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489 models · Reasoning · newest firstPage 4 / 21

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openaiListed Sep 4

OpenAI: GPT-6 Astra Pro

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDOpenAI · via OpenRouter · 7 endpointsopenai/flex · tier=flex · prompt ≤ 272000 tokens
openaiListed Sep 4

OpenAI: GPT-6 Astra Pro (batch)

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, served with reasoning.mode set to pro for higher-quality responses on complex tasks. Cost note: pro mode spends far more...

1.1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDOpenAI · via OpenRouter · 2 endpointsopenai · prompt ≤ 272000 tokens
inclusionAIListed Sep 4

Ling-3.0-flash-VL

The multimodal version built on Ling-3.0-flash — 124B total / ~5.5B active per token, with native text, image, and video understanding. It’s mainly designed for multimodal agentic workflows, long-context…

262.1K contextImage inputVideo inputNo reported score
No reported score
$0.06in$0.18out/ 1M tokens · USDdeepinfra · via Hugging Face · 5 endpoints
qwenListed Sep 3

Qwen: Qwen3.8 Max (0902)

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

1M contextImage inputVideo inputNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDAlibaba · via OpenRouter · 3 endpointsalibaba/us-east-1
metaListed Sep 2

Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is…

1M contextImage inputVideo inputNo reported score
No reported score
$0.10in$0.20out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
metaListed Sep 2

Meta: Muse Spark 1.3

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...

1M contextImage inputVideo inputNo reported score
No reported score
$1.25in$4.25out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
googleListed Sep 2

Google: Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 9 endpointsgoogle-vertex/global/flex · tier=flex
googleListed Sep 2

Google: Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1M contextImage inputAudio inputNo reported score
No reported score
$0.375in$1.875out/ 1M tokens · USDGoogle · via OpenRouter · 2 endpointsgoogle-vertex/global
anthropicListed Sep 1

Anthropic: Claude Fable 5.1 (batch)

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...

1M contextImage inputTool callingNo reported score
No reported score
$5.00in$25.00out/ 1M tokens · USDAnthropic · via OpenRouter · 2 endpointsanthropic
tencentListed Aug 27

Hy4-preview

Hy4 preview is a 770B-parameter Mixture-of-Experts flagship model from the Tencent Hy Team, with 49B parameters activated per token and a 1M-token context window. It uses Gated DeepSeek Sparse Attention…

1M contextTool callingStructured outputNo reported score
No reported score
$0.834in$2.501out/ 1M tokens · USDdeepinfra · via Hugging Face · 8 endpoints
z-aiListed Aug 26

Z.ai: GLM 5.3 Flash (batch)

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…

1M contextImage inputVideo inputNo reported score
No reported score
$0.05in$0.18out/ 1M tokens · USDSail Research · via OpenRouter · 3 endpointssail-research/fp4 · quantization=fp4
zai-orgReleased Aug 26

GLM-5.3-Flash

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context…

1M contextImage inputVideo input
$0.048in$0.20out/ 1M tokens · USDOpenInference · via OpenRouter · 46 endpointsopen-inference/fp4 · quantization=fp4
metaListed Aug 21

Meta: Muse Spark 1.2 Contributor

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

1M contextImage inputVideo inputNo reported score
No reported score
$0.10in$0.20out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
z-aiListed Aug 19

Z.ai: GLM Latest

This model always redirects to the latest GLM model from Z.ai.

1M contextTool callingStructured outputNo reported score
No reported score
$0.075in$2.20out/ 1M tokens · USDOpenRouter
z-aiListed Aug 18

Z.ai: GLM 5.3 (batch)

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

1M contextTool callingStructured outputNo reported score
No reported score
$0.45in$2.00out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/fp4 · quantization=fp4