K2 Think Models by MBZUAI
1 model2026Up to 512k ctx
About
MBZUAI's K2 Think series of open-source reasoning-focused large language models, developed in collaboration with G42 and Cerebras Systems. Built on the K2 base model family, K2 Think models are optimized for deep multi-step reasoning across math, science, coding, and logic, with long-context support.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
1 in view
K2 Think V2Current
Use when the workload needs 512k context and 70B parameters.
2026-01512k context70B parameters
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| K2 Think V2 | Use when the workload needs 512k context and 70B parameters. | 2026-01 | 512k context70B parameters | Current |
Release Timeline
1 release group2026-01
1 current
K2 Think V2
Current512k context70B parameters
Specifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| K2 Think V2 | 2026-01 | 512k | 70B |
Frequently Asked Questions
- What is K2 Think used for?
- K2 Think is used for coding and math-heavy prompts. The family description and listed model capabilities point to those workloads as the best fit.
- How does K2 Think compare to Claude 3?
- K2 Think by MBZUAI is strongest where you need coding, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. K2 Think has 1 listed variant and reaches up to 512k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
- Which K2 Think model should I use?
- If price is the main constraint, use the pricing table first because K2 Think does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate K2 Think V2 with 512k context.