AI Models

Explore and compare the most powerful AI models available today

334 models tracked58 providers292 LMArena-rankedspec data verified through Nov 3, 2026

Quality vs Price

The highest LMArena Elo reached in each band of API input price (USD per million tokens). Only models with both a published price and an Elo are counted.

1480
Under $0.50MiMo V2.6 Pro95 models
1496
$0.50–1Gemini 3.8 Flash28 models
1528
$1–2Gemini 4 Carbon47 models
1509
$2–5Claude Opus 5.527 models
1504
$5–10Claude Fable 5.13 models
1448
$10+Claude Opus 4.15 models

Bars start at 1410 Elo so the gaps between bands are visible. Bar colour is the model maker's logo colour.

Mistral Large 4

Mistral · Coding

Mistral Large 4 is a natively multimodal model from Mistral, released as a public preview on October 6, 2026, with 1 trillion total and 52 billion active parameters and a 1M-token context window. Mistral says the weights will be released by the end of October 2026; the preview API is priced at $1.36 per million input tokens and $4.18 per million output tokens.

Gemini Nano Banana 2.1

Google · Image Generation

Gemini Nano Banana 2.1 (gemini-nano-banana-2.1) is Google's image generation and conversational editing model, generally available in the Gemini API since October 6, 2026. Google describes it as an update to Nano Banana 2 (Gemini 3.1 Flash Image) with improved visual quality, prompt adherence, multi-turn character consistency and text rendering, at 1K, 2K and 4K, including wide and panoramic aspect ratios such as 1:4, 4:1, 1:8 and 8:1. It takes text, images, video and PDFs and returns images and text. On the paid tier an output image costs about $0.034 at 1K, $0.050 at 2K and $0.113 at 4K.

Beam 1.0

Reflection AI · Coding

Reflection AI’s Beam 1.0, its first open-weight model, announced on 5 October 2026: a sparse mixture-of-experts model with 501 billion total and 23 billion active parameters and a 1-million-token context window, built for coding, reasoning and agentic tasks. It takes and returns text, ships in BF16, FP8 and NVFP4, and is released under Apache 2.0. Reflection serves it through its own API and its Mirror coding agent; it has not published a per-token price.

FLUX 3 Image

Black Forest Labs · Image Generation

Black Forest Labs' FLUX 3 Image, released on October 1, 2026 through the BFL API. One endpoint generates images from text, edits specific parts of an image, and combines up to ten reference images; bounding boxes in the prompt place each element, and by default it searches the web to get real things right. Output goes up to 4K (about 16 megapixels) at 15 aspect ratios, priced per image from $0.041 at 768 × 768 to $0.607 at 4K. It is not open weights; the open-weights member of the family is FLUX 3 Image Klein.

Gemini 4 Argon

Google · Coding

Google's Gemini 4 Argon, announced on September 30, 2026 and generally available in the Gemini API since October 13, 2026. Google describes it as its flagship reasoning model, for complex software engineering, maths and science problems, autonomous multi-step agents, and long-decode generation of up to 1M tokens. It has a 1,048,576-token context window shared by input and output, and returns up to 65,536 tokens by default or up to 1,048,576 with long decode. It takes text, images, video, audio and PDFs and returns text. On the paid API tier it costs $2 per million input tokens and $10 per million output tokens through November 30, 2026, then $4 and $20; it is not on the free tier. Google AI Pro and Ultra subscribers can use it in the Gemini app and AI Mode in Search, and Ultra subscribers in Google Antigravity.

GPT-6.1 Sol

OpenAI · Coding

OpenAI model released September 29, 2026 for coding, computer use and professional work. OpenAI reports near-Astra performance on selected evaluations. Supports text and image input, text output, a 1,050,000-token context window and 128,000-token maximum output. Reasoning effort ranges from low to max, with medium as the default. Use Responses for tool calling; Chat Completions supports requests without tool calls. Available in the API, ChatGPT Work and Codex; not in Chat at launch.

Claude Sonnet 5.5

Anthropic · Coding

Anthropic model released September 28, 2026, positioned as the balance of speed and intelligence in the Claude lineup. Anthropic says it runs more than 30% faster than Claude Sonnet 5 and costs up to 30% less for most work, at the same $2 / $10 per million tokens. It takes text and image input, has a 1M-token context window and 128K-token maximum output, uses adaptive thinking with high effort by default, and supports tool use and computer use.

MiMo V2.6 Flash

Xiaomi · Coding

MiMo V2.6 Flash is the smaller model in Xiaomi's MiMo V2.6 series, announced on September 22, 2026 with open weights under the MIT licence. It is a mixture-of-experts model with 309 billion total and 15 billion active parameters, a 1M-token context window, and text, image, video and audio input. Xiaomi lists API pricing of $0.14 per million input tokens and $0.28 per million output tokens.

MiMo V2.6 Pro

Xiaomi · Coding

MiMo V2.6 Pro is Xiaomi's model announced on September 22, 2026, released with open weights under the MIT licence. It is a mixture-of-experts model with 1.02 trillion total and 42 billion active parameters, a 1M-token context window, and text, image, video and audio input. Xiaomi lists API pricing of $0.435 per million input tokens and $0.87 per million output tokens.

GPT-6 Luna

OpenAI · Coding

An OpenAI sixth-generation model released 22 September 2026 as gpt-6-luna, alongside GPT-6 Sol. OpenAI describes it as its most efficient model for focused, high-volume tasks, priced 50% below GPT-5.6 Luna's promotional pricing. It takes text and image input and returns text, with a 1,050,000 token context window, 128,000 maximum output tokens and an 18 May 2026 knowledge cutoff. Reasoning effort can be set to none, low, medium (the default), high, xhigh or max. Available in the API and in ChatGPT Work and Codex; OpenAI says Free and Go users can reach it in the desktop app.

GPT-6 Sol

OpenAI · Coding

GPT-6 Sol (gpt-6-sol) is an OpenAI model released on September 22, 2026 alongside GPT-6 Luna; OpenAI describes it as built for complex coding and agentic workflows and priced 50% below GPT-5.6 Sol's promotional pricing. It takes text and image input and returns text, with a 1.05M-token context window and 128,000 maximum output tokens, and is listed at $2 per million input tokens and $10 per million output tokens. It is available in the API, and in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users. OpenAI's model page now points to GPT-6.1 Sol as the newer Sol model and lists GPT-6 Sol under "More models".

Claude Opus 5.5

Anthropic · Coding

Claude Opus 5.5 (claude-opus-5-5) is the first Claude 5.5 model, released by Anthropic on September 22, 2026; Anthropic describes it as built for long-running agentic coding and knowledge work and states it costs 40% less to run than Claude Opus 5 on typical workloads. It takes text and image input and returns text, with a 1M-token context window, 128K maximum output, a June 2026 knowledge cutoff, and adaptive thinking that is always on, its depth set by the effort parameter (default medium). Anthropic lists pricing of $4 per million input tokens and $20 per million output tokens, on the Claude API, Amazon Bedrock, Claude Platform on AWS, Google Cloud and Microsoft Foundry. Anthropic released Claude Sonnet 5.5 on September 28, 2026 and Claude Haiku 5.5 on October 7, 2026.

Showing 13–24 of 334 models

Frequently asked questions

Where do the scores on this site come from?+

Every score is somebody else’s published measurement, named where it appears. Rankings are LMArena Elo - a blind head-to-head human preference rating, shown with the date it was read. Benchmark percentages come from Epoch AI and from each benchmark’s own leaderboard. This site no longer publishes a score of its own: an editorial 0-100 index sat here until 13 September 2026 and was removed, because an opinion rendered as a number is hard to tell from a measurement.

Where does the pricing and spec data come from?+

Pricing, context windows and capability specs are read from each vendor's own documentation rather than aggregators. Every model page links the source it was read from and shows when the figures were last checked, so you can verify them yourself.

How do I compare two or more models?+

Use the compare icon on any model card to build a side-by-side comparison, or open one of the category comparisons under Comparisons. The spec table has presets (best value, cheapest, heavy workload) and a "differences only" view that hides rows where all selected models are identical.

Which AI model should I choose?+

It depends on your workload and budget, which is why this page plots quality against price. High-volume, cost-sensitive tasks usually favor cheaper models near the top-left of the value map; complex agentic or coding work tends to justify frontier-priced models. The editorial guide on each model page covers the trade-offs in detail.