LLM Reference

K2 Think V2

Released
2026-01-27
Last refreshed
2026-06-29
Status
Researched 59d ago
Open weightsCommercial use: unknownLong context

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
Specifications
Family
K2 Think
Released
2026-01-27
Context
512k
Parameters
70B
Architecture
Decoder Only
Openness
Open weights
Weights
Unknown
Code
Unknown
Created by

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is the world's first graduate-level, research-focused A

Abu Dhabi, UAE
Founded 2019
Website
Pricing

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.

K2 Think V2 is an open-weight 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.

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)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Google-Proof Q&A71.3diamondhttps://artificialanalysis.ai/leaderboards/models

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of K2 Think V2?

K2 Think V2 has a context window of 512k tokens.

When was K2 Think V2 released?

K2 Think V2 was released on 2026-01-27.

What benchmarks has K2 Think V2 been tested on?

K2 Think V2 has been evaluated on 1 benchmark, including Google-Proof Q&A.