Benchmarks / Coding

IOI

Vals AI's overall score for version 2 of the International Olympiad in Informatics benchmark.

43models
–Open Index weight
2026-10-14last updated
Vals AIpublisher

IOI

Higher is better · best effort per model

Chart settings
43 of 43 selected

full table below

#ModelEffortScoreCost / taskHarness
1Gemini 4high100.0%$5.31–
2GPT-6 Astramax100.0%$6.50–
3GPT-6.1 Solmax96.9%$1.26–
4Opus 5.5max95.1%$5.26–
5GPT-5.6 Solmax91.2%$7.98–
6Fable 5.1max90.8%$11.20–
7GPT-5.6 Terramax87.6%$8.66–
8Opus 5max84.3%$16.48–
9Sonnet 5.5max83.1%$7.52–
10GPT-6 Solmax82.6%$2.70–
11Wonder Fullmax79.8%$7.08–
12Qwen 3.8 Maxmax68.9%$9.47–
13GLM 5.3max68.4%$7.67–
14Gemini 3.7 Flashhigh67.8%$3.40–
15Wondermax66.9%$4.54–
16GPT-5.6 Lunamax61.8%$0.580–
17Hy4–59.3%$1.35–
18Grok 4.7xhigh57.7%$12.71–
19Gemini 3.8 Flashhigh56.9%$3.98–
20Muse Spark 1.3max56.6%$1.73–
21GPT-6 Lunamax55.6%$0.199–
22GPT-5.3 Codexxhigh53.8%$2.68–
23GLM 5.3 Flashmax52.5%$0.429–
24Gemini 3.1 Prohigh51.8%$1.25–
25DeepSeek V4 Pro 0813max51.6%$2.15–
26Kimi K3max48.9%$14.17–
27MiMo V2.6 Flashhigh47.7%$0.215–
28Grok 4.6high47.6%$8.18–
29Haiku 5.5max47.3%$0.827–
30Ember-1–46.3%$24.46–
31Mistral Large 4high45.3%$5.39–
32Sonnet 5max45.0%$12.89–
33Grok 4.5high40.6%$5.64–
34DeepSeek V4.1 Flashhigh40.3%$0.243–
35MiMo V2.6 Prohigh39.3%$0.835–
36Qwen 3.8 27Bxhigh39.1%$3.55–
37Step 5 Preview–38.1%$2.03–
38Gemini 3.6 Flashhigh35.1%$8.67–
39DeepSeek V4 Flash 0731high32.7%$0.373–
40Muse Spark 1.2xhigh21.8%$2.64–
41Inklingmax14.9%$1.71–
42Inkling Smallxhigh9.3%$0.338–
43Mercury 2.5high2.4%$0.161–