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LLM Directory

Compare pricing, context windows, and benchmarks across 164 models from 16 providers and 3 hosted platforms.

164 models26 free / open-sourceUpdated 2026-06-15Compare models →

LLM Providers

Companies that build and host their own foundation models.

OpenAI

OpenAI

22 models

Leading AI lab and API provider. Creators of GPT, o-series reasoning models, and DALL·E.

From $5.00Budget $0.040
Anthropic

Anthropic

9 models

AI safety company. Creators of the Claude model family, emphasizing responsible AI development.

From $5.00Budget $0.625
Google

Google

15 models

Google DeepMind's Gemini model family. 1M+ context windows, multimodal, competitive pricing.

From $2.00Budget $0.020
DeepSeek

DeepSeek

7 models

Chinese AI lab offering frontier open-weight models at dramatically low prices.

From $0.003
xAI

xAI

5 models

Elon Musk's AI company. Grok models with real-time X (Twitter) data access.

From $3.00Budget $0.200
Meta

Meta

10 models

Meta's open-weight Llama model family. Free to download; pricing shown for hosted API partners.

From $3.00Budget $0.050
Mistral

Mistral

8 models

French AI company offering open-weight and commercial models. Known for efficient architectures.

From $1.36Budget $0.100
Cohere

Cohere

6 models

Enterprise-focused AI company. Command R models for RAG, search, and business applications.

From $2.50Budget $0.050
Moonshot AI

Moonshot AI

5 models

Chinese AI company. Creators of Kimi models with strong long-context and coding abilities.

From $0.600Budget $0.150
MiniMax

MiniMax

5 models

Chinese AI company offering text, speech, and video generation models.

From $0.300Budget $0.010
Alibaba Cloud (Qwen)

Alibaba Cloud (Qwen)

10 models

Alibaba's Qwen model family. Open-weight and API-available. Strong multilingual support.

From $0.800Budget $0.010
NVIDIA

NVIDIA

5 models

NVIDIA NIM inference platform. Hosts and serves popular open-weight models at scale.

From $0.800Budget $0.200
Shanghai AI Laboratory

Shanghai AI Laboratory

1 models

Shanghai AI Lab (InternLM) — agentic models with open MIT weights and long context windows.

Aleph Alpha

Aleph Alpha

1 models

German AI lab. Kolibri 1 is an Apache 2.0 English-German mixture-of-experts model. No public token price was on the model card or the October 3, 2026 launch post.

Cloudflare

Cloudflare

3 models

Workers AI hosts Clef, Clef-flash, and Clef-Omni. All three are decision models. The published unit is input tokens. No output token price is on the model pages.

Budget $0.090
Perplexity

Perplexity

1 models

pplx-decider-v1-27b is an Apache 2.0 decision checkpoint. The model card publishes no token price and no context length.

Hosted Platforms

Unified APIs that serve models from multiple providers — one key, many models.

Full Comparison

All models sortable by provider, price, and context window. Click a provider name for details.

