Models692 models

Qwen: Qwen3 30B A3B Instruct 2507

qwen/qwen3-30b-a3b-instruct-2507

Qwen: Qwen3 30B A3B Instruct 2507 is a text generation model from Qwen. It is a 30.5B-parameter mixture-of-experts language model, with 3.3B active parameters per inference, and it operates in non-thinking mode. The model was released by the provider on 2025-07-29 and has a knowledge cutoff of…

Z.ai: GLM 4.5

z-ai/glm-4.5

Z.ai: GLM 4.5 is a text model from Z.ai, released by the provider on 2025-07-25. It is described as Z.ai's latest flagship foundation model, purpose built for agent based applications, and it uses a Mixture of Experts (MoE) architecture. If you are choosing a general purpose text model for an…

Z.ai: GLM 4.5 Air

z-ai/glm-4.5-air

Z.ai: GLM 4.5 Air is a text model from Z.ai, released by the provider on 25 July 2025. It is the lightweight variant of the GLM 4.5 flagship family, built with a Mixture-of-Experts architecture and a more compact parameter count than its larger sibling. Z.ai describes the family as purpose-built…

Qwen: Qwen3 235B A22B Thinking 2507

qwen/qwen3-235b-a22b-thinking-2507

Qwen3 235B A22B Thinking 2507 is a text model from Qwen, released by the provider on 2025-07-25. It is an open-weight Mixture-of-Experts (MoE) language model built for complex reasoning tasks, and it activates 22B of its 235B parameters per forward pass. The "Thinking" label and the reasoning…

Qwen: Qwen3 Coder 480B A35B

qwen/qwen3-coder

Qwen3 Coder 480B A35B is a text generation model from the Qwen team, released on 23 July 2025. It is a Mixture-of-Experts (MoE) model built specifically for code generation, and the name reflects its architecture: 480 billion total parameters with roughly 35 billion active per forward pass. The…

ByteDance: UI-TARS 7B

bytedance/ui-tars-1.5-7b

UI-TARS 7B is a multimodal model from ByteDance, released on 22 July 2025 under the model id bytedance/ui-tars-1.5-7b. It belongs to the UI-TARS 1.5 family, a line of vision-language agents built for GUI-based environments. ByteDance describes it as optimized for desktop interfaces, web browsers,…

Google: Gemini 2.5 Flash Lite

google/gemini-2.5-flash-lite

Google: Gemini 2.5 Flash Lite is a lightweight reasoning model from Google, part of the Gemini 2.5 family. Google positions it as the smallest and fastest option in that family, built for ultra-low latency and high throughput rather than maximum capability. It was released by the provider on 22…

Qwen: Qwen3 235B A22B Instruct 2507

qwen/qwen3-235b-a22b-2507

Qwen: Qwen3 235B A22B Instruct 2507 is a text generation model from Qwen. It is an instruction-tuned, multilingual mixture-of-experts model built on the Qwen3 235B architecture, with 22 billion active parameters per forward pass. The provider release date is 21 July 2025, and the model's knowledge…

MoonshotAI: Kimi K2 0711

moonshotai/kimi-k2

Kimi K2 0711 is a text model from Moonshot AI, identified on api14 as moonshotai/kimi-k2. It is a large-scale Mixture-of-Experts (MoE) language model with 1 trillion total parameters and 32 billion active per forward pass, which means only a fraction of the network is engaged for each token it…

Venice: Uncensored

cognitivecomputations/dolphin-mistral-24b-venice-edition

Venice: Uncensored is a text model published under the model id cognitivecomputations/dolphin-mistral-24b-venice-edition. It is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. The provider listed for it is Venice, and the provider…

Tencent: Hunyuan A13B Instruct

tencent/hunyuan-a13b-instruct

Tencent Hunyuan A13B Instruct is a text generation model from Tencent, released on 8 July 2025. It is a Mixture-of-Experts (MoE) language model with 13B active parameters and a total parameter count of 80B. Alongside standard instruction following, it supports reasoning through Chain-of-Thought,…

