K2 Think V2
Last refreshed 2026-05-19. Next refresh: weekly.
K2 Think V2 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 2026-05-19.
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
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-19
Researched 14d ago
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
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.
K2 Think V2 is an open-source model in the K2 Think family. The structured metadata tracks a 512k-token context window. Headline tracked benchmarks include Google-Proof Q&A 71.3.
Capabilities
No model capability flags are currently sourced.
Benchmark Scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 71.3 | diamond | https://artificialanalysis.ai/leaderboards/models |