Providers
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
The model record exists, but no source-linked provider offer is available yet.
Submit a sourceRecorded from the source catalog and provider listings.
meta-llama/llama-4-maverickEvery result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.
Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.
Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.
The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.
Field-level changes detected between successful source imports.
Every figure on this page traces back to one of these records.
Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
GET https://model.kyssta.lol/api/v1/models/meta-llama/llama-4-maverickcurl "https://model.kyssta.lol/api/v1/models/meta-llama/llama-4-maverick"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward. It is published by Meta and catalogued here from OpenRouter.
Meta: Llama 4 Maverick accepts up to 128K tokens of context and returns up to 115.2K output tokens.
Provider catalogs list support for image input.
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Meta: Llama 3.1 70B InstructMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
Meta: Llama 3.1 8B InstructMeta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Llama 4 Scout 17B InstructOpen Llama with long-context vision for efficient multimodal agents