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Model comparison

Laguna M.1 vs Qwen3.5-27B

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Poolside
N/A
No comparison
59.68/100
0 category wins2 category wins

Public leaderboard positions: Laguna M.1 unranked (Not scored); Qwen3.5-27B #51 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Laguna M.1 and Qwen3.5-27B share 2 comparable benchmark results. 2 of 8 categories are comparable. 3 results are unique to Laguna M.1; 26 to Qwen3.5-27B.

Updated July 27, 2026
Shared results
2
Laguna M.1 only
3
Qwen3.5-27B only
26
Comparable categories
2 / 8

Treat this as a split decision. Laguna M.1 makes more sense if its workflow fits your team better; Qwen3.5-27B is the better fit if agentic is the priority or you need the larger 262K context window.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Laguna M.1 and Qwen3.5-27B finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Qwen3.5-27B gives you the larger context window at 262K, compared with 256K for Laguna M.1.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Laguna M.1 and Qwen3.5-27B
CategoryLaguna M.1ΔQwen3.5-27B
AgenticLaguna M.145.8Margin 6.2Qwen3.5-27B52.0
CodingLaguna M.164.8Margin 0.1Qwen3.5-27B64.9
ReasoningLaguna M.1Not measuredMarginNo overlapQwen3.5-27B60.6
KnowledgeLaguna M.1Not measuredMarginNo overlapQwen3.5-27B82.7
MultilingualLaguna M.1Not measuredMarginNo overlapQwen3.5-27B82.2
Inst. FollowingLaguna M.1Not measuredMarginNo overlapQwen3.5-27B95.0

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Laguna M.1B · Qwen3.5-27B
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 45.8%B 41.6%
    Winner: Laguna M.1Δ 4.2
    Terminal-Bench 2.0: Laguna M.1 scored 45.8%; Qwen3.5-27B scored 41.6%. Laguna M.1 wins this benchmark.
  2. SWE-bench Verified

    Coding
    Source ↗
    A 74.6%B 72.4%
    Winner: Laguna M.1Δ 2.2
    SWE-bench Verified: Laguna M.1 scored 74.6%; Qwen3.5-27B scored 72.4%. Laguna M.1 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricLaguna M.1Qwen3.5-27BComparison
Input / output priceUSD per 1M tokensLaguna M.1Not availableQwen3.5-27B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondLaguna M.1Not availableQwen3.5-27BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLaguna M.1Not availableQwen3.5-27BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLaguna M.1256KQwen3.5-27B262KQwen3.5-27B lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.5-27B wins
BenchmarkLaguna M.1Qwen3.5-27BResult
Terminal-Bench 2.0Source 45.8%41.6%Laguna M.1 leads
BrowseCompSource 61%Not comparable
OSWorld-VerifiedSource 56.2%Not comparable
τ²-bench resultsSource 93.9%Not comparable
Gert LabsSource 39.41%Not comparable
CodingQwen3.5-27B wins
BenchmarkLaguna M.1Qwen3.5-27BResult
SWE-bench VerifiedSource 74.6%72.4%Laguna M.1 leads
SWE MultilingualSource 63.1%Not comparable
SWE-bench ProSource 49.2%Not comparable
Terminal-Bench 2.0Source 45.8%Not comparable
SWE-RebenchSource 58.9%Not comparable
AA-SciCodeSource 39.5%Not comparable
Reasoning
BenchmarkLaguna M.1Qwen3.5-27BResult
LongBench v2Source 60.6%Not comparable
AA-LCRSource 67.3%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
BenchmarkLaguna M.1Qwen3.5-27BResult
MMLU-ProSource 86.1%Not comparable
SuperGPQASource 65.6%Not comparable
GPQASource 85.5%Not comparable
Artificial Analysis Intelligence IndexSource 33.8%Not comparable
AA-GPQA DiamondSource 85.8%Not comparable
AA-HLESource 22.2%Not comparable
AA-Omniscience IndexSource -42.0%Not comparable
AA-Omniscience AccuracySource 21.0%Not comparable
AA-Omniscience Hallucination RateSource 79.7%Not comparable
Multilingual
BenchmarkLaguna M.1Qwen3.5-27BResult
MMLU-ProXSource 82.2%Not comparable
Multimodal
BenchmarkLaguna M.1Qwen3.5-27BResult
MMMUSource 82.3%Not comparable
MMVUSource 73.3%Not comparable
MathVisionSource 86.0%Not comparable
V*Source 93.7%Not comparable
AA-MMMU-ProSource 75.0%Not comparable
Inst. Following
BenchmarkLaguna M.1Qwen3.5-27BResult
IFEvalSource 95%Not comparable
AA-IFBenchSource 75.6%Not comparable
Frequently Asked Questions (3)

Which is better, Laguna M.1 or Qwen3.5-27B?

Laguna M.1 and Qwen3.5-27B are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, Laguna M.1 or Qwen3.5-27B?

Qwen3.5-27B has the edge for coding in this comparison, averaging 64.9 versus 64.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Laguna M.1 or Qwen3.5-27B?

Qwen3.5-27B has the edge for agentic tasks in this comparison, averaging 52 versus 45.8. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

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Last updated: July 27, 2026

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