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text-generation

automatic-speech-recognition

zero-shot-image-classification

featured

text-generation

moonshotai/Kimi-K3.1-Pro cover image

Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a 1-million-token context window, Kimi K3.1 Pro delivers substantial improvements in coding, 3D creation, financial research, factual accuracy, and other agentic capabilities.

$0.19 cached, $1.90 in, $9.50 out / 1M

featured

text-generation

DeepSeek-V4.1-Flash-1017

deepseek-ai/DeepSeek-V4.1-Flash-1017 cover image

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete tasks faster and at lower cost and advancing the performance–cost Pareto frontier across multiple agent harnesses.

$0.003 cached, $0.098 in, $0.294 out / 1M

featured

text-generation

DeepSeek-V4.1-Flash

deepseek-ai/DeepSeek-V4.1-Flash cover image

Introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens.

$0.004 cached, $0.14 in, $0.42 out / 1M

featured

text-generation

DeepSeek-V4-Pro-0813

deepseek-ai/DeepSeek-V4-Pro-0813 cover image

DeepSeek-V4-Pro-0813 is the official release of DeepSeek-V4-Pro, superseding the preview version, with greatly enhanced agentic capabilities and performance improvements that are especially pronounced in production environments. It is built on the DeepSeek-V4-Pro (Preview) model structure, with a DSpark speculative decoding module attached.

$0.10 cached, $1.30 in, $2.60 out / 1M

featured

text-generation

DeepSeek-V4-Flash-0731

deepseek-ai/DeepSeek-V4-Flash-0731 cover image

DeepSeek-V4-Flash-0731 is the official release of DeepSeek-V4-Flash, superseding the preview version, with substantially enhanced agentic capabilities. DeepSeek-V4-Flash-0731 outperforms DeepSeek-V4-Pro (Preview) on benchmarks listed below despite its far smaller activated parameter count, and is broadly competitive with the strongest proprietary models available.

$0.015 cached, $0.06 in, $0.18 out / 1M

featured

text-generation

zai-org/GLM-5.2 cover image

GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a **solid 1M-token context**.

Cache retention

$0.105 cached, $0.563 in, $1.80 out / 1M

featured

text-generation

NVIDIA-Nemotron-3-Ultra-550B-A55B

nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B cover image

Nemotron 3 Ultra is built for, frontier reasoning, orchestration, coding agents, deep research, and complex enterprise workflows. It delivers up to 5x faster inference and up to 30% lower cost for agentic workloads while supporting up to 1M token context.

Cache retention

$0.10 cached, $0.50 in, $2.20 out / 1M

featured

text-generation

DeepSeek-V4-Flash

deepseek-ai/DeepSeek-V4-Flash cover image

DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up on reasoning and coding tasks.

Cache retention

$0.018 cached, $0.09 in, $0.18 out / 1M

featured

text-generation

DeepSeek-V4-Pro

deepseek-ai/DeepSeek-V4-Pro cover image

DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on knowledge, math, and software engineering benchmarks.

$0.10 cached, $1.30 in, $2.60 out / 1M

featured

text-generation

moonshotai/Kimi-K2.6 cover image

Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.

$0.15 cached, $0.75 in, $3.50 out / 1M

featured

text-generation

Qwen3.6-35B-A3B

Qwen/Qwen3.6-35B-A3B cover image

Qwen3.6-35B-A3B is Alibaba's latest flagship Mixture-of-Experts model, with 35B total parameters and only 3B activated per token (256 experts, 8 routed + 1 shared). Built on direct feedback from the community, Qwen3.6 prioritizes stability and real-world utility, offering developers a more intuitive, responsive, and genuinely productive coding experience.

$0.10 cached, $0.10 in, $0.95 out / 1M

featured

text-generation

Qwen3.5-397B-A17B

Qwen/Qwen3.5-397B-A17B cover image

Qwen3.5-397B-A17B is Alibaba's most capable Qwen3.5 model, a Mixture-of-Experts architecture with 397B total parameters and 17B activated per token. It features a 262K token context window (extensible to 1M with YaRN), thinking/reasoning mode, tool calling with MCP integration, and support for 201 languages. Sets state-of-the-art results on reasoning, coding, math, and multimodal benchmarks.

