Coder Large

Coder Large by arcee-ai excels in the Coding category, where it ranks #268 with a composite score of 32/100. 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 refactoring or long diff review in a single call, and understands 30‑plus programming languages with special attention to TypeScript, Go and Terraform. Internal benchmarks show 5–8 pt gains over CodeLlama‑34 B‑Python on HumanEval and competitive BugFix scores thanks to a reinforcement pass that rewards compilable output. The model emits structured explanations alongside code blocks by default, making it suitable for educational tooling as well as production copilot scenarios. Cost‑wise, Together AI prices it well below proprietary incumbents, so teams can scale interactive coding without runaway spend. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Coder Large is priced at $0.50 per million input tokens and $0.80 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Coder Large holds rank #268 out of 6 models tracked. Its quality rank is #268 and adoption rank is #268. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Coder Large has been evaluated across 6 different signals. Its strongest areas include Capabilities (14/100), Context Window (72/100), Output Capacity (20/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 32/100 reflects a weighted combination of all tracked signals.

Coder Large is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check arcee-ai's website for current free tier availability and promotional offers.