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BenchLM
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Model A
Laguna XS.2

Poolside

1.53/100

Estimated · Public rank #251

90% interval 0.0–11.4

Laguna XS.2 vs Qwen 3.6 Max (preview)

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Alibaba logo
Model B
Qwen 3.6 Max (preview)

Alibaba

63.7/100

Supported · Public rank #44

90% interval 53.6–73.8

Decision reading

Qwen 3.6 Max (preview) has the higher public score, 63.7 versus 1.53, and the 90% score intervals do not overlap.

3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Qwen 3.6 Max (preview) is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Laguna XS.2 and Qwen 3.6 Max (preview) are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
3
Laguna XS.2 only
7
Qwen 3.6 Max (preview) only
6
Like-for-like categories
0 / 8

3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only
Laguna XS.2
22.4
Estimated · #149/152
Qwen 3.6 Max (preview)
59.7
Estimated · #22/152
Basis
BenchAlign lane · 2 vs 2 public rows
Reading
Directional only

Coding

Directional only
Laguna XS.2
24.7
Supported · #148/151
Qwen 3.6 Max (preview)
57.6
Estimated · #32/151
Basis
BenchAlign lane · 6 vs 4 public rows
Reading
Directional only

Knowledge

Directional only
Laguna XS.2
17.7
Estimated · #183/183
Qwen 3.6 Max (preview)
60.2
Estimated · #37/183
Basis
BenchAlign lane · 2 vs 1 public rows
Reading
Directional only

Reasoning

Not comparable
Laguna XS.2
Not ranked
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Laguna XS.2
Not ranked
Qwen 3.6 Max (preview)
41.4
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Laguna XS.2
Not ranked
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Laguna XS.2
Not ranked
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Laguna XS.2
Not ranked
Qwen 3.6 Max (preview)
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
Qwen 3.6 Max (preview)
API rate not published
Fits in one request

Laguna XS.2 has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
Qwen 3.6 Max (preview)
API rate not published
Fits in one request

Laguna XS.2 has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Laguna XS.2
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Qwen 3.6 Max (preview)
API rate not published
Fits in one request
Cached-input rate unavailable

Laguna XS.2 has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Laguna XS.2

256K

Qwen 3.6 Max (preview)

256K

API model ID

Laguna XS.2

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Laguna XS.2

No comparable hosted API rate

Qwen 3.6 Max (preview)

No comparable hosted API rate

Documented inputs

Laguna XS.2

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Documented outputs

Laguna XS.2

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Provider availability

Laguna XS.2

Not sourced

Qwen 3.6 Max (preview)

Not sourced

Reasoning profile

Laguna XS.2

Reasoning

Qwen 3.