Technical Details

April 10, 2025 ยท View on GitHub

Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning

We introduce Seed-Thinking-v1.5, capable of reasoning through thinking before responding, resulting in improved performance on a wide range of benchmarks. Seed-Thinking-v1.5 achieves 86.7 on AIME 2024, 55.0 on Codeforces and 77.3 on GPQA, demonstrating excellent reasoning abilities in STEM and coding. Beyond reasoning tasks, the method demonstrates notable generalization across diverse domains. For instance, it surpasses DeepSeek R1 by 8% in win rate on non-reasoning tasks, indicating its broader applicability. Compared to other state-of-the-art reasoning models, Seed-Thinking-v1.5 is a Mixture-of-Experts (MoE) model with a relatively small size, featuring 20B activated and 200B total parameters. As part of our effort to assess generalized reasoning, we develop two internal benchmarks, BeyondAIME and Codeforces, both of which will be publicly released to support future research.

Model Performance

Technical Details

Full technical details can be found in our technical report.

Full Results

We present the evaluation results across diverse tasks spanning mathematics, coding, science, and general knowledge domains.

BenchmarkSeed-Thinking-v1.5DeepSeek R1OpenAI o3-miniGrok 3 BetaGemini 2.5 pro
Mathematics
AIME 202574.0%65.0%86.5%77.3%86.7% ๐Ÿ†
AIME 202486.7%79.8%87.3%83.9%92.0% ๐Ÿ†
Beyond AIME48.0%42.4%63.6% ๐Ÿ†-58.8%
Science
GPQA diamond77.3%71.5%79.7%80.2%84.0% ๐Ÿ†
SuperGPQA62.1%60.5%52.2%62.8%65.3% ๐Ÿ†
MMLU-PRO87.0% ๐Ÿ†85.6%82.4%84.6%86.3%
Code
Codeforces avg@836.3%32.0%50.9% ๐Ÿ†-40.3%
Codeforces pass@855.0%45.0%67.5% ๐Ÿ†-56.3%
LiveCodeBench v564.9%64.3%74.1% ๐Ÿ†70.6%70.4%
Aider Polyglot54.2%56.9%68.6%-74.0% ๐Ÿ†
Agentic Coding
SWE-bench verified47.0%49.2%49.3%-63.8% ๐Ÿ†
SWE-bench verified*47.0%46.2%44.5%-63.8% ๐Ÿ†
Logic reasoning
ARC-AGI39.9% ๐Ÿ†18.3%25.8%31.9%27.6%
Factuality
SimpleQA12.9%30.1%13.8%43.6%52.9% ๐Ÿ†
Instruction
Collie73.1%34.2%87.6% ๐Ÿ†33.6%62.5%
IFEval87.4%86.1%93.7% ๐Ÿ†83.4%91.5%

* Results from our internal sandbox, which may differ from the reported results due to inconsistencies in the testing environment.