Morph: Morph V3 Large

morph/morph-v3-large

Morph: Morph V3 Large is a text model from Morph. It is presented as Morph's high accuracy apply model for complex code edits, and the provider describes it as reaching roughly 4,500 tokens per second with 98% accuracy for precise code transformations. That framing tells you what the model is built…

Morph: Morph V3 Fast

morph/morph-v3-fast

Morph: Morph V3 Fast is a text model from Morph, released by the provider on 7 July 2025. It belongs to the text category and is described by Morph as its fastest apply model for code edits. The model is built around a specific job: applying an edit snippet to an initial piece of code, guided by an…

Mistral: Mistral Small 3.2 24B

mistralai/mistral-small-3.2-24b-instruct

Mistral Small 3.2 24B is an instruction-tuned language model from Mistral, released by the provider on 2025-06-20 under the model id mistralai/mistral-small-3.2-24b-instruct. It is a 24B parameter model, and this 3.2 release is an update to the 3.1 version, optimized for instruction following,…

MiniMax: MiniMax M1

minimax/minimax-m1

MiniMax M1 is a text model from MiniMax, released on 17 June 2025. It is a large-scale, open-weight reasoning model built for extended context and high-efficiency inference. Under the hood it uses a hybrid Mixture-of-Experts architecture paired with a custom "lightning attention" mechanism, which…

Google: Gemini 2.5 Flash

google/gemini-2.5-flash

Google: Gemini 2.5 Flash is a text model from Google, listed on api14 under the model id google/gemini-2.5-flash. It sits in the text category and is described by Google as its state-of-the-art workhorse model, built for advanced reasoning, coding, mathematics and scientific tasks. It includes…

Google: Gemini 2.5 Pro

google/gemini-2.5-pro

Google: Gemini 2.5 Pro is a text model from Google, listed on api14 under the model id google/gemini-2.5-pro. It is Google's state-of-the-art model built for advanced reasoning, coding, mathematics and scientific tasks, and it uses thinking capabilities to reason through responses with enhanced…

OpenAI: o3 Pro

openai/o3-pro

OpenAI o3 Pro is a text model from OpenAI, released on 10 June 2025 as part of the o-series. The o-series models are trained with reinforcement learning to think before they answer and to perform complex reasoning. Within that family, o3-pro uses more compute to think harder and provide…

Google: Gemini 2.5 Pro Preview 06-05

google/gemini-2.5-pro-preview

Google: Gemini 2.5 Pro Preview 06-05 is a text generation model from Google, offered through api14 under the model id google/gemini-2.5-pro-preview. It is part of the Gemini 2.5 Pro line, which Google describes as its state-of-the-art model built for advanced reasoning, coding, mathematics and…

DeepSeek: R1 0528

deepseek/deepseek-r1-0528

DeepSeek: R1 0528 is a text model from DeepSeek, released by the provider on 2025-05-28 as the May 28th update to the original DeepSeek R1. It is a 671B parameter model with 37B active parameters, and it is open-sourced with fully open reasoning tokens. DeepSeek describes its performance as on par…

Mistral: Mistral Medium 3

mistralai/mistral-medium-3

Mistral Medium 3 is an enterprise-grade language model from Mistral, released by the provider on 7 May 2025. It sits in the text category and is positioned as a high-performance model that balances strong reasoning with multimodal input handling. If you are evaluating it for a production workload,…

Meta: Llama Guard 4 12B

meta-llama/llama-guard-4-12b

Meta: Llama Guard 4 12B is a content safety classification model from Meta. It is derived from Llama 4 Scout, a multimodal pretrained model, and then fine tuned specifically for content safety classification. Meta released it on 30 April 2025, and it belongs to the text category on api14. If you…

Qwen: Qwen3 30B A3B

qwen/qwen3-30b-a3b

Qwen: Qwen3 30B A3B is a text model from Qwen, the latest generation in the Qwen large language model series. It belongs to the Qwen3 family, which includes both dense and mixture-of-experts (MoE) architectures, and this particular variant is the 30B A3B MoE model. It was released by the provider…

Qwen: Qwen3 14B

qwen/qwen3-14b

Qwen: Qwen3 14B is a text model from Qwen, the model family and provider name given on this page. It belongs to the Qwen3 series and is described as a dense 14.8B parameter causal language model, built for both complex reasoning and efficient dialogue. The provider release date is 2025-04-28, and…

Qwen: Qwen3 32B

qwen/qwen3-32b

Qwen: Qwen3 32B is a text model from Qwen, part of the Qwen3 series. It is a dense causal language model with 32.8 billion parameters, released by the provider on 2025-04-28. The model is built for both complex reasoning and efficient dialogue, and it supports switching between a thinking mode and…

OpenAI: o4 Mini High

openai/o4-mini-high

OpenAI: o4 Mini High is a text model from OpenAI, released on 16 April 2025. It belongs to the o-series of reasoning models, and it is the same model as o4-mini with the reasoning_effort parameter set to high. The "high" variant therefore represents the more deliberate end of that model's reasoning…

OpenAI: o3

openai/o3

OpenAI o3 is a text-focused model from OpenAI, released by the provider on 16 April 2025. It sits in the text category and is described by OpenAI as a well-rounded and powerful model across domains, with particular strength in math, science, coding and visual reasoning, as well as technical writing…

OpenAI: o3 (batch)

openai/o3:batch

OpenAI o3 (batch) is a text model from OpenAI, offered here under the model id openai/o3:batch. It belongs to the o3 family, which OpenAI describes as a well rounded and powerful model across domains, setting a new standard for math, science, coding and visual reasoning tasks, and also performing…

OpenAI: o4 Mini

openai/o4-mini

OpenAI o4 Mini is a compact reasoning model from OpenAI, part of the company's o-series. It was released by the provider on 16 April 2025, and its knowledge cutoff is 30 June 2024. The model sits in the text category and is positioned as a smaller sibling to OpenAI's larger reasoning models, aimed…

OpenAI: o4 Mini (batch)

openai/o4-mini:batch

OpenAI o4 Mini (batch) is a compact reasoning model from OpenAI's o-series, offered through api14 under the model id openai/o4-mini:batch. It belongs to the text category and is built for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. The batch variant…

OpenAI: GPT-4.1

openai/gpt-4.1

GPT-4.1 is a flagship large language model from OpenAI, released by the provider on 14 April 2025. It sits in the text category and is positioned for advanced instruction following, real-world software engineering, and long-context reasoning. If you are already working within the OpenAI family of…

OpenAI: GPT-4.1 (batch)

openai/gpt-4.1:batch

OpenAI: GPT-4.1 (batch) is a text model from OpenAI. It is the batch variant of GPT-4.1, OpenAI's flagship large language model, which the provider describes as optimized for advanced instruction following, real-world software engineering, and long-context reasoning. The original provider release…

OpenAI: GPT-4.1 Mini

openai/gpt-4.1-mini

GPT-4.1 Mini is a text model from OpenAI, released on 14 April 2025. It sits in the middle of the GPT-4.1 family: a mid-sized model that OpenAI describes as delivering performance competitive with GPT-4o while running at substantially lower latency and cost. If you already know the GPT-4.1 line,…

OpenAI: GPT-4.1 Mini (batch)

openai/gpt-4.1-mini:batch

GPT-4.1 Mini is a text model from OpenAI, offered here through the batch variant identified as openai/gpt-4.1-mini:batch. It sits in the middle of OpenAI's GPT-4.1 family: smaller than the flagship GPT-4.1, but built to deliver performance competitive with GPT-4o while running with substantially…

OpenAI: GPT-4.1 Nano

openai/gpt-4.1-nano

GPT-4.1 Nano is a text model from OpenAI, part of the GPT-4.1 series. OpenAI positions it as the smallest and fastest member of that family, aimed at tasks where low latency matters. It was released by the provider on 14 April 2025, and its knowledge cutoff is 30 June 2024, so anything after that…

