Model profile
Laguna M.1
Evidence coverage
5 of 323 tracked benchmarks are published. 5 are verified and 0 provisional. 2 of 8 categories are measured.
- Published / tracked
- 5 / 323
- Verified
- 5
- Provisional
- 0
- Categories with evidence
- 2 / 8
Evidence by category
- Agentic1 benchmarkVerified
- Coding4 benchmarksVerified
- Reasoning0 benchmarksNot measured
- Knowledge0 benchmarksNot measured
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following0 benchmarksNot measured
BenchLM is tracking Laguna M.1, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Laguna M.1 is a proprietary model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Available through Poolside API and OpenRouter. Poolside describes Laguna M.1 as a closed-weight flagship coding-agent model.
Laguna M.1 sits inside the Laguna family alongside Laguna S 2.1, Laguna XS.2. This profile currently has 5 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Agentic (#55), while its weakest is Coding (#114). This performance profile makes it particularly useful for coding agents, browser research, and computer-use workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- Laguna M.1Current modelPoolsideUnrankedNot measuredLaguna M.1 is Unranked with a score of Not measured.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Agentic54%Eligible cohort rank #55 of 119Category score 48.6
- Coding7%Eligible cohort rank #114 of 122Category score 34.7
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #55 of 119Percentile 54thWeight 22%1 benchmarkVerified | 48.6 | #55 of 119 | 54th | 22% | 1 benchmark | Verified |
| CodingRank #114 of 122Percentile 7thWeight 20%4 benchmarksVerified | 34.7 | #114 of 122 | 7th | 20% | 4 benchmarks | Verified |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
Coding4 benchmarks
Software Engineering Benchmark Verified
Frequently Asked Questions
How does Laguna M.1 perform overall in AI benchmarks?
Laguna M.1 has 5 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Laguna M.1 good for coding and programming?
Laguna M.1 ranks #114 out of 122 models in coding and programming benchmarks with an average score of 34.7. There are stronger options in this category.
Is Laguna M.1 good for agentic tool use and computer tasks?
Laguna M.1 ranks #55 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 48.6. There are stronger options in this category.
Which sibling models are related to Laguna M.1?
Laguna M.1 belongs to the Laguna family. Related variants on BenchLM include Laguna S 2.1, Laguna XS.2.
Does Laguna M.1 have full benchmark coverage on BenchLM?
Not yet. Laguna M.1 currently has 5 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Laguna M.1?
Laguna M.1 has a published context window of 256K, which determines how much text it can process in a single interaction.
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