Discover 467 AI Models Perfect for Your Next Project
Browse 467 model records and 15 task categories. Review each model’s inputs, provider details and usage terms before choosing.
All AI Models
Browse model descriptions, inputs, examples and provider information.
Page 38 of 39 · Models 445–456 of 467
mistral-large-4
Mistral Large 4 is a multimodal open-weight model with 1M context, hosted API access and released FP8/NVFP4 checkpoints.
google/embeddinggemma-2
Google’s open 740M model for local text, image, video and audio embeddings.
claude-haiku-5-5
Anthropic's fast model for classification, extraction and subagent work, with prompt-length-based pricing.
muse-wonder-1.0
Meta's October 12 model for long-running agents, with API access distinct from the subscription-only Full variant.
gemini-4-argon
Google's frontier model with October 13 paid API and Pro/Ultra app rollout; Fairwind cyber access remains separate.
qwen-image-2.1-turbo
Qwen's October 9 eight-step image checkpoint, with transparent-image editing and research-only weight terms.
elorian/glimpse
Check Glimpse’s image/video inputs, hosted API ID, token prices and different OpenRouter and AI Gateway limits. Research-preview model from Elorian.
meta/muse-spark-open
Check Meta's Muse Spark Open weights, license, hardware and OpenRouter API. Compare provider-specific token limits and conditional commercial terms.
reflection/Beam-1.0-501B-A23B
Reflection Beam is an open-weight text reasoning model with 501.3B total and 23.4B active parameters. Compare 1M context, Apache 2.0 terms and checkpoints.
MiniMax-M3.1-Flash
MiniMax M3.1 Flash is a hosted reasoning model with 1M context. Compare API token rates, M Plan and MiniMax Code access; weights remain a separate milestone.
nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16
Nemotron 3.5 Super VL has 120B total and 12B active parameters with up to 1M context. Compare multimodal inputs, OpenMDW terms and hardware requirements.
nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB
Nemotron 3.5 Bolt is a 74B-total, 9B-active multimodal model with up to 256K context. Compare BF16 and native 2-bit 24GB weights and memory requirements.
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