Skip to main content

Model profile

Laguna XS.2

PoolsideCurrentReleased Apr 28, 2026
Data verified
Overall Score
Unranked
Arena Elo
Not listed
Eligible category ranks
2of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
256K

Evidence coverage

5 of 323 tracked benchmarks are published. 5 are verified and 0 provisional. 2 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
5 / 323
Verified
5
Provisional
0
Categories with evidence
2 / 8

Evidence by category

  • Agentic1 benchmark
    Verified
  • Coding4 benchmarks
    Verified
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostReasoning
Confidence:
Low
xs-2

BenchLM is tracking Laguna XS.2, 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 XS.2 is a open weight 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.

Open weights are available on Hugging Face under Apache 2.0, and hosted inference is available through Poolside API and OpenRouter.

Laguna XS.2 sits inside the Laguna family alongside Laguna S 2.1, Laguna M.1. 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 (#64), while its weakest is Coding (#119). 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 77.4483.93

  1. Claude Mythos 5
    Anthropic
    #183.93
    Claude Mythos 5 is #1 with a score of 83.93.
    Compare
  2. Claude Fable 5
    Anthropic
    #283.68
    Claude Fable 5 is #2 with a score of 83.68.
    Compare
  3. GPT-5.6 Sol
    OpenAI
    #381.96
    GPT-5.6 Sol is #3 with a score of 81.96.
    Compare
  4. Kimi K3
    Moonshot AI
    #480.96
    Kimi K3 is #4 with a score of 80.96.
    Compare
  5. Claude Opus 4.8
    Anthropic
    #578.34
    Claude Opus 4.8 is #5 with a score of 78.34.
    Compare
  6. Muse Spark 1.1
    Meta
    #677.44
    Muse Spark 1.1 is #6 with a score of 77.44.
    Compare
  7. Laguna XS.2Current model
    Poolside
    UnrankedNot measured
    Laguna XS.2 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.

  1. Agentic47%
    Eligible cohort rank #64 of 119Category score 46.9
  2. Coding2%
    Eligible cohort rank #119 of 122Category score 29.6

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #64 of 119Percentile 47thWeight 22%1 benchmarkVerified46.9
CodingRank #119 of 122Percentile 2ndWeight 20%4 benchmarksVerified29.6
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot 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
Terminal-Bench 2.0Provider exact
35.7%Weighted 38%
Source: Poolside Laguna M.1/XS.2 technical reportProvenance: Poolside reports Terminal-Bench 2.0 in Table 6 as mean pass@1 across four runs with 48GB RAM/32 CPUs.
Coding4 benchmarks
SWE-bench VerifiedProvider exact

Software Engineering Benchmark Verified

69.9%Weighted 16%
Source: Poolside Laguna M.1/XS.2 technical reportProvenance: Poolside reports SWE-bench Verified in Table 6 as mean pass@1 across four runs with the pool harness.
SWE-bench ProProvider exact
46.3%Weighted 10%
Source: Poolside Laguna M.1/XS.2 technical reportProvenance: Poolside reports SWE-bench Pro in Table 6 as mean pass@1 across four runs with the pool harness.
SWE MultilingualProvider exact
57.7%Display only
Source: Poolside Laguna M.1/XS.2 technical reportProvenance: Poolside reports SWE-bench Multilingual in Table 6 as mean pass@1 across four runs with the pool harness.
Terminal-Bench 2.0Provider exact
35.7%Display only
Source: Poolside Laguna M.1/XS.2 technical reportProvenance: Poolside reports Terminal-Bench 2.0 in Table 6 as mean pass@1 across four runs with 48GB RAM/32 CPUs.

Laguna Family

Xs-2

Canonical Entry

Laguna M.1

Frequently Asked Questions

How does Laguna XS.2 perform overall in AI benchmarks?

Laguna XS.2 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 XS.2 good for coding and programming?

Laguna XS.2 ranks #119 out of 122 models in coding and programming benchmarks with an average score of 29.6. There are stronger options in this category.

Is Laguna XS.2 good for agentic tool use and computer tasks?

Laguna XS.2 ranks #64 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 46.9. There are stronger options in this category.

Is Laguna XS.2 open source?

Yes, Laguna XS.2 is an open weight model created by Poolside, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Which sibling models are related to Laguna XS.2?

Laguna XS.2 belongs to the Laguna family. Related variants on BenchLM include Laguna S 2.1, Laguna M.1.

Does Laguna XS.2 have full benchmark coverage on BenchLM?

Not yet. Laguna XS.2 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 XS.2?

Laguna XS.2 has a published context window of 256K, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

Choose with this week’s evidence

Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.

Free. One email per week.