K2-Think: A 32B Reasoning Model Built for Math
Overview
K2-Think is a 32 billion parameter open-weights reasoning model built by IFM that specializes in competitive mathematical problem solving and general reasoning tasks. The model supports up to 32,768 tokens of output generation and runs on the Transformers library with automatic chat template application. Licensed under Apache 2.0, it represents a parameter-efficient approach to reasoning—achieving performance comparable to much larger models through specialized training on reasoning-heavy benchmarks. The most important detail before using it: inference speed depends drastically on your infrastructure. On typical cloud setups you get ~200 tokens/second with 160 seconds for a 32k-token response, but on Cerebras WSE systems the same response takes ~16 seconds at ~2,000 tokens/second. This speed difference makes it critical to match your deployment platform to your latency requirements.
Best use cases
Competitive mathematics problem solving.K2-Think achieves 90.83% on AIME 2024, 81.24% on AIME 2025, and 73.75% on HMMT 2025. Use this...
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