SnorkelGraph
Models solve 200 procedurally generated graph problems, such as minimum vertex cover, given as node and edge lists in text. Answers are checked against verifiable ground truth.
Accuracy@1 with a 16,384-token budget. Part of Snorkel's procedurally generated reasoning series with SnorkelSequences and SnorkelSpatial. The board is archived.
- Made by
- Snorkel AI
- Released
- September 2025
- Kind
- Word problems
- Level
- University
- 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
GPT-5.4 leads with 84.5% 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
- 84.5 GPT-5.4
- 75.0 o4-mini
- 75.0 Grok 4 Fast
- 72.5 GPT-5 mini
- 72.0 GPT-5
- 71.5 o3
- 71.0 o3-mini
- 64.5 Claude Opus 4
- 64.0 Grok 3
- 63.0 GPT-4.1
- 62.5 GPT-5 nano
- 61.5 Qwen 3 235B [snapshot unspecified]
- 61.0 Grok 4
- 58.0 Gemini 2.5 Pro [snapshot unspecified]
- 58.0 Claude Sonnet 4
- 55.0 Gemini 2.5 Flash [snapshot unspecified]
- 53.5 Magistral Medium [snapshot unspecified]
- 50.0 Claude 3.7 Sonnet
- 34.5
Amazon Nova Premier
- 34.0
Llama 4 Maverick
- 30.0 Mistral Large [snapshot unspecified]
- 29.0
Llama-3.3-Nemotron-Super-49B-v1
- 28.0
Amazon Nova Pro
- 26.0
Llama 4 Scout
- 24.5 Codestral [snapshot unspecified]
- 23.5
Llama 3.3 70B
- 22.5 Nvidia 70B Instruct [snapshot unspecified]
- 20.5
Llama 3.1-405B
- 19.0
Amazon Nova Lite
- 17.5
Amazon Nova Micro
- 15.0
Command R+
- 10.5 Command-Light
- 10.0 Command
- 1 GPT-5.4 84.5%
- 2 o4-mini 75%
- 3 Grok 4 Fast reasoning 75%
- 4 GPT-5 mini 72.5%
- 5 GPT-5 72%
- 6 o3 71.5%
- 7 o3-mini 71%
- 8 Claude Opus 4 64.5%
- 9 Grok 3 64%
- 10 GPT-4.1 63%
- 11 GPT-5 nano 62.5%
- 12 Qwen 3 235B [snapshot unspecified] 61.5%
- 13 Grok 4 61%
- 14 Gemini 2.5 Pro [snapshot unspecified] 58%
- 15 Claude Sonnet 4 58%
- 16 Gemini 2.5 Flash [snapshot unspecified] 55%
- 17 Magistral Medium [snapshot unspecified] 53.5%
- 18 Claude 3.7 Sonnet 50%
- 19
Amazon Nova Premier 34.5%
- 20
Llama 4 Maverick 34%
- 21 Mistral Large [snapshot unspecified] 30%
- 22
Llama-3.3-Nemotron-Super-49B-v1 29%
- 23
Amazon Nova Pro 28%
- 24
Llama 4 Scout 26%
- 25 Codestral [snapshot unspecified] 24.5%
- 26
Llama 3.3 70B 23.5%
- 27 Nvidia 70B Instruct [snapshot unspecified] 22.5%
- 28
Llama 3.1-405B 20.5%
- 29
Amazon Nova Lite 19%
- 30
Amazon Nova Micro 17.5%
- 31
Command R+ 15%
- 32 Command-Light 10.5%
- 33 Command 10%
Source: Official SnorkelGraph leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-5.4 | 84.5% | Mar 2026 | Official leaderboard | |
| 2 | o4-mini | 75% | Apr 2025 | Official leaderboard | |
| 3 | Grok 4 Fast | 75% | reasoning | Sep 2025 | Official leaderboard |
| 4 | GPT-5 mini | 72.5% | Aug 2025 | Official leaderboard | |
| 5 | GPT-5 | 72% | Aug 2025 | Official leaderboard | |
| 6 | o3 | 71.5% | Apr 2025 | Official leaderboard | |
| 7 | o3-mini | 71% | Jan 2025 | Official leaderboard | |
| 8 | Claude Opus 4 | 64.5% | May 2025 | Official leaderboard | |
| 9 | Grok 3 | 64% | Apr 2025 | Official leaderboard | |
| 10 | GPT-4.1 | 63% | Apr 2025 | Official leaderboard | |
| 11 | GPT-5 nano | 62.5% | Aug 2025 | Official leaderboard | |
| 12 | Qwen 3 235B [snapshot unspecified] | 61.5% | Official leaderboard | ||
| 13 | Grok 4 | 61% | Jul 2025 | Official leaderboard | |
| 14 | Gemini 2.5 Pro [snapshot unspecified] | 58% | Official leaderboard | ||
| 15 | Claude Sonnet 4 | 58% | May 2025 | Official leaderboard | |
| 16 | Gemini 2.5 Flash [snapshot unspecified] | 55% | Official leaderboard | ||
| 17 | Magistral Medium [snapshot unspecified] | 53.5% | Official leaderboard | ||
| 18 | Claude 3.7 Sonnet | 50% | Feb 2025 | Official leaderboard | |
| 19 | | 34.5% | Apr 2025 | Official leaderboard | |
| 20 | | 34% | Apr 2025 | Official leaderboard | |
| 21 | Mistral Large [snapshot unspecified] | 30% | Official leaderboard | ||
| 22 | | 29% | Mar 2025 | Official leaderboard | |
| 23 | | 28% | Dec 2024 | Official leaderboard | |
| 24 | | 26% | Apr 2025 | Official leaderboard | |
| 25 | Codestral [snapshot unspecified] | 24.5% | Official leaderboard | ||
| 26 | | 23.5% | Dec 2024 | Official leaderboard | |
| 27 | Nvidia 70B Instruct [snapshot unspecified] | 22.5% | Official leaderboard | ||
| 28 | | 20.5% | Jul 2024 | Official leaderboard | |
| 29 | | 19% | Dec 2024 | Official leaderboard | |
| 30 | | 17.5% | Dec 2024 | Official leaderboard | |
| 31 | | 15% | Aug 2024 | Official leaderboard | |
| 32 | Command-Light | 10.5% | Official leaderboard | ||
| 33 | Command | 10% | Official leaderboard |
2 models have held number one on the official leaderboard since its release in September 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official SnorkelGraph 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 SnorkelGraph 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.
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