RWKV-6 Finch 14B
rwkv-6-finch-14b
Last refreshed 2026-05-25. Next refresh: weekly.
RWKV-6 Finch 14B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Long context task fit, 0 tracked provider routes, and research from 2026-05-25.
Use it for
- Teams evaluating long context
- Workloads that can use a Infinite context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-25
Researched today
Top use-case fit
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
RWKV-6 Finch 14B is the largest model in the RWKV-6 Finch series, created by stacking two 7B Finch models. Released September 3, 2024. Achieves strong performance on MMLU (56.05%), ARC, HellaSwag (57.69%), and Winogrande (74.43%). The RWKV-6 architecture uses matrix-valued states and dynamic data-driven recurrence, improving comprehension and in-context reasoning compared to RWKV-5 (Eagle). Constant-memory O(1) inference with no KV cache. Apache 2.0 licensed.
RWKV-6 Finch 14B has a Infinite context window.
Capabilities
No model capability flags are currently sourced.
Specifications
Created by
Linear complexity language models combining the efficiency of RNNs with the parallelism of Transformers