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 sourceCoder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file...
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.
arcee-ai/coder-largeEvery 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.
ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.
Read the methodologyField-level changes detected between successful source imports.
This record has not changed within the retained import history.
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/arcee-ai/coder-largecurl "https://model.kyssta.lol/api/v1/models/arcee-ai/coder-large"Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
Coder‑Large is a 32 B‑parameter offspring of Qwen 2.5‑Instruct that has been further trained on permissively‑licensed GitHub, CodeSearchNet and synthetic bug‑fix corpora. It supports a 32k context window, enabling multi‑file. It is published by Arcee Ai and catalogued here from OpenRouter.
Arcee AI: Coder Large accepts up to 32.768K tokens of context.
Experimental chat-tuned 6B MoE model with 1B active parameters for low-resource chat and instruction following
Arcee AI: Virtuoso LargeVirtuoso‑Large is Arcee's top‑tier general‑purpose LLM at 72 B parameters, tuned to tackle cross‑domain reasoning, creative writing and enterprise QA. Unlike many 70 B peers, it retains the 128 k...
Trinity Large PreviewLightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents
Trinity MiniReasoning-tuned 26B MoE model with 3B active parameters for agents, tools, and multi-step workloads