Context
33K tokens (~16 books)
Input $/1M
$0.50
Output $/1M
$0.80
Type
text
License
Proprietary
Benchmarks
0 tested
Data as of
About
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...
No benchmark data available yet.
Links
Research
Documentation
Community
BenchGecko API
coder-large
Specifications
- Typetext
- Context33K tokens (~16 books)
- ReleasedMay 2025
- LicenseProprietary
- StatusActive
- Cost / Message~$0.002
Available On
Learn More
Share & Export
Frequently Asked Questions
Coder Large is a proprietary text AI model by arcee-ai, released in May 2025. Context window: 33K tokens.
Related Models
Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba QwenBenchmarks
Key facts · as of 2026-07-11
- Coder Large by arcee-ai. Not enough public benchmark scores to rank yet.
- List price $0.50 input · $0.80 output per 1M tokens (as of 2026-07-11).
How to cite · data as of 2026-07-11
Coder Large · benchmarks, pricing and providers. BenchGecko, data as of 2026-07-11. https://benchgecko.ai/model/coder-large
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP