AI Models

Anthropic: Claude Fable Latest

~anthropic/claude-fable-latest

Vision

This model always redirects to the latest model in the Claude Fable family.

Input

165 100/M so'm

$13.00

Output

825 500/M so'm

$65.00

data_array 1,000K context

Anthropic: Claude Opus Latest

~anthropic/claude-opus-latest

Vision

This model always redirects to the latest model in the Claude Opus family.

Input

82 550/M so'm

$6.50

Output

412 750/M so'm

$32.50

data_array 1,000K context

Baidu: ERNIE 4.5 VL 424B A47B

baidu/ernie-4.5-vl-424b-a47b

Vision

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

Input

6 934/M so'm

$0.55

Output

20 638/M so'm

$1.63

data_array 131K context

ByteDance Seed: Seed 1.6

bytedance-seed/seed-1.6

Vision

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

Input

4 128/M so'm

$0.33

Output

33 020/M so'm

$2.60

data_array 262K context

ByteDance Seed: Seed 1.6 Flash

bytedance-seed/seed-1.6-flash

Vision

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate outputs of...

Input

1 238/M so'm

$0.10

Output

4 953/M so'm

$0.39

data_array 262K context

ByteDance Seed: Seed-2.0-Lite

bytedance-seed/seed-2.0-lite

Vision

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practical default choice for most production workloads across...

Input

4 128/M so'm

$0.33

Output

33 020/M so'm

$2.60

data_array 262K context

ByteDance: UI-TARS 7B

bytedance/ui-tars-1.5-7b

Vision

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

Input

1 651/M so'm

$0.13

Output

3 302/M so'm

$0.26

data_array 128K context

Free Models Router

openrouter/free

free_breakfast Free Vision

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for models that...

Input

Free

Output

Free

data_array 200K context

Google Gemini Flash Latest

~google/gemini-flash-latest

Vision

This model always redirects to the latest model in the Google Gemini Flash family.

Input

24 765/M so'm

$1.95

Output

148 590/M so'm

$11.70

data_array 1,049K context

Google Gemini Pro Latest

~google/gemini-pro-latest

Vision

This model always redirects to the latest model in the Google Gemini Pro family.

Input

33 020/M so'm

$2.60

Output

198 120/M so'm

$15.60

data_array 1,049K context

MiniMax: MiniMax M3

minimax/minimax-m3

Vision

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

Input

4 953/M so'm

$0.39

Output

19 812/M so'm

$1.56

data_array 1,049K context

MiniMax: MiniMax-01

minimax/minimax-01

Vision

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

Input

3 302/M so'm

$0.26

Output

18 161/M so'm

$1.43

data_array 1,000K context

Mistral: Ministral 3 14B 2512

mistralai/ministral-14b-2512

Vision

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...

Input

3 302/M so'm

$0.26

Output

3 302/M so'm

$0.26

data_array 262K context

Mistral: Ministral 3 3B 2512

mistralai/ministral-3b-2512

Vision

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

Input

1 651/M so'm

$0.13

Output

1 651/M so'm

$0.13

data_array 131K context

Mistral: Ministral 3 8B 2512

mistralai/ministral-8b-2512

Vision

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

Input

2 477/M so'm

$0.20

Output

2 477/M so'm

$0.20

data_array 262K context

Mistral: Mistral Large 3 2512

mistralai/mistral-large-2512

Vision

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Input

8 255/M so'm

$0.65

Output

24 765/M so'm

$1.95

data_array 262K context

Mistral: Mistral Medium 3.1

mistralai/mistral-medium-3.1

Vision

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

Input

6 604/M so'm

$0.52

Output

33 020/M so'm

$2.60

data_array 131K context

Mistral: Mistral Medium 3.5

mistralai/mistral-medium-3-5

Vision

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...

Input

24 765/M so'm

$1.95

Output

123 825/M so'm

$9.75

data_array 262K context

Mistral: Mistral Small 3.2 24B

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

Vision

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...

Input

1 238/M so'm

$0.10

Output

3 302/M so'm

$0.26

data_array 128K context

MoonshotAI Kimi Latest

~moonshotai/kimi-latest

Vision

This model always redirects to the latest model in the MoonshotAI Kimi family.

Input

10 897/M so'm

$0.86

Output

56 299/M so'm

$4.43

data_array 262K context

MoonshotAI: Kimi K2.5

moonshotai/kimi-k2.5

Vision

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...

Input

6 191/M so'm

$0.49

Output

33 433/M so'm

$2.63

data_array 262K context

MoonshotAI: Kimi K2.6

moonshotai/kimi-k2.6

Vision

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

Input

10 897/M so'm

$0.86

Output

56 299/M so'm

$4.43

data_array 262K context

MoonshotAI: Kimi K2.7 Code

moonshotai/kimi-k2.7-code

Vision

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

Input

10 104/M so'm

$0.80

Output

50 669/M so'm

$3.99

data_array 262K context

Nex AGI: Nex-N2-Pro

nex-agi/nex-n2-pro

Vision

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...

Input

8 255/M so'm

$0.65

Output

41 275/M so'm

$3.25

data_array 262K context