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Каталог моделей

Цены моделей значительно ниже курса доллара, рассчитываются по курсу пополнения

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381 моделей

deepseek-v4.1-flash

$0.5/M · $2/M

DeepSeek V4.1 Flash is a 552B-parameter MoE model featuring a novel Causal-Encoder-Decoder architecture with asymmetric inputs and outputs. With an input activation of only 8B and an output activation of 16B, its cost is significantly lower than existing models of the same size.

По объёмуПиковая/непиковая
1M

deepseek-v4.1-flash-1017

$0.5/M · $2/M
По объёмуПиковая/непиковая
1M

gemini-4-argon

+1
$0.8/M · $4/M

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

По объёму
100K

claude-haiku-5-5

$0.1/M · $0.5/M

Fast Claude model for responsive assistance, classification, and lightweight agents

По объёмуСтупенчатая
1M

gemini-nano-banana-2.1

+2
$2.25/M · $30/M

Gemini Nano Banana 2.1 is Google's efficient image generation and conversational intelligent photo editing model.

По объёму
131K

gpt-6.1-sol

$2/M · $10/M

GPT-6.1 Sol delivers near-Astra performance at a lower cost for complex coding, computer use, and professional work. Compare it with Astra on your tasks to assess the tradeoff between quality and cost.

По объёмуСтупенчатая
1M

claude-sonnet-5-5

$0.7/M · $3.5/M

Claude Sonnet 5.5 offers the best combination of speed and intelligence, but it introduces some breaking changes in parameter passing.

По объёму
1M

claude-opus-5-5

$1.4/M · $7/M

Claude Opus 5.5 is built for long-running agentic coding and knowledge work

По объёму
1M

gpt-6-luna

$0.1/M · $0.5/M

GPT-6 Luna is OpenAI's most responsive and efficient model designed for high-intensity tasks.

По объёмуСтупенчатая
1M

gpt-6-sol

$2/M · $10/M

GPT-6 Sol is built for complex coding and agentic workflows.

По объёмуСтупенчатая
1M

grok-4.7

$4/M · $12/M

Grok 4.7 is x.ai's next-generation flagship model: agentic tool calling, minimal hallucinations, and configurable reasoning.

По объёмуСтупенчатая
500K

doubao-seed-2-1-lite-260915

$0.4/M · $1.35/M

A next-generation omni-modal large model with native upport for unified understanding across text, vision and audio.

По объёму
1M

doubao-seed-2-1-pro-260915

$3/M · $15/M

A next-generation large model advancing toward production-grade intelligence, featuring comprehensive upgrades in coding, agent, and multimodal capabilities.

По объёму
1M

gpt-6-astra

$10/M · $50/M

GPT-6 Astra excels at executing multi-step workflows across code, browsers, and professional software. In multiple evaluations, Astra achieved stronger results while using significantly fewer output tokens—and despite its higher per-token pricing, its estimated API cost per task was lower than that of earlier models.

По объёмуСтупенчатая
1M

gemini-3.8-flash

+3
$0.3/M · $1.5/M

Gemini 3.8 Flash is engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows—all with the speed and cost efficiency of Flash.

По объёму
1M

claude-fable-5-1

$3.5/M · $17.5/M

Claude Fable 5.1 costs just one-quarter as much to read from the cache as Claude Fable 5, while delivering stronger capabilities for long-running agentic coding, multi-step research, and working with documents, spreadsheets, and presentations.

По объёму
1M

glm-5.3-flash

$0.4/M · $1.4/M

GLM-5.3-Flash is a native multimodal model, with certain capabilities on par with Claude Opus 4.8.

По объёму
1M

qwen3.8-flash

$0.32/M · $1.08/M

Qwen3.8-Flash combines powerful understanding and generation capabilities with exceptional response speed, enabling it to process ultra-long documents, code repositories, and complex conversations in a single pass.

По объёму
1M

glm-5.3

$4/M · $14/M

GLM-5.3 improves the coding experience by 50%, with select cybersecurity capabilities on par with Mythos 5.

По объёму
1M

deepseek-v4-pro

$2.25/M · $6.75/M

The most notable change in V4 is that a million-token ultra-long context window has become standard across all official services, along with deep optimization for various agent tools.

По объёмуПиковая/непиковая
1M

deepseek-v4-pro-0813

$2.25/M · $6.75/M

The most notable change in V4 is that million-word-long context has become standard across all official services, with deep optimization for various agent tools.

По объёмуПиковая/непиковая
1M

gemini-3.7-flash

+3
$0.3/M · $1.5/M

Gemini 3.7 Flash is the next iteration in the Gemini 3 series of highly-capable, natively multimodal, reasoning models.

По объёму
1M

grok-4.6

$4/M · $12/M

Grok 4.6 builds on Grok 4.5 with a particular focus on long-running agents and more ambitious interactive and visual work. It stays with complex tasks across many steps, whether researching a topic, analyzing information, working across a codebase, or turning an idea into a polished application or work artifact.

По объёмуСтупенчатая
500K

qwen3.8-max

$4.8/M · $14.4/M

The 24-trillion-parameter MoE flagship model demonstrates a comprehensive leap in programming and office capabilities, capable of independently completing full projects through autonomous programming within a matter of days.

По объёму
1M

deepseek-v4-flash

$0.5/M · $1/M

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

По объёмуПиковая/непиковаяУстарела
1M

deepseek-v4-flash-0731

$0.5/M · $1/M

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

По объёмуПиковая/непиковаяУстарела
1M

claude-opus-5

$1.75/M · $8.75/M

Opus 5 is designed to be used every day: it works more efficiently than other models. It’s the new default model on Claude Max, and the strongest model on Claude Pro.[Check out the official intro](https://www.anthropic.com/news/claude-opus-5)

По объёму
1M

gemini-3.5-flash-lite

+1
$0.12/M · $1/M

Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model specifically optimized for high-throughput, low-cost sub-agent tasks and document parsing.

По объёму
1M

gemini-3.6-flash

+3
$0.3/M · $1.5/M

Gemini 3.6 Flash is faster and more cost-effective. It's designed for the era of intelligent agents, excelling in code generation, agent execution, and spatial reasoning. This model is particularly well-suited for agent tasks that require frequent and complex programming loops and iterations, delivering outstanding efficiency.

По объёму
1M

kimi-k3

$10/M · $50/M

Kimi K3 has 2.8 trillion parameters. It is built on the Kimi hybrid linear attention mechanism (Kimi Delta Attention) and Attention Residuals technology. With native support for visual understanding and a context window of up to 1 million tokens, it is designed for cutting-edge intelligent scenarios such as software engineering, knowledge work, and deep reasoning.

По объёму
1M
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