OpenAI: GPT-4.1 Nano (batch)

openai/gpt-4.1-nano:batch

GPT-4.1 Nano (batch) is a text model from OpenAI, part of the GPT-4.1 family. It is the smallest model in that series, positioned by OpenAI for tasks that demand low latency. On api14 it is exposed under the model id openai/gpt-4.1-nano:batch, and the batch designation indicates the batch variant…

Meta: Llama 4 Maverick

meta-llama/llama-4-maverick

Meta: Llama 4 Maverick is a multimodal language model from Meta, released on 5 April 2025. It is described as Llama 4 Maverick 17B Instruct (128E), built on a mixture-of-experts architecture with 128 experts and 17 billion active parameters per forward pass. It sits in the text category on api14,…

Meta: Llama 4 Scout

meta-llama/llama-4-scout

Meta: Llama 4 Scout is a language model developed by Meta. It is a mixture-of-experts model that activates 17 billion parameters out of a total of 109 billion, and it is published under the name Llama 4 Scout 17B Instruct (16E). It sits in the text category on api14, and its knowledge cutoff is…

DeepSeek: DeepSeek V3 0324

deepseek/deepseek-chat-v3-0324

DeepSeek V3 0324 is a text model from DeepSeek, released by the provider on 24 March 2025. It is the latest iteration of DeepSeek's flagship chat model family and succeeds the earlier DeepSeek V3 model. Under the hood it is a 685B-parameter mixture-of-experts model, which means only part of the…

OpenAI: o1-pro

openai/o1-pro

OpenAI o1-pro is a text model from OpenAI, part of the o1 series. OpenAI describes the o1 family as models trained with reinforcement learning to think before they answer and to perform complex reasoning, and o1-pro is the variant that uses more compute to think harder and provide its answers. It…

Mistral: Mistral Small 3.1 24B

mistralai/mistral-small-3.1-24b-instruct

Mistral Small 3.1 24B Instruct is a text generation model from Mistral, released by the provider on 17 March 2025. It is an upgraded variant of Mistral Small 3 (2501) and carries 24 billion parameters. On api14 it sits in the text category, and the model id you use when calling it is…

Google: Gemma 3 4B

google/gemma-3-4b-it

Google: Gemma 3 4B is a text generation model from Google, released on 13 March 2025. It belongs to the Gemma 3 family, which Google describes as introducing multimodality, meaning these models accept vision and language input rather than text alone. The 4B in the name refers to the model's size…

Google: Gemma 3 12B

google/gemma-3-12b-it

Gemma 3 12B is a text generation model from Google, released on 13 March 2025 as part of the Gemma 3 family. It is the instruction-tuned 12B variant, identified on api14 as google/gemma-3-12b-it. Gemma 3 marks Google's move to bring multimodality to the Gemma line, so this model accepts both text…

Cohere: Command A

cohere/command-a

Command A is a text generation model from Cohere, released by the provider on 13 March 2025. It is an open-weights model with 111 billion parameters, positioned by Cohere for agentic, multilingual and coding work. On api14 it appears under the model id cohere/command-a and sits in the text…

Reka Flash 3

rekaai/reka-flash-3

Reka Flash 3 is a general-purpose, instruction-tuned large language model from Reka AI, a provider that builds its own family of models. It carries 21 billion parameters and was released by the provider on 12 March 2025. The model sits in the text category, so it is aimed at language work rather…

Google: Gemma 3 27B

google/gemma-3-27b-it

Google Gemma 3 27B is an open model from Google, distributed under the Gemma family and served on api14 under the model id google/gemma-3-27b-it. It sits in the text category, and the provider release date is 12 March 2025. The knowledge cutoff is 31 August 2024, so anything after that date is…

TheDrummer: Skyfall 36B V2

thedrummer/skyfall-36b-v2

TheDrummer: Skyfall 36B V2 is a text generation model from TheDrummer, released on 10 March 2025. It is an enhanced iteration of Mistral Small 2501, fine-tuned specifically for improved creativity, nuanced writing, role-playing, and coherent storytelling. The model's knowledge cutoff is 30 June…

