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zai-orgListed Jun 16

GLM-5.2

GLM-5.2 is Z-AI's latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on…

1M contextTool callingStructured outputNo reported score
No reported score
$1.54in$4.84out/ 1M tokens · USDExperientialStandard list rate
moonshotaiListed Jun 11

MoonshotAI: Kimi K2.7 Code

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…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.67in$3.40out/ 1M tokens · USDExperientialStandard list rate
deepseek-aiListed Apr 22

DeepSeek-V4-Pro

DeepSeek V4 Pro is an MoE model with 1.6T total parameters (49B active) and a 1M-token context window. It's built for advanced reasoning, coding, and long-running agent tasks, and performs well on…

1M contextTool callingStructured outputNo reported score
No reported score
$1.74in$3.48out/ 1M tokens · USDExperientialStandard list rate
deepseek-aiListed Apr 22

DeepSeek-V4-Flash

DeepSeek V4 Flash is an efficiency-focused MoE model with 284B total parameters (13B active) and a 1M-token context window. It's tuned for fast inference and high-throughput use cases while still holding up…

1M contextTool callingStructured outputNo reported score
No reported score
$0.19in$0.51out/ 1M tokens · USDExperientialStandard list rate
moonshotaiListed Apr 14

MoonshotAI: Kimi K2.6

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…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.95in$4.00out/ 1M tokens · USDExperientialStandard list rate
z-aiListed Apr 3

Z.ai: GLM 5.1

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.966in$3.036out/ 1M tokens · USDExperientialStandard list rate
z-aiListed Feb 11

Z.ai: GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on…

204.8K contextTool callingStructured outputNo reported score
No reported score
$1.00in$3.20out/ 1M tokens · USDExperientialStandard list rate
moonshotaiListed Jan 1

MoonshotAI: Kimi K2.5

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…

262.1K contextImage inputTool callingNo reported score
No reported score
$0.60in$3.00out/ 1M tokens · USDExperientialStandard list rate
zai-orgListed Dec 22

GLM-4.7

GLM-4.7 is a state-of-the-art, multilingual Mixture-of-Experts (MoE) language model designed for complex reasoning, agentic coding, and tool use. Building on its predecessor GLM-4.6, it delivers significant…

204.8K contextTool callingStructured outputNo reported score
No reported score
$0.60in$2.20out/ 1M tokens · USDExperientialStandard list rate
z-aiListed Dec 7

Z.ai: GLM 4.6V

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex…

131.1K contextImage inputVideo inputNo reported score
No reported score
$0.30in$0.90out/ 1M tokens · USDExperientialStandard list rate
deepseek-aiListed Dec 1

DeepSeek-V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.58in$1.68out/ 1M tokens · USDExperientialStandard list rate
moonshotaiListed Nov 6

MoonshotAI: Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE)…

262.1K contextTool callingStructured outputNo reported score
No reported score
$0.60in$2.50out/ 1M tokens · USDExperientialStandard list rate
deepseekListed Sep 29

DeepSeek: DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained…

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.27in$0.41out/ 1M tokens · USDExperientialStandard list rate
openaiListed Sep 18

OpenAI: gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content…

131.1K context20BTool callingStructured outputNo reported score
No reported score
$0.07in$0.20out/ 1M tokens · USDExperientialStandard list rate
openaiListed Aug 4

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for…

131.1K context20BTool callingStructured outputNo reported score
No reported score
$0.61in$2.94out/ 1M tokens · USDExperientialStandard list rate
openaiListed Aug 4

gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. The model supports…

131.1K context120BTool callingStructured outputNo reported score
No reported score
$0.15in$0.60out/ 1M tokens · USDExperientialStandard list rate
deepseekListed May 28

DeepSeek: R1 0528

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...

163.8K contextTool callingStructured outputNo reported score
No reported score
$0.50in$2.15out/ 1M tokens · USDExperientialStandard list rate
deepseekListed Jan 20

DeepSeek: R1

DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

163.8K contextTool callingStructured outputNo reported score
No reported score
$1.35in$5.40out/ 1M tokens · USDExperientialStandard list rate