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Showing 25–48 of 135
- 0.681score
MiniMax M2.7
MiniMax
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
ModelAFreshness: A$0.3 / $1.2205K ctxOpen weights - 0.681score
needle3
Cactus-Compute
Open-weights text model from Cactus-Compute on Hugging Face (apache-2.0).
ModelAFreshness: AOpen weights - 0.681score
Qwen2.5 72B Instruct
Qwen (Alibaba)
Qwen2.5 72B is the latest series of Qwen large language models.
ModelAFreshness: A$0.36 / $0.433K ctxOpen weights - 0.681score
Qwen2.5 7B Instruct
Qwen (Alibaba)
Qwen2.5 7B is the latest series of Qwen large language models.
ModelAFreshness: A$0.1 / $0.233K ctxOpen weights - 0.681score
Qwen3 14B
Qwen (Alibaba)
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue.
ModelAFreshness: A$0.12 / $0.2441K ctxOpen weights - 0.681score
Qwen3 235B A22B Instruct 2507
Qwen (Alibaba)
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active…
ModelAFreshness: A$0.09 / $0.55262K ctxOpen weights - 0.681score
Qwen3 30B A3B
Qwen (Alibaba)
Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning…
ModelAFreshness: A$0.12 / $0.541K ctxOpen weights - 0.681score
Qwen3 30B A3B Instruct 2507
Qwen (Alibaba)
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
ModelAFreshness: A$0.1 / $0.3262K ctxOpen weights - 0.681score
Qwen3 32B
Qwen (Alibaba)
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.
ModelAFreshness: A$0.08 / $0.28131K ctxOpen weights - 0.681score
Qwen3 Coder 30B A3B Instruct
Qwen (Alibaba)
Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code…
ModelAFreshness: A$0.07 / $0.28262K ctxOpen weights - 0.681score
Qwen3 Coder Next
Qwen (Alibaba)
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
ModelAFreshness: A$0.12 / $0.8262K ctxOpen weights - 0.681score
Qwen3 Next 80B A3B Instruct
Qwen (Alibaba)
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces.
ModelAFreshness: A$0.09 / $1.1262K ctxOpen weights - 0.681score
R1 0528
DeepSeek
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open…
ModelAFreshness: A$0.5 / $2.15164K ctxOpen weights - 0.681score
Step 3.5 Flash
StepFun
Step 3.5 Flash is StepFun's most capable open-source foundation model.
ModelAFreshness: A$0.1 / $0.3262K ctxOpen weights - 0.675score
DeepSeek V3
DeepSeek
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions.
ModelAFreshness: A$0.257 / $1.03164K ctxOpen weights - 0.641score
MiniCPM5-1B
openbmb
Open-weights 1.08B-parameter text model from openbmb on Hugging Face (apache-2.0).
ModelBFreshness: BOpen weights - 0.641score
Qwen3.8-4B-Distill
empero-ai
Open-weights 4.66B-parameter text model from empero-ai on Hugging Face (apache-2.0).
ModelBFreshness: BOpen weights - 0.629score
gpt-oss-120b
OpenAI
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…
ModelAFreshness: A$0.15 / $0.6131K ctxOpen weights - 0.629score
gpt-oss-20b
OpenAI
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.
ModelAFreshness: A$0.018 / $0.09131K ctxOpen weights - 0.600score
Nemotron 3 Nano 30B A3B
NVIDIA
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI…
ModelAFreshness: A$0.06 / $0.24262K ctxOpen weights - 0.600score
Nemotron 3 Ultra
NVIDIA
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE).
ModelAFreshness: A$0.6 / $2.4262K ctxOpen weights - 0.600score
Nemotron 3.5 Lightning
NVIDIA
NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total.
ModelAFreshness: A$0.07 / $0.2262K ctxOpen weights - 0.592score
DeepSeek V3.2 Exp
DeepSeek
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.
ModelAFreshness: A$0.27 / $0.41164K ctxOpen weights - 0.592score
GLM 4.6
Z.ai
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens…
ModelAFreshness: A$0.55 / $2.2205K ctxOpen weights