SnorkelSequences
Models compute values over integer sequences built from chains of filters, transforms and operators. The 250 procedurally generated questions test compositional multi-step math.
Answers are checked programmatically with no judge. Announced with SnorkelFinance and SnorkelUnderwrite as preview benchmarks. The board is archived.
- Made by
- Snorkel AI
- Released
- June 2025
- Kind
- Word problems
- Level
- School
- Scored
- Checked automatically
- Answers
- Short answer
- Tasks
- Kept private
- Strongest model tested
- GPT-5.4 #27 on the capability index
- Last model added
- March 2026
- Scores refreshed
- November 12th, 2026
2 models share the top score of 77.6% among models released by March 2026
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in March 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 77.6 GPT-5
- 77.6 GPT-5 mini
- 72.0 GPT-5 nano
- 71.6 GPT-5.4
- 71.2 o3-mini
- 70.8 Gemini 2.5 Flash [snapshot unspecified]
- 70.4 Claude Sonnet 4
- 70.2 Grok 4 Fast
- 68.8 o4-mini
- 66.8
Llama-3.3-Nemotron-Super-49B-v1.5
- 66.0 Gemini 2.5 Pro [snapshot unspecified]
- 65.6 Claude Opus 4
- 65.2 o3
- 63.2 Grok 4
- 62.0
Llama 4 Maverick
- 51.8
Amazon Nova Premier
- 48.4
Llama 4 Scout
- 47.6 Magistral Medium [snapshot unspecified]
- 47.6 Claude 3.7 Sonnet
- 44.8
Llama-3.3-Nemotron-Super-49B-v1
- 41.2
Amazon Nova Pro
- 40.0
Amazon Nova Lite
- 39.2 Grok 3
- 38.8 Mistral Large [snapshot unspecified]
- 38.8
Llama 3.3 70B
- 38.4 Codestral [snapshot unspecified]
- 36.8 GPT-4.1
- 36.4 Nvidia 70B Instruct [snapshot unspecified]
- 36.0 Kimi K2 Thinking
- 35.2
Llama 3.1-405B
- 33.6
Amazon Nova Micro
- 28.0 Qwen 3 235B [snapshot unspecified]
- 1 GPT-5 77.6%
- 2 GPT-5 mini 77.6%
- 3 GPT-5 nano 72%
- 4 GPT-5.4 71.6%
- 5 o3-mini 71.2%
- 6 Gemini 2.5 Flash [snapshot unspecified] 70.8%
- 7 Claude Sonnet 4 70.4%
- 8 Grok 4 Fast reasoning 70.2%
- 9 o4-mini 68.8%
- 10
Llama-3.3-Nemotron-Super-49B-v1.5 66.8%
- 11 Gemini 2.5 Pro [snapshot unspecified] 66%
- 12 Claude Opus 4 65.6%
- 13 o3 65.2%
- 14 Grok 4 63.2%
- 15
Llama 4 Maverick 62%
- 16
Amazon Nova Premier 51.8%
- 17
Llama 4 Scout 48.4%
- 18 Magistral Medium [snapshot unspecified] 47.6%
- 19 Claude 3.7 Sonnet 47.6%
- 20
Llama-3.3-Nemotron-Super-49B-v1 44.8%
- 21
Amazon Nova Pro 41.2%
- 22
Amazon Nova Lite 40%
- 23 Grok 3 39.2%
- 24 Mistral Large [snapshot unspecified] 38.8%
- 25
Llama 3.3 70B 38.8%
- 26 Codestral [snapshot unspecified] 38.4%
- 27 GPT-4.1 36.8%
- 28 Nvidia 70B Instruct [snapshot unspecified] 36.4%
- 29 Kimi K2 Thinking 36%
- 30
Llama 3.1-405B 35.2%
- 31
Amazon Nova Micro 33.6%
- 32 Qwen 3 235B [snapshot unspecified] 28%
Source: Official SnorkelSequences leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5 | 77.6% | Aug 2025 | Official leaderboard | |
| 2 | GPT-5 mini | 77.6% | Aug 2025 | Official leaderboard | |
| 3 | GPT-5 nano | 72% | Aug 2025 | Official leaderboard | |
| 4 | GPT-5.4 | 71.6% | Mar 2026 | Official leaderboard | |
| 5 | o3-mini | 71.2% | Jan 2025 | Official leaderboard | |
| 6 | Gemini 2.5 Flash [snapshot unspecified] | 70.8% | Official leaderboard | ||
| 7 | Claude Sonnet 4 | 70.4% | May 2025 | Official leaderboard | |
| 8 | Grok 4 Fast | 70.2% | reasoning | Sep 2025 | Official leaderboard |
| 9 | o4-mini | 68.8% | Apr 2025 | Official leaderboard | |
| 10 | | 66.8% | Jul 2025 | Official leaderboard | |
| 11 | Gemini 2.5 Pro [snapshot unspecified] | 66% | Official leaderboard | ||
| 12 | Claude Opus 4 | 65.6% | May 2025 | Official leaderboard | |
| 13 | o3 | 65.2% | Apr 2025 | Official leaderboard | |
| 14 | Grok 4 | 63.2% | Jul 2025 | Official leaderboard | |
| 15 | | 62% | Apr 2025 | Official leaderboard | |
| 16 | | 51.8% | Apr 2025 | Official leaderboard | |
| 17 | | 48.4% | Apr 2025 | Official leaderboard | |
| 18 | Magistral Medium [snapshot unspecified] | 47.6% | Official leaderboard | ||
| 19 | Claude 3.7 Sonnet | 47.6% | Feb 2025 | Official leaderboard | |
| 20 | | 44.8% | Mar 2025 | Official leaderboard | |
| 21 | | 41.2% | Dec 2024 | Official leaderboard | |
| 22 | | 40% | Dec 2024 | Official leaderboard | |
| 23 | Grok 3 | 39.2% | Apr 2025 | Official leaderboard | |
| 24 | Mistral Large [snapshot unspecified] | 38.8% | Official leaderboard | ||
| 25 | | 38.8% | Dec 2024 | Official leaderboard | |
| 26 | Codestral [snapshot unspecified] | 38.4% | Official leaderboard | ||
| 27 | GPT-4.1 | 36.8% | Apr 2025 | Official leaderboard | |
| 28 | Nvidia 70B Instruct [snapshot unspecified] | 36.4% | Official leaderboard | ||
| 29 | Kimi K2 Thinking | 36% | Nov 2025 | Official leaderboard | |
| 30 | | 35.2% | Jul 2024 | Official leaderboard | |
| 31 | | 33.6% | Dec 2024 | Official leaderboard | |
| 32 | Qwen 3 235B [snapshot unspecified] | 28% | Official leaderboard |
2 models have held number one on the official leaderboard since its release in June 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official SnorkelSequences leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official SnorkelSequences leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Math
- AIME 2026 In use Models solve the 30 integer-answer problems from the 2026 AIME I and II math competitions. Scored by exact answer match. GPT-5.5 100%
- IMO-AnswerBench In use 400 olympiad problems with short verifiable answers, robustified against memorization. Scored by answer match. GLM-5.2 91%
- HMMT 2026 In use Models solve the 33 final-answer problems from the February 2026 Harvard-MIT Mathematics Tournament. Scored by exact answer match. GPT-5.5 98.5%
- PolyMath In use Models solve 9,000 parallel math problems in 18 languages across four difficulty levels, from school math to frontier math. Final answers are checked.
Qwen3.7-Max 86.5%
- MathArena (Apex, IMO, USAMO) In use Evaluates models on newly released math competitions after release. Final-answer or human/LLM-judged proof scores. Claude Opus 4.8 81.3%
- MathArena Apex Shortlist In use Models solve 47 hard final-answer problems that MathArena selected from 2025 competitions, where the best models scored about 50% at selection. Scored by accuracy over repeated attempts. GPT-5.5 98.4%