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Reasoning

64 items tagged with "reasoning"

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Models44

Model

GLM-5.3-FlashX

GLM-5.3-FlashX is a Zhipu AI / Z.ai GLM-family hosted language model added to OpenRouter with a 1,048,576-token context window. It is suited for long-context text generation and reasoning workflows.

Model

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is a long-context foundation model from DeepSeek, newly listed on OpenRouter and also present in the Ollama library. It is positioned as a fast general-purpose model with a 1,048,576-token context window.

Model

GPT-6 Astra Pro

GPT-6 Astra Pro is a higher-tier GPT-6 Astra model variant listed on OpenRouter with a 1,050,000-token context window. It appears intended for demanding hosted frontier-model workloads requiring long-context reasoning and advanced agentic capabilities.

Model

Muse Spark 1.3

Muse Spark 1.3 is a Meta hosted foundation model newly added to OpenRouter with a 1,048,576-token context window. It appears to be the next base release in the Muse Spark series, suited for long-context general-purpose generation.

Model

Astra

Astra is an OpenAI frontier model announced as the first OpenAI model to meet the Critical cybersecurity capability threshold under the Preparedness Framework. The announcement emphasizes stronger safeguards for release.

Model

Mercury 2.5 Preview

Mercury 2.5 Preview is a hosted preview model added to OpenRouter under the inception namespace. It provides a large 260k-token context window for long-context text tasks.

Model

Granite 4.2 8B

Granite 4.2 8B is an IBM Granite open-weight foundation model added to OpenRouter with a 131k-token context window. It is also present in the Ollama library as granite4.2 for local deployment.

Model

Ling 3.0 Flash Fin

A newly added hosted Ling 3.0 Flash financial-domain model on OpenRouter with a 262,144-token context window. It appears intended for long-context finance-oriented text generation and analysis tasks.

Model

Qwen3.8-27B

Qwen3.8-27B is a Qwen 3.8 family language model from Alibaba, listed with a 262k-token context window. It appears to be a smaller open-weight member of the Qwen3.8 lineup suitable for general-purpose long-context language tasks.

Model

Gemini 3.7 Flash

Google's Gemini 3.7 Flash is a newly listed hosted model with a 1,048,576-token context window. It appears positioned as a fast long-context Gemini model for general-purpose AI workloads.

Model

Qwen3.8-2.4T-A95B

Qwen3.8-2.4T-A95B is a newly listed Alibaba Qwen model with a 1,010,000-token context window. The name indicates a large mixture-style Qwen model variant intended for high-capacity long-context reasoning and generation.

Model

NVIDIA Nemotron 3.5 Lightning

NVIDIA's Nemotron 3.5 Lightning expands the Nemotron 3 family as an efficient open model for long-running agentic AI workloads.

Model

Qwen3.8 Max

Alibaba’s Qwen3.8 Max is a hosted Qwen model added to OpenRouter with a 1,000,000-token context window. It is positioned for long-context general-purpose language tasks, reasoning, and generation.

Model

Qwen3.7 Flash

Qwen3.7 Flash is a fast hosted Qwen model variant added to OpenRouter with a 1,000,000-token context window. It is suited for long-context text, reasoning, and general assistant workloads where lower latency is important.

Model

Ling 3.0 Flash

Ling 3.0 Flash is a hosted general-purpose language model from InclusionAI, newly listed on OpenRouter with a 262K-token context window. The Flash variant is positioned for fast, long-context chat and reasoning workloads.

Model

Gemini 3.6 Flash

Gemini 3.6 Flash is a Google Gemini model newly added to OpenRouter with a 1,048,576-token context window. It is positioned as a Flash-family hosted model for long-context text generation and reasoning workloads.

Model

GPT-5.6 Luna

OpenRouter-listed GPT-5.6 hosted model variant with a 1,050,000-token context window. It is intended for broad long-context text, coding, and reasoning use cases.

Model

GPT-5.6 Terra Pro

OpenRouter-listed GPT-5.6 hosted model variant with a 1,050,000-token context window. It is a proprietary long-context model for advanced text generation, reasoning, and coding workflows.

Model

GPT-5.6 Terra

OpenRouter-listed GPT-5.6 hosted model variant with a 1,050,000-token context window. It targets long-context general-purpose assistance, reasoning, and code-generation tasks.

Model

Grok 4.5

xAI hosted Grok model newly added on OpenRouter with a 500k-token context window for long-context general AI tasks.

Model

Gemini 3.5

Google’s Gemini 3.5 is a new frontier model series focused on combining strong general intelligence with agentic action/tool use, announced at Google I/O 2026.

Model

Claude Opus 4.7 Fast

A latency-optimised variant of Claude Opus 4.7 with a one-million-token context window, designed for real-time agentic workflows, dependency auditing, and large codebase analysis where Opus-class reasoning is required at lower response times.

Model

GPT-5.5 Instant

An updated default ChatGPT model focused on smarter, more accurate responses with reduced hallucinations and improved personalization controls.

Model

Mistral Medium 3.5

A Mistral AI foundation model newly listed on OpenRouter with a 262k token context window, positioned as a balanced medium-tier model for general purpose generation and reasoning tasks.

Model

Grok 4.3

A new Grok-series flagship model variant listed on OpenRouter with a 1M-token context window, aimed at high-context general reasoning and assistant use.

Model

Qwen3.6 Max (Preview)

A preview flagship Qwen3.6 foundation model variant aimed at strong general-purpose reasoning and instruction following with a large context window.

Model

DeepSeek V4 Pro

DeepSeek’s V4 Pro foundation model listing with a 1M-token context window, intended for long-context reasoning and agentic workloads.

Model

GPT-5.5

OpenAI’s flagship GPT-5.5 model, positioned as faster and more capable for complex tasks like coding, research, and data analysis across tools.

Model

Claude Opus 4.7

A new Claude Opus-series frontier model version listed on OpenRouter with a 1M-token context window, intended for high-end reasoning and long-context workloads.

Model

Qwen3.6 Plus Preview

Preview release of Alibaba's Qwen 3.6 Plus model as listed on OpenRouter, offering a very large context window for general-purpose text tasks.

Model

Mistral Small 2603

A new Mistral Small series release listed on OpenRouter with a 262k context window, positioned as a general-purpose foundation model for long-context workloads.

Model

Grok 4.20 (Beta)

A Grok 4.20 beta model offering a very large (2M token) context window for long-context general-purpose chat and reasoning workloads.

Model

NVIDIA Nemotron 3 Super (120B, A12B)

An open model from NVIDIA designed for scalable agentic AI, described as a 120B-parameter model with 12B active parameters and optimized throughput.

Model

GPT-5.4

OpenAI frontier foundation model positioned as more capable and efficient for professional work, with state-of-the-art coding, computer use, and tool search, plus a 1M-token context window.

Model

GPT-5.4 Pro

Higher-tier GPT-5.4 offering listed by OpenRouter, providing a 1M-token context window for advanced professional and agentic workloads.

Model

Gemini 3.1 Pro Preview (Custom Tools)

A Gemini 3.1 Pro preview variant listed on OpenRouter that is explicitly labeled for custom tools, suggesting enhanced tool-use integration with a very large context window.

Model

Qwen3.5 Flash 02-23

A Qwen3.5 Flash model snapshot (02-23) newly listed on OpenRouter with a 1M-token context window, positioned for fast, long-context inference.

Model

Qwen3.5 122B A10B

A large Qwen3.5 Mixture-of-Experts-style model variant newly added on OpenRouter, offering a large 262k-token context window.

Model

Qwen3.5 35B A3B

A Qwen3.5 model variant newly listed on OpenRouter with a 262k-token context window, intended as a mid-sized foundation option in the Qwen3.5 family.

Model

Qwen3.5 27B

A Qwen3.5 27B foundation model newly added on OpenRouter, providing a 262k-token context window for general assistant workloads.

Model

GPT-5.3 Codex

A new Codex-branded GPT-5.3 model intended for code-centric use cases, listed as newly added on OpenRouter with a large context window.

Model

Gemini 3.1 Pro Preview

Preview release of Google's Gemini 3.1 Pro model with a very large context window, aimed at advanced general-purpose reasoning and long-context workloads.

Model

Qwen3.5-Plus-02-15

Alibaba Qwen 3.5 'Plus' model variant as listed on OpenRouter, featuring a 1M-token context window for long-context general-purpose generation and analysis.

Model

Qwen3.5-397B-A17B

Large-scale Qwen 3.5 model (397B with A17B MoE-style routing indicated by the name) added on OpenRouter, intended for high-end reasoning and generation with a 262K context window.

Benchmarks19

Benchmark

MMLU-Pro

A harder, reasoning-focused successor to MMLU with ten answer options and tougher questions designed to separate frontier models that saturated the original.

Benchmark

GSM8K (Grade School Math 8K)

A benchmark of ~8,500 grade-school math word problems that test multi-step arithmetic reasoning with a single numeric answer.

Benchmark

MATH (Competition Mathematics)

A benchmark of 12,500 competition-style math problems across algebra, geometry, number theory, and calculus, graded on exact final-answer match.

Benchmark

BIG-bench (Beyond the Imitation Game)

A collaborative suite of 200+ diverse tasks probing reasoning, knowledge, and emergent abilities beyond conventional language benchmarks.

Benchmark

BBH (BIG-bench Hard)

A 23-task subset of BIG-bench focused on challenging multi-step reasoning where chain-of-thought prompting yields large gains.

Benchmark

HellaSwag

A commonsense sentence-completion benchmark where models pick the most plausible continuation among adversarially generated distractors.

Benchmark

ARC (AI2 Reasoning Challenge)

A grade-school science question benchmark split into Easy and Challenge sets, the latter built from questions retrieval methods answer incorrectly.

Benchmark

GPQA (Graduate-Level Google-Proof Q&A)

A benchmark of expert-written, graduate-level science questions designed to be extremely hard even with web access, testing deep domain reasoning.

Benchmark

MMMU (Massive Multi-discipline Multimodal Understanding)

A multimodal benchmark of college-level questions requiring joint reasoning over text and images such as diagrams, charts, and figures.

Benchmark

DROP (Discrete Reasoning Over Paragraphs)

A reading-comprehension benchmark requiring discrete operations like addition, counting, sorting, and comparison over passage content.

Benchmark

WinoGrande

A large-scale commonsense benchmark of pronoun-resolution sentence pairs designed to require world knowledge rather than lexical cues.

Benchmark

AGIEval

A benchmark built from human standardized exams such as college entrance, law, and civil-service tests to measure human-centric reasoning.

Benchmark

AIME (Competition Math Benchmark)

An olympiad-level math benchmark using American Invitational Mathematics Examination problems with integer answers, a key frontier reasoning test.

Benchmark

MGSM (Multilingual Grade School Math)

A multilingual extension of grade-school math word problems that tests whether LLMs can reason through arithmetic in many languages, not just English.

Benchmark

FRAMES (Factuality, Retrieval, And reasoning MEasurement Set)

A benchmark for retrieval-augmented generation that tests end-to-end factuality, multi-document retrieval, and multi-hop reasoning on questions needing several sources.

Benchmark

MuSR (Multistep Soft Reasoning)

A benchmark of long natural-language narratives requiring multistep commonsense and logical reasoning, such as murder mysteries and object-placement puzzles.

Benchmark

LiveBench

A contamination-resistant benchmark that continuously refreshes questions from recent sources and grades automatically against objective ground truth across many task categories.

Benchmark

CRUXEval (Code Reasoning, Understanding, and Execution)

A benchmark that tests whether models can reason about code execution by predicting function inputs from outputs and outputs from inputs.

Benchmark

ChartQA

A benchmark for answering questions about charts and plots that require visual data extraction plus arithmetic and logical reasoning over the extracted values.