$0.22 cached, $0.45 in, $3.00 out / 1M

featured

text-generation

gemma-4-26B-A4B-it

google/gemma-4-26B-A4B-it cover image

Efficient, MoE variant of Gemma 4. Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input and generating text output.

$0.07 in, $0.34 out / 1M

featured

text-generation

google/gemma-4-31B-it cover image

Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input and generating text output.

$0.20 in, $0.40 out / 1M

featured

text-generation

NVIDIA-Nemotron-3-Super-120B-A12B

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B cover image

NVIDIA Nemotron 3 Super is a hybrid Mixture-of-Experts (MoE) model engineered for highest compute efficiency and accuracy in multi-agent applications and specialized agentic systems. It is optimized to run many collaborating agents per application on a single GPU, delivering high accuracy for reasoning, tool use, and instruction following.

$0.075 in, $0.40 out / 1M

bge-base-en-v1.5

BAAI/bge-base-en-v1.5 cover image

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned

$0.005 / 1M tokens

BAAI/bge-en-icl cover image

A LLM-based embedding model with in-context learning capabilities that achieves SOTA performance on BEIR and AIR-Bench. It leverages few-shot examples to enhance task performance.

$0.010 / 1M tokens

bge-large-en-v1.5

BAAI/bge-large-en-v1.5 cover image

BGE embedding is a general Embedding Model. It is pre-trained using retromae and trained on large-scale pair data using contrastive learning. Note that the goal of pre-training is to reconstruct the text, and the pre-trained model cannot be used for similarity calculation directly, it needs to be fine-tuned

$0.010 / 1M tokens

BAAI/bge-m3 cover image

BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in over 100 languages and with input sizes up to 8192 tokens. The model can be used in a retrieval pipeline with hybrid retrieval and re-ranking to achieve higher accuracy and stronger generalization capabilities. BGE-M3 has shown state-of-the-art performance on several benchmarks, including MKQA, MLDR, and NarritiveQA, and can be used as a drop-in replacement for other embedding models like DPR and BGE-v1.5.

$0.010 / 1M tokens

BAAI/bge-m3-multi cover image

BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval), and Multi-Granularity (handling inputs from short queries to long documents). It achieves state-of-the-art retrieval performance across diverse benchmarks while maintaining a single model for multiple retrieval modes. Inputs to this endpoint are truncated to 512 tokens.

$0.010 / 1M tokens

bge-m3-multi-8k

BAAI/bge-m3-multi-8k cover image

BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval), and Multi-Granularity (handling inputs from short queries to long documents). It achieves state-of-the-art retrieval performance across diverse benchmarks while maintaining a single model for multiple retrieval modes. This endpoint serves the model's full 8192-token context.

$0.010 / 1M tokens

text-generation

Qwen/Qwen3-14B cover image

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support.

$0.12 in, $0.24 out / 1M

text-generation

Qwen3-235B-A22B-Instruct-2507

Qwen/Qwen3-235B-A22B-Instruct-2507 cover image

Qwen3-235B-A22B-Instruct-2507 is the updated version of the Qwen3-235B-A22B non-thinking mode, featuring Significant improvements in general capabilities, including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage.

$0.09 in, $0.55 out / 1M

text-generation

Qwen/Qwen3-30B-A3B cover image

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support

$0.12 in, $0.50 out / 1M

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Latest Models

nace-ai/drex-max-finance Lightricks/LTX-Upscale Lightricks/LTX-Reframe Lightricks/LTX-HDR Lightricks/LTX-AlphaGen

Featured Models

moonshotai/Kimi-K3.1-Pro Qwen/Qwen3.5-397B-A17B zai-org/GLM-5.3-Flash moonshotai/Kimi-K2.6 Qwen/Qwen3.6-35B-A3B

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