K2 Think V2
K2 Think V2 is a released long context model with open-weight and 512k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating long context
- Workloads that can use a 512k 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
- Family
- K2 Think
- Released
- 2026-01-27
- Context
- 512k
- Parameters
- 70B
- Architecture
- Decoder Only
- Openness
- Open weights
- Weights
- Unknown
- Code
- Unknown
No tracked provider token pricing is available yet.
About
K2 Think V2 is a 70B parameter open-source reasoning model from MBZUAI (Mohamed bin Zayed University of Artificial Intelligence), developed in collaboration with G42 and Cerebras Systems. Built on the K2-V2 base model, it is optimized for deep multi-step reasoning across math, science, coding, logic, and long-context tasks with a 512K token context window. Released under a '360-open' approach including weights, training code, data, and evaluation tools.
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.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(1)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 71.3 | diamondObserved 2026-04-18 | — | Source |
Migration checks
No linked migration route is available for this model yet.