List your company

Mathematical Reasoning on IMO-AnswerBench

93.71AccuracyKimi-K2.6
4.363627.559350.75573.9507Dec 2, 2025Jan 7, 2026Feb 12, 2026Mar 21, 2026Apr 26, 2026Jun 1, 2026Jul 8, 2026

Evaluation results

MethodLinks
Kimi-K2.6Tools usage=with tools, Parameter Count=1T-A32B2026.0693.71—
DS-v4-ProTools usage=no tools, Parameter Count=1.6T-A49B2026.0693—
Nemotron 3 UltraTools usage=with tools, Parameter Count=550B-A55B2026.0692.3—
GLM-5.1Tools usage=with tools, Parameter Count=744B-A40B2026.0691.1—
Kimi-K2.6Tools usage=no tools, Parameter Count=1T-A32B2026.0691.1—
DS-v4-FlashTools usage=no tools, Parameter Count=284B-A13B2026.0691.1—
DS-v4-FlashTools usage=with tools, Parameter Count=284B-A13B2026.0689.6—
Nemotron 3 UltraTools usage=no tools, Parameter Count=550B-A55B2026.0688.6—
GLM-5.1Tools usage=no tools, Parameter Count=744B-A40B2026.0686.8—
DS-v4-ProTools usage=with tools, Parameter Count=1.6T-A49B2026.0685.4—
Qwen-3.5Tools usage=with tools, Parameter Count=397B-17B2026.0684.51—
DeepSeek-V3.2variant=Speciale, protocol=Pass@12025.1284.545
Gemini-3.0variant=Pro, protocol=Pass@12025.1283.318
Gemini 3 ProTraining/Evaluation Protocol=proprietary2026.0483.2—
Gemini-3.0version=Pro2026.0283.118,000
Qwen-3.5Tools usage=no tools, Parameter Count=397B-17B2026.0683.1—
GLM-4.72026.0782—
Kimi K2.52026.0281.836,000
Kimi K2mode=Thinking2026.0278.637,000
Kimi-K2variant=Thinking, protocol=Pass@12025.1278.637
DeepSeek-V3.2mode=Thinking2026.0278.327,000
DeepSeek-V3.2variant=Thinking, protocol=Pass@12025.1278.327
QED-Nano (+ RSA test-time scaffold)Model Size=4B, Training/Evaluation Protocol=RSA test-time scaffold2026.0476.5—
GPT-5variant=High, protocol=Pass@12025.127631
GPT-5 High2026.0776—
DeepSeek-Math-V2Model Size=685B2026.0475.8—
MiniMax-2.7Tools usage=with tools, Parameter Count=230B-A10B2026.0675.1—
Qwen3-30B-A3B SAOBackbone=Qwen3-30B-A3B, Training/Optimization method=SAO2026.0774—
Qwen3-30B-A3B - SAO (w/ DIS only)Backbone=Qwen3-30B-A3B, Training/Optimization method=SAO, DIS mechanism=w/ DIS only2026.0771.3—
Qwen3-235B-A22B-Thinking-2507Model Size=235B-A22B2026.0470.5—
GPT-OSS-120BModel Size=120B2026.0470.5—
Qwen3-30B-A3B - GRPO (+ DIS)Backbone=Qwen3-30B-A3B, Training/Optimization method=GRPO, DIS mechanism=+ DIS2026.0770—
MiniMax-2.7Tools usage=no tools, Parameter Count=230B-A10B2026.0668.3—
QED-NanoModel Size=4B2026.0467.5—
Qwen3-30B-A3B-Thinking-2507Model Size=30B-A3B2026.0467—
Claude-Sonnet-4.52026.0765.8—
GPT-OSS-20BModel Size=20B2026.0461.5—
QED-Nano (SFT initialization only)Model Size=4B, Training/Evaluation Protocol=SFT initialization only2026.0457.5—
Qwen3-4B-Thinking-2507Model Size=4B2026.0455.8—
Qwen3-30B-A3B GRPO (w/ python)Backbone=Qwen3-30B-A3B, Training/Optimization method=GRPO, python usage=w/ python2026.0755.8—
Qwen3-30B-A3B w/o pythonBackbone=Qwen3-30B-A3B, python usage=w/o python2026.0755.3—
Qwen3-30B-A3B SFT (w/ python)Backbone=Qwen3-30B-A3B, Training/Optimization method=SFT, python usage=w/ python2026.0753.3—
Nomos-12026.0449—
Qwen3-30B-A3B SFT (w/o python)Backbone=Qwen3-30B-A3B, Training/Optimization method=SFT, python usage=w/o python2026.0742—
Qwen3-30B-A3B w/ pythonBackbone=Qwen3-30B-A3B, python usage=w/ python2026.077.8—