AI Models Directory

OpenRouter-style model index with deep metadata: pricing, context windows, architecture, and parameters.

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Showing 166 - 180 of 235 matching models from 548 total for query "reasoning"

Openrouter
Budget tiertext + image -> text

Free Models Router

Long context

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

Long contextReasoningTool calling
Context200K
Input$0.00 / 1M
Output$0.00 / 1M
Perplexity
Standard tiertext -> text

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics.

Long contextReasoningConfigurable API
Context128K
Input$2.00 / 1M
Output$8.00 / 1M
Perplexity
Standard tiertext + image -> text

Note: Sonar Pro pricing includes Perplexity search pricing.

Long contextVisionConfigurable API
Context200K
Input$3.00 / 1M
Output$15.00 / 1M
Perplexity
Standard tiertext + image -> text

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system.

Long contextReasoningVision
Context200K
Input$3.00 / 1M
Output$15.00 / 1M
Perplexity
Standard tiertext + image -> text

Note: Sonar Pro pricing includes Perplexity search pricing.

Long contextReasoningVision
Context128K
Input$2.00 / 1M
Output$8.00 / 1M
Prime Intellect
Budget tiertext -> text

INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement...

Long contextReasoningTool calling
Context131K
Input$0.20 / 1M
Output$1.10 / 1M
Qwen
Budget tiertext -> text

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

1M+ contextTool callingBudget input
Context1M
Input$0.26 / 1M
Output$0.78 / 1M
Qwen
Budget tiertext -> text

Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.

1M+ contextReasoningTool calling
Context1M
Input$0.26 / 1M
Output$0.78 / 1M
Qwen
Budget tiertext + image -> text

Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving...

Long contextVisionBudget input
Context128K
Input$0.20 / 1M
Output$0.60 / 1M
Qwen
Budget tiertext -> text

Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass.

Long contextReasoningTool calling
Context131K
Input$0.46 / 1M
Output$1.82 / 1M
Qwen
Budget tiertext -> text

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass.

Long contextReasoningTool calling
Context262K
Input$0.07 / 1M
Output$0.10 / 1M
Qwen
Budget tiertext -> text

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks.

Long contextReasoningTool calling
Context131K
Input$0.15 / 1M
Output$1.50 / 1M
Qwen
Budget tiertext -> text

Qwen: Qwen3 30B A3B

Standard context

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support,...

ReasoningTool callingBudget input
Context41K
Input$0.08 / 1M
Output$0.28 / 1M
Qwen
Budget tiertext -> text

Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking.

Long contextReasoningTool calling
Context131K
Input$0.08 / 1M
Output$0.40 / 1M
Qwen
Budget tiertext -> text

Qwen: Qwen3 4B (free)

Standard context

Qwen3-4B is a 4 billion parameter dense language model from the Qwen3 series, designed to support both general-purpose and reasoning-intensive tasks.

ReasoningTool callingBudget input
Context41K
Input$0.00 / 1M
Output$0.00 / 1M