Perplexity: Sonar Reasoning Pro

perplexity/sonar-reasoning-pro

Perplexity: Sonar Reasoning Pro is a text generation model from Perplexity, released by the provider on 7 March 2025. It sits in the text category and is built as a premier reasoning model powered by DeepSeek R1 with Chain of Thought. If you already route other Perplexity models through your stack,…

Perplexity: Sonar Pro

perplexity/sonar-pro

Perplexity: Sonar Pro is a text generation model from Perplexity, released by the provider on 7 March 2025. It sits in the text category and is aimed at developers who need a hosted model that can answer queries with the option of web search behind it. Perplexity builds the model and serves it…

Perplexity: Sonar Deep Research

perplexity/sonar-deep-research

Perplexity: Sonar Deep Research is a research-focused text model from Perplexity, the company behind the Sonar family of search-grounded models. It was released by the provider on 7 March 2025. It is aimed at complex, multi-step research work rather than quick conversational replies, and it sits in…

Mistral: Saba

mistralai/mistral-saba

Mistral: Saba is a text model from Mistral, released by the provider on 17 February 2025. It is a 24B-parameter language model specifically designed for the Middle East and South Asia, trained on curated regional data to deliver accurate and contextually relevant responses while maintaining…

OpenAI: o3 Mini High

openai/o3-mini-high

OpenAI o3 Mini High is a text model from OpenAI. It is the same underlying model as o3-mini, with the reasoning_effort parameter effectively pinned to high, so you get the most deliberate version of the model's reasoning behaviour rather than a separate architecture. OpenAI positions o3-mini as a…

AionLabs: Aion-RP 1.0 (8B)

aion-labs/aion-rp-llama-3.1-8b

AionLabs: Aion-RP 1.0 (8B) is a text model from AionLabs, built on Llama 3.1 8B and fine-tuned for roleplay. AionLabs describes it as ranking highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto in which LLMs evaluate each…

Qwen: Qwen2.5 VL 72B Instruct

qwen/qwen2.5-vl-72b-instruct

Qwen: Qwen2.5 VL 72B Instruct is a vision language model from Qwen, the model family developed by Alibaba Cloud. The "72B" in the name refers to the size of the underlying model, and "Instruct" indicates it has been tuned to follow instructions rather than simply continue text. It sits in the text…

Qwen: Qwen-Plus

qwen/qwen-plus

Qwen-Plus is a text model from Qwen, the model family developed by Alibaba Cloud. It is built on the Qwen2.5 foundation model and was released by the provider on 2025-02-01. On api14 it is listed under the model id qwen/qwen-plus and sits in the text category, so it is aimed at general language…

OpenAI: o3 Mini

openai/o3-mini

OpenAI o3 Mini is a text model from OpenAI, released on 31 January 2025. It is positioned as a cost-efficient language model optimized for STEM reasoning tasks, with particular strength in science, mathematics and coding. It sits in the text category and is aimed at developers who need…

OpenAI: o3 Mini (batch)

openai/o3-mini:batch

OpenAI o3 Mini (batch) is a text model from OpenAI, released by the provider on 31 January 2025. It is a reasoning focused model, cost efficient and optimized for STEM tasks, with particular strength in science, mathematics and coding. The batch label indicates how the model is served through api14…

Mistral: Mistral Small 3

mistralai/mistral-small-24b-instruct-2501

Mistral Small 3 is a text generation model from Mistral, released by the provider on 30 January 2025. It is a 24B-parameter language model optimized for low-latency performance across common AI tasks, and it is released under the Apache 2.0 license. Both pre-trained and instruction-tuned versions…

Perplexity: Sonar

perplexity/sonar

Perplexity: Sonar is a text model from Perplexity, released on 27 January 2025. Perplexity describes it as lightweight, fast, affordable and simple to use, with citations and the ability to customize sources. It is aimed at companies that want to integrate lightweight question and answer features…

MiniMax: MiniMax-01

minimax/minimax-01

MiniMax-01 is a text generation model from MiniMax, released by the provider on 15 January 2025. It combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding into a single model, and it is built on 456 billion parameters, with 45.9 billion parameters activated per…