ProviderModelCategoryInput / 1MOutput / 1MContext
OpenAI
GPT-5.5
OpenAI's widely available 2026 coding and reasoning workhorse for ChatGPT, Codex, and the API. Strong tool use with large context.
Flagship$5.00$30.001.0M
GPT-5.6
OpenAI's July 2026 three-tier family (Sol / Terra / Luna) with programmatic tool calling in the Responses API. Sol is the frontier tier for coding, reasoning, and agent workflows.
Flagship$5.00$30.001.0M
GPT-4.1
Long-context coding model with 1M token context window.
Flagship$2.00$8.001.0M
GPT-4.1 Mini
Affordable long-context model balancing speed and intelligence.
Mid-range$0.400$1.601.0M
GPT-4.1 Nano
Ultra-fast, ultra-cheap model for high-volume tasks.
Budget$0.100$0.4001.0M
GPT-4o
Flagship multimodal model. Fast, capable, and widely deployed.
Flagship$2.50$10.00128K
GPT-4o Mini
Fast, affordable small model for everyday tasks.
Budget$0.150$0.600128K
o3
Reasoning model for complex STEM, math, and multi-step tasks.
Reasoning$10.00$40.00200K
o3 Pro
Highest-capability reasoning model for hardest problems.
Reasoning$20.00$80.00200K
o3 Deep Research
Extended reasoning with web browsing for research tasks.
Reasoning$10.00$40.00200K
o4-mini
Affordable reasoning model balancing cost and capability.
Reasoning$1.10$4.40200K
o4-mini Deep Research
Budget research model with web browsing.
Reasoning$1.10$4.40200K
GPT-5
Next-generation general-purpose model with agentic capabilities.
Flagship$1.25$10.00128K
GPT-5.1
Improved GPT-5 with larger context and better reasoning.
Flagship$2.00$12.00256K
GPT-5.2
Latest GPT-5 iteration with strongest coding and math.
Flagship$2.50$15.00256K
GPT-5 Mini
Fast, affordable variant of GPT-5 for everyday tasks.
Mid-range$0.250$1.50128K
GPT-5 Nano
Ultra-cheap GPT-5 variant for high-volume classification.
Budget$0.050$0.300128K
GPT-5 Chat
Chat-optimized variant of GPT-5 for conversational use.
Chat$1.25$10.00128K
GPT-5 Codex
Code-generation focused variant of GPT-5.
Coding$1.50$12.00256K
Computer Use Preview
Model specialized in GUI interaction and computer control.
Agentic$3.00$12.00128K
GPT-4.5 Preview
Earlier preview model. Superseded by GPT-4.1 and GPT-5.
Legacy$30.00$60.00128K
DALL·E 3
Image generation model. Priced per image, not per token.
Image$0.040$0.040—
Anthropic
Claude Opus 4.8
Current Anthropic flagship for coding, long-context, and multi-step agent loops. 1M context at significantly lower cost than prior Opus tiers.
Flagship$5.00$25.001.0M
Claude Opus 5.5
First model in Anthropic's Claude 5.5 family (Sep 22, 2026). Fable 5.1-level performance at ~40% lower workload cost than Opus 5, with a 60% cache-read price cut. Targets long-running agentic coding, computer use, and knowledge work. BenchAlign v5.6 score 88.5.
Flagship$4.00$20.001.0M
Claude 4 Opus
Most capable Claude model for complex agentic workflows.
Flagship$15.00$75.00200K
Claude 4 Sonnet
Latest Sonnet with extended thinking. Best price-performance.
Mid-range$3.00$15.00200K
Claude 4 Haiku
Fast, cost-effective model for high-volume tasks.
Budget$0.625$2.50200K
Claude 3.7 Sonnet
Prior-generation Sonnet with extended thinking mode.
Mid-range$3.00$15.00200K
Claude 3.5 Sonnet
Previous-generation Sonnet. Still strong for coding tasks.
Legacy$3.00$15.00200K
Claude 3.5 Haiku
Previous-generation Haiku. Good for fast, simple tasks.
Legacy$0.800$4.00200K
Claude 3 Opus
Original Opus model. Superseded by Claude 4 Opus.
Legacy$15.00$75.00200K
Google
Gemini 4 Argon
Public id gemini-4-argon. Intro rate $2/$10 per million tokens through November 30, 2026, then $4/$20, from the Oct 13 blog footnote and the first Agent Platform table. Cached input on that table is $0.10, then $0.20. Two other Argon tables on the same page had no heading in the fetch. Explicit caching, image generation, and Live API are unsupported on the model docs page. Default sync output cap is 65,536; long decode can use the unified 1,048,576.
Flagship$2.00$10.001.0M
EmbeddingGemma 2
740M open multimodal embedding model. Maps text, images, video, and audio into one 768-d space. No token price on the October 6, 2026 card.
Embedding——8K
Gemini 3.1 Pro
Google's high-capability multimodal model for long context, coding agents, and Vertex / AI Studio deployments.
Flagship$2.50$15.001.0M
Gemini 2.5 Pro
1M token context. Strong coding and reasoning. Best Gemini model.
Flagship$1.25$10.001.0M
Gemini 2.5 Flash
Fast, cost-efficient Gemini with 1M context window.
Mid-range$0.150$0.6001.0M
Gemini 2.0 Flash
Stable 2.0 Flash for production workloads.
Mid-range$0.100$0.4001.0M
Gemini 2.0 Flash Lite
Ultra-lightweight model for high-volume tasks.
Budget$0.075$0.3001.0M
Gemini 1.5 Pro
2M context window model. Good for long document analysis.
Legacy$1.25$5.002.1M
Gemini 1.5 Flash
Fast, affordable 1M context model. Superseded by 2.5 Flash.
Legacy$0.075$0.3001.0M
Gemma 3 27B
Open-weight instruction-tuned model. Free to download and run locally.
Open Source$0.000$0.000128K
Gemma 3 12B
Mid-size open-weight model. Good balance for local deployment.
Open Source$0.000$0.000128K
Gemma 3 4B
Small open-weight model. Runs on consumer hardware.
Open Source$0.000$0.000128K
Gemma 4 QAT 32B
Quantization-aware training release. 72% less VRAM needed. Runs on 16GB GPUs.
Open Source$0.000$0.000256K
Gemma 4 QAT 14B
Mid-size QAT model. Efficient inference for 8GB GPUs.
Open Source$0.000$0.000128K
Imagen 3
Text-to-image generation model. Priced per image.
Image$0.020$0.020—
DeepSeek
DeepSeek-V4.1-Flash
DeepSeek's Causal Encoder-Decoder MoE (552B total, 8B active prefill) cuts KV cache 8x. GPQA Diamond 90.9, Terminal-Bench 2.1: 90.6. $0.003/M input off-peak. MIT-licensed open weights.
Flagship$0.003$0.210400K
DeepSeek-V4
Latest DeepSeek flagship. 1M context, top-tier coding and math.
Flagship$0.300$0.6001.0M
DeepSeek-V4 Flash
Fast variant of V4. Incredible price-performance ratio.
Mid-range$0.140$0.2801.0M
DeepSeek-V4 Pro
DeepSeek V4 Pro reasoning model. Replaces deepseek-reasoner.
Reasoning$0.435$0.8701.0M
DeepSeek-V3
Strong open-weight model at very low cost.
Legacy$0.140$0.28064K
DeepSeek-R1
Reasoning model. Output includes chain-of-thought.
Reasoning$0.550$2.1964K
DeepSeek-R1-0528
Updated R1 with improved coding and longer output.
Reasoning$0.550$2.1964K
xAI
Grok 3
xAI flagship with real-time X data access.
Flagship$3.00$15.00131K
Grok 4.7
xAI's September 21, 2026 flagship for coding and knowledge work. Larger base model with longer RL training on multi-hour tasks. Held at Grok 4.6's $2/$6 token rates, but independent testing shows ~2.5x higher token use. Artificial Analysis Intelligence Index 46 (xHigh). 500K context, multimodal input.
Flagship$2.00$6.00500K
Grok 3 Mini
Fast, affordable Grok model for everyday tasks.
Budget$0.300$0.500131K
Grok 2
Previous-generation Grok. Still capable for general tasks.
Legacy$2.00$10.00131K
Grok 2 Mini
Budget previous-generation Grok model.
Legacy$0.200$0.600131K
Meta
Muse Glimmer 30B
Meta's 30B open-weight agentic model (Apache 2.0). Runs on a single consumer GPU with DFlash speculative decoding. 131K context, multimodal.
Open Source$0.000$0.000131K
Muse Spark 1.2
Meta's frontier coding model co-trained with Muse Code agent. Improved agentic knowledge-work performance. No published benchmark scores at launch.
Flagship$3.00$6.00128K
Llama 4 Maverick
Open-weight multimodal MoE model. 128 active of 400B params.
Flagship$0.200$0.600256K
Llama 4 Scout
Efficient MoE model. 1M context window. Good for RAG.
Mid-range$0.150$0.4501.0M
Llama 3.3 70B
Stable 70B model. Good balance of capability and speed.
Mid-range$0.880$0.880131K
Llama 3.1 405B
Largest open-weight model. Requires significant compute.
Flagship$3.00$3.00131K
Llama 3.1 70B
Popular 70B model for fine-tuning and local deployment.
Mid-range$0.880$0.880131K
Llama 3.1 8B
Small, fast model. Great for edge devices and prototyping.
Budget$0.050$0.050131K
Llama 3.2 11B Vision
Multimodal model with image understanding.
Multimodal$0.180$0.180131K
Llama 3.2 90B Vision
Large multimodal model with strong vision capabilities.
Multimodal$0.900$0.900131K
Mistral
Mistral Large 4
Public preview. 1 trillion parameters, 49 billion active. Card rate $1.36 / $4.18 per million tokens. Weights not released on the October 6, 2026 post. Context window not published.
Flagship$1.36$4.18—
Mistral Large
Mistral's most capable model. Strong multilingual and coding.
Flagship$2.00$6.00128K
Mistral Medium
Good balance of cost and capability for production use.
Mid-range$0.400$2.00128K
Mistral Small
Fast, affordable model for high-volume tasks.
Budget$0.200$0.600128K
Mistral Nemo
Open-weight 12B model. Good for fine-tuning.
Open Source$0.150$0.150128K
Mistral Codestral
Code generation model. 256K context, 80+ languages.
Coding$0.300$0.900256K
Pixtral Large
Multimodal model combining vision and text understanding.
Multimodal$2.00$6.00128K
Mistral Embed
Embedding model for search and RAG applications.
Embedding$0.100$0.0008K
Cohere
Command R+
Cohere's most capable model. Strong for RAG and enterprise search.
Flagship$2.50$10.00128K
Command R
Cost-effective model optimized for RAG and tool use.
Mid-range$0.500$2.00128K
Command A
Latest Command model with extended context and improved performance.
Mid-range$0.950$3.80256K
Command R7B
Small, fast model for classification and simple RAG.
Budget$0.050$0.200128K
Cohere Embed v3
Multilingual embedding model for search and retrieval.
Embedding$0.100$0.000512
Cohere Rerank v3
Reranking model for improving search relevance.
Reranking$0.100$0.0004K
Moonshot AI
Kimi K2
Latest Kimi model. Strong coding and agentic capabilities. MoE architecture.
Flagship$0.600$2.40131K
Kimi K2 Flash
Fast Kimi variant. Great price-performance for everyday tasks.
Mid-range$0.150$0.600131K
Moonshot v1 128K
Previous-generation Kimi with 128K context.
Legacy$0.840$3.36131K
Moonshot v1 32K
Budget Kimi variant with 32K context.
Legacy$0.480$1.9233K
Moonshot v1 8K
Lowest-cost Kimi variant for short-context tasks.
Budget$0.240$0.9608K
MiniMax
MiniMax-M2.7
Latest MiniMax model. 1M context, strong multilingual.
Flagship$0.300$1.201.0M
MiniMax-Text-01
Budget MiniMax model. Good for high-volume tasks.
Mid-range$0.100$0.4001.0M
Hailuo 2.3 (Video)
Video generation model. Pricing per second of video.
Video$0.050$0.050—
Speech 2.8
Text-to-speech model with voice cloning.
Speech$0.010$0.000—
Music 2.5
Music generation from text prompts.
Music$0.050$0.000—
Alibaba Cloud (Qwen)
Qwen3 235B-A22B
MoE model. 235B total, 22B active. Top open-source coding model.
Flagship$0.800$1.60128K
Qwen3 32B
Dense 32B model. Great for local deployment.
Mid-range$0.300$0.600128K
Qwen3 14B
Compact model. Runs on consumer GPUs.
Budget$0.150$0.300128K
Qwen3 4B
Small model for edge devices and mobile.
Budget$0.050$0.10033K
Qwen3 1.7B
Ultra-small model. Good for classification and extraction.
Budget$0.010$0.02033K
Qwen3 Coder 480B-A35B
MoE coding specialist. 480B total, 35B active params.
Coding$0.500$1.00256K
Qwen2.5 72B
Previous-generation 72B. Still strong for many tasks.
Legacy$0.400$0.800131K
Qwen2.5-VL 72B
Vision-language model. Image and video understanding.
Multimodal$0.500$1.00131K
Qwen3.6-27B
Dense 27B model for coding, reasoning, and agent workloads.
Mid-range$0.200$0.400131K
Qwen-AgentWorld-35B-A3B
Qwen's language world model that simulates agent environments across MCP, search, terminal, SWE, Android, web, and OS in a single 35B MoE (3B active). Apache 2.0.
Agentic$0.300$1.20262K
NVIDIA
Nemotron 3 Ultra 253B
NVIDIA's flagship MoE model. 253B params, 55B active.
Flagship$0.800$2.40131K
Llama 3.3 70B (NIM)
Meta's Llama 3.3 70B served via NVIDIA NIM.
Hosted$0.700$0.700131K
DeepSeek R1 (NIM)
DeepSeek R1 reasoning model served via NIM.
Hosted$0.880$3.52131K
Qwen 2.5 72B (NIM)
Qwen 2.5 72B served via NVIDIA NIM.
Hosted$0.700$0.700131K
Mistral Small (NIM)
Mistral Small served via NVIDIA NIM.
Hosted$0.200$0.200131K
Ollama
Gemma 4 QAT 32B
Google's latest. 72% less VRAM. Runs on 16GB GPUs.
Featured$0.000$0.000256K
Gemma 4 QAT 14B
Mid-size Gemma 4 QAT. Efficient for 8GB GPUs.
Featured$0.000$0.000128K
Qwen3 235B-A22B
MoE model. 22B active params. Strong coding and reasoning.
Featured$0.000$0.000131K
Qwen3 32B
Best open-source 32B model. Great for local deployment.
Popular$0.000$0.000131K
DeepSeek R1
Open-weight reasoning model. Chain-of-thought included.
Reasoning$0.000$0.000131K
DeepSeek V3
671B MoE model. Top open-source general model.
Popular$0.000$0.00066K
Llama 4 Maverick
Meta's latest MoE. 128 active of 400B params.
Popular$0.000$0.000256K
Llama 3.3 70B
Stable workhorse 70B model for production.
Popular$0.000$0.000131K
Gemma 3 27B
Google's open-weight 27B. Strong for its size.
Popular$0.000$0.000128K
Mistral Small 3.1 24B
Mistral's latest small model. Vision support included.
Popular$0.000$0.000131K
Phi-4 14B
Microsoft's compact reasoning model. Punches above its weight.
Popular$0.000$0.00016K
Command R
Cohere's open-weight RAG model. Built for retrieval.
RAG$0.000$0.000131K
Codestral 22B
Mistral's open-weight coding model. 80+ languages.
Coding$0.000$0.00066K
GLM-4 9B
Zhipu AI's open-weight bilingual model.
Popular$0.000$0.000131K
Llama 3.1 8B
Smallest Llama 3.1. Great for fine-tuning.
Budget$0.000$0.000131K
Gemma 3 4B
Compact Gemma for edge devices.
Budget$0.000$0.000131K
Qwen3 4B
Small Qwen for mobile and edge.
Budget$0.000$0.00033K
SmolLM2 1.7B
HuggingFace's tiny model. Runs on phones.
Edge$0.000$0.0008K
Nomic Embed Text
Open-weight embedding model for search and RAG.
Embedding$0.000$0.0008K
Stable Diffusion 3.5
Open-weight image generation model.
Image$0.000$0.000—
OpenRouter
Claude 4 Opus
Best Claude model. Full power for complex tasks.
Flagship$15.00$75.00200K
Claude 4 Sonnet
Best price-performance Claude.
Popular$3.00$15.00200K
GPT-5.2
Latest GPT model via OpenRouter.
Flagship$2.50$15.00256K
Gemini 2.5 Pro
Google's best model with 1M context.
Popular$1.25$10.001.0M
Gemini 2.5 Flash
Fast, affordable Gemini.
Popular$0.150$0.6001.0M
DeepSeek V4
Incredible price-performance. 1M context.
Popular$0.300$0.6001.0M
o3
OpenAI's reasoning model for hard problems.
Reasoning$10.00$40.00200K
o4-mini
Affordable reasoning model.
Reasoning$1.10$4.40200K
Llama 4 Maverick
Meta's latest open-weight model.
Open Source$0.200$0.600256K
Kimi K2
Moonshot's latest coding model. MoE architecture.
Popular$0.600$2.40131K
Qwen3 235B-A22B
Top open-source MoE model.
Open Source$0.800$1.60128K
Mistral Large
Mistral's most capable model.
Popular$2.00$6.00128K
Grok 3
xAI's flagship with real-time data access.
Popular$3.00$15.00131K
Command A
Cohere's latest model for RAG and enterprise.
RAG$0.950$3.80256K
MiniMax-M2.7
MiniMax with 1M context.
Popular$0.300$1.201.0M
GPT-4.1
Long-context coding model.
Coding$2.00$8.001.0M
GPT-4.1 Mini
Affordable long-context model.
Popular$0.400$1.601.0M
GPT-5 Nano
Ultra-cheap for classification and routing.
Budget$0.050$0.300128K
DeepSeek R1
Open-weight reasoning model.
Reasoning$0.550$2.1964K
Nemotron 3 Ultra 253B
NVIDIA's flagship MoE model.
New$0.800$2.40131K
Together AI
Llama 4 Maverick
Meta's latest MoE on fast serverless inference.
Flagship$0.180$0.5401.0M
Llama 3.3 70B
Stable 70B on fast inference.
Popular$0.880$0.880131K
Qwen3 235B-A22B
Qwen's MoE model on Together.
Popular$0.800$1.60131K
Qwen3 32B
Dense 32B at low cost.
Popular$0.300$0.600131K
DeepSeek R1
DeepSeek reasoning on Together.
Reasoning$0.550$2.19131K
DeepSeek V3
672B MoE at unbeatable pricing.
Popular$0.140$0.28066K
Gemma 3 27B
Google's 27B open-weight on Together.
Popular$0.240$0.240131K
Mistral Small 3.1 24B
Mistral's latest small model.
Popular$0.100$0.100131K
Codestral 22B
Mistral's coding specialist.
Coding$0.150$0.45066K
FLUX.2 Pro
Top open-weight image model. $0.03/MP.
Image$0.030$0.030—
FLUX.2 Dev
Open-weight image generation. Great quality per dollar.
Image$0.010$0.010—
Shanghai AI Laboratory
Atria Dawn Preview
744B MoE agentic model with MIT weights and 1M context. Top scores on BrowseComp (92.5), CyberGym (86.5), AutomationBench (53.8). No API — self-host only. Trained via Verifiable Experience Pipeline.
Open Source——1.0M
Aleph Alpha
Kolibri 1
78B total, 3.46B active. Card validates 1,048,576 tokens and recommends serving at or under 262,144. No public token price. Apache 2.0 weights only.
Open Source——1.0M
Cloudflare
Clef
27B decision model at $0.24 per million input tokens. Scores a typed schema. Does not generate free-form text. No output price published.
Decision$0.240—66K
Clef-flash
9B decision model at $0.09 per million input tokens. Same request schema as Clef. No output price published.
Decision$0.090—66K
Clef-Omni
30B-A3B decision model. Workers AI model page lists $0.15 per million input tokens and no output charge. The pricing table fetched 2026-10-14 did not list this row. Scores a typed schema over text, images, audio, or video. Does not generate free-form text.
Decision$0.150—64K
Perplexity
pplx-decider-v1-27b
27B decision model. Hub record created 2026-10-01 and duplicated from denis-pplx/autojev-27b. No token price or context length on the card.
Decision———

Source: provider pricing pages. Prices are per 1M tokens unless noted. Benchmarks from public leaderboards. Free models ($0) are open-weight — run locally or via hosted platform.