 671B total parameters, delivering strong performance in reasoning, coding, and multilingual tasks at competitive inference cost.
gpt-5
OpenAI GPT-5 is OpenAI frontier general-purpose model with improved reasoning depth, coding reliability, and multimodal understanding for production assistants and agent workflows.
deepseek-r1
DeepSeek R1 is a reasoning-focused language model in the DeepSeek series, designed for complex reasoning, problem-solving, and analytical tasks.
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.
