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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
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
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
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
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
tencentListed Aug 20

Tencent: Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based,…

8.2K context1.8BOpen weightsNo reported score
No reported score
tencentListed Aug 20

Tencent: Hy-MT2-30B-A3B

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured,…

8.2K context30BStructured outputOpen weightsNo reported score
No reported score
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
$0.079in$1.40out/ 1M tokens · USDOpenRouter
tencentListed Aug 19

Tencent: Hy-MT2-7B

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual,…

8.2K context7BStructured outputOpen weightsNo reported score
No reported score
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
liquidListed Aug 18

LiquidAI: LFM2.5-Embedding-350M (free)

LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and…

512 contextOpen weightsNo reported score
No reported score
$0.00in$0.00out/ 1M tokens · USDOpenRouter
googleListed Aug 13

Google: Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

1M contextImage inputAudio inputNo reported score
No reported score
googleListed Aug 13

Google: Gemini 3.7 Flash (batch)

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

1M contextImage inputAudio inputNo reported score
No reported score
voyageaiListed Aug 13

VoyageAI by MongoDB: voyage-code-4

voyage-code-4 is a code embedding model from Voyage AI, a MongoDB company. It is designed for coding agents and code retrieval, with Matryoshka embeddings at 2048, 1024, 512, and 256...

32K contextNo reported score
No reported score
$0.12in$0.00out/ 1M tokens · USDOpenRouter
bytedance-seedListed Aug 12

ByteDance Seed: Seed 2.1 Turbo

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and understanding visual and...

262.1K contextImage inputVideo inputNo reported score
No reported score