GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully...
NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
GPT model for general reasoning, writing, coding, and tool-assisted tasks
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Small omni GPT for cheap multimodal assistance and production-scale traffic
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Tiny GPT-4.1 option for classification, routing, and very high-volume tasks
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Compact GPT model for low-latency assistance and high-volume workloads
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| OpenAI: GPT-5 Mini (batch)openai/gpt-5-mini:batch | 15.6 | 400K | $0.125 | $1 | — | |||
| Qwen: Qwen3 32Bqwen/qwen3-32b | 15.3 | 40.96K | $0.08 | $0.28 | — | |||
| Mistral: Ministral 3 14B 2512mistralai/ministral-14b-2512 | 14.4 | 262.144K | $0.2 | $0.2 | — | |||
| NVIDIA: Nemotron 3 Nano 30B A3B (free)nvidia/nemotron-3-nano-30b-a3b:free | 14.4 | 256K | Free | Free | — | |||
| NVIDIA: Nemotron 3 Nano Omni (free)nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free | 13.8 | 256K | Free | Free | — | |||
| Qwen: Qwen3 14Bqwen/qwen3-14b | 13.8 | 40.96K | $0.12 | $0.24 | — | |||
| GPT-4openai/gpt-4 | 13.1 | 8.192K | $30 | $60 | 2023-11-06 | |||
| Qwen: Qwen3 30B A3B Thinking 2507qwen/qwen3-30b-a3b-thinking-2507 | 12.1 | 81.92K | $0.2 | $2.4 | — | |||
| Meta: Llama 3.3 70B Instructmeta-llama/llama-3.3-70b-instruct | 11.9 | 131.072K | $0.1 | $0.32 | — | |||
| Meta: Llama 3.3 70B Instruct (free)meta-llama/llama-3.3-70b-instruct:free | 11.9 | 65.536K | Free | Free | — | |||
| GPT-4o miniopenai/gpt-4o-mini | 11.4 | 128K | $0.15 | $0.6 | 2024-07-18 | |||
| OpenAI: GPT-4o-mini (batch)openai/gpt-4o-mini:batch | 11.4 | 128K | $0.075 | $0.3 | — | |||
| GPT-4.1 nanoopenai/gpt-4.1-nano | 11.1 | 1.04758M | $0.1 | $0.4 | 2025-04-14 | |||
| OpenAI: GPT-4.1 Nano (batch)openai/gpt-4.1-nano:batch | 11.1 | 1.04758M | $0.05 | $0.2 | — | |||
| GPT-3.5-turboopenai/gpt-3.5-turbo | 10.7 | 16.385K | $0.5 | $1.5 | 2023-03-01 | |||
| OpenAI: GPT-3.5 Turbo (batch)openai/gpt-3.5-turbo:batch | 10.7 | 16.385K | $0.25 | $0.75 | — | |||
| Mistral: Ministral 3 8B 2512mistralai/ministral-8b-2512 | 9.7 | 262.144K | $0.15 | $0.15 | — | |||
| Mistral: Ministral 3 8B 2512 (batch)mistralai/ministral-8b-2512:batch | 9.7 | 262.144K | $0.075 | $0.075 | — | |||
| Qwen: Qwen3 8Bqwen/qwen3-8b | 9.0 | 131.072K | $0.117 | $0.455 | — | |||
| Meta: Llama 4 Scoutmeta-llama/llama-4-scout | 8.2 | 327.68K | $0.1 | $0.3 | — | |||
| LiquidAI: LFM2.5-2.6Bliquid/lfm-2.5-2.6b | 7.7 | 128K | $0.35 | $0.5 | — | |||
| LiquidAI: LFM2.5-2.6B (free)liquid/lfm-2.5-2.6b:free | 7.7 | 65.536K | Free | Free | — | |||
| Meta: Llama 3.1 8B Instructmeta-llama/llama-3.1-8b-instruct | 5.4 | 131.072K | $0.05 | $0.08 | — | |||
| Mistral: Ministral 3 3B 2512mistralai/ministral-3b-2512 | 4.8 | 131.072K | $0.1 | $0.1 | — |