Scale Labs SEAL Coding (SEAL Coding)
We show this table for reference; we do not rank on it.
Scale’s SEAL coding board: expert reviewers compared model answers to 1,000 prompts across programming languages, debugging, optimization, and documentation tasks. BenchLM shows it as display-only reference data, excluded from rankings. Scale marked this board deprecated as of March 2025 and no longer adds models.
Rating on SEAL Coding — November 12, 2026 snapshot
We mirror the published rating view for SEAL Coding. o1-mini leads the public snapshot at 1237, followed by o3-mini (1137) and GPT-4o (November 2024) (1132). We do not use these results to rank models overall.
o1-mini
OpenAI
o3-mini
OpenAI
GPT-4o (November 2024)
OpenAI
28 modelsCodingCurrentDisplay onlyUpdated November 12, 2026 snapshot
Rating table (28 models)
| Rank | Model / configuration | Score | Parameters (B) | Open / closed |
|---|---|---|---|---|
| 1 | o1-miniOpenAI | 1237 | Not reported | Closed |
| 2 | o3-miniOpenAI | 1137 | Not reported | Closed |
| 3 | GPT-4o (November 2024)OpenAI | 1132 | Not reported | Unknown |
| 4 | o1-previewOpenAI | 1123 | Not reported | Closed |
| 5 | Gemini 2.0 Flash Experimental (December 2024)Google | 1111 | Not reported | Unknown |
| 6 | Gemini 2.0 Pro (December 2024)Google | 1109 | Not reported | Unknown |
| 7 | Gemini 2.0 Flash Thinking (January 2025)Google | 1108 | Not reported | Unknown |
| 8 | DeepSeek-R1DeepSeek | 1100 | Not reported | Open |
| 9 | o1 (December 2024)OpenAI | 1083 | Not reported | Unknown |
| 10 | Claude 3.5 Sonnet (June 2024)Anthropic | 1079 | Not reported | Unknown |
| 11 | GPT-4o (August 2024)OpenAI | 1045 | Not reported | Unknown |
| 12 | GPT-4o (May 2024)OpenAI | 1036 | Not reported | Unknown |
| 13 | GPT-4 Turbo PreviewOpenAI | 1034 | Not reported | Unknown |
| 14 | Mistral Large 2Mistral | 1029 | Not reported | Closed |
| 15 | Llama 3.1 405B InstructMeta | 1022 | Not reported | Unknown |
| 16 | Gemini 1.5 Pro (August 27, 2024)Google | 1007 | Not reported | Unknown |
| 17 | Gemini 1.5 Pro (May 2024)Google | 994 | Not reported | Unknown |
| 18 | GPT-4 (November 2024)OpenAI | 992 | Not reported | Unknown |
| 19 | DeepSeek V3DeepSeek | 985 | Not reported | Open |
| 20 | Llama 3.2 90B Vision InstructMeta | 984 | Not reported | Unknown |
| 21 | Claude 3 OpusAnthropic | 959 | Not reported | Closed |
| 22 | Gemini 1.5 FlashGoogle | 943 | Not reported | Closed |
| 23 | Gemini 1.5 Pro (April 2024)Google | 891 | Not reported | Unknown |
| 24 | Claude 3 SonnetAnthropic | 879 | Not reported | Unknown |
| 25 | Llama 3 70B InstructMeta | 871 | Not reported | Unknown |
| 26 | Mistral LargeMistral | 811 | Not reported | Unknown |
| 27 | Gemini 1.0 ProGoogle | 685 | Not reported | Closed |
| 28 | CodeLlama 34B InstructMeta | 598 | Not reported | Unknown |
How to read this leaderboard
Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.
Operator receipt: 28 sourced rows are currently displayable on this page; the leading published row is o1-mini at 1237.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison. Scale marked this board deprecated as of March 2025 and no longer adds models.
How BenchLM shows SEAL Coding
BenchLM mirrors 28 published rows from Scale Labs’ public SEAL Coding leaderboard, captured on November 12, 2026 snapshot.
The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings. Scale marked this board deprecated as of March 2025 and no longer adds models.
Snapshot
The published SEAL Coding snapshot places o1-mini first at 1237. The third row is 105 score units behind. The broader top-10 range is 158 score units, so the table still separates the published systems.
28 models have been evaluated on SEAL Coding. The benchmark falls in the Coding category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. SEAL Coding is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About SEAL Coding
Year
2026
Tasks
1,000 coding prompts
Format
Elo-style rating
Difficulty
External agent and model evaluation
Reviewers checked accuracy, coherence, and relevance, with code execution tests on the answers. Scores are ratings on an Elo-style scale built from expert human comparisons, so only the gaps between rows carry meaning. BenchLM mirrors 28 published rows captured on November 12, 2026 snapshot.
Freshness and provenance
Version
SEAL Coding 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does SEAL Coding measure?
Scale’s SEAL coding board: expert reviewers compared model answers to 1,000 prompts across programming languages, debugging, optimization, and documentation tasks. BenchLM shows it as display-only reference data, excluded from rankings. Scale marked this board deprecated as of March 2025 and no longer adds models.
Which model leads the published SEAL Coding snapshot?
o1-mini currently leads the published SEAL Coding snapshot with 1237 rating. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on SEAL Coding?
The November 12, 2026 snapshot snapshot contains 28 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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