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nousresearchListed Aug 26
Nous: Hermes 4 405B
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...
131.1K context405BStructured outputReasoningNo reported score
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deepseek-aiListed Aug 21
DeepSeek-V3.1
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in…
163.8K contextTool callingStructured outputNo reported score
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mistralaiListed Aug 13
Mistral: Mistral Medium 3.1
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational…
131.1K contextImage inputTool callingNo reported score
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mistralaiListed Aug 13
Mistral: Mistral Medium 3.1 (batch)
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational…
131.1K contextImage inputTool callingNo reported score
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fal-aiListed Aug 11
Wan 2.2 14B Image Trainer
Wan 2.2 text to image LoRA trainer. Fine-tune Wan 2.2 for subjects and styles with unprecedented detail.
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z-aiListed Aug 10
Z.ai: GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves…
65.5K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction…
400K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5 (batch)
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction…
400K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5 Mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
400K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5 Mini (batch)
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....
400K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its…
400K contextImage inputTool callingNo reported score
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openaiListed Aug 7
OpenAI: GPT-5 Nano (batch)
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its…
400K contextImage inputTool callingNo reported score
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openaiListed Aug 5
OpenAI: gpt-oss-120b (batch)
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. It activates 5.1B…
131.1K contextTool callingStructured outputNo reported score
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$0.0296in$0.136out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
openaiListed Aug 5
OpenAI: gpt-oss-20b (batch)
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 contextTool callingStructured outputNo reported score
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$0.024in$0.112out/ 1M tokens · USDDeepInfra · via OpenRouter · 2 endpointsdeepinfra/bf16 · quantization=bf16
anthropicListed Aug 5
Anthropic: Claude Opus 4.1
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
200K contextImage inputTool callingNo reported score
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anthropicListed Aug 5
Anthropic: Claude Opus 4.1 (batch)
Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...
200K contextImage inputTool callingNo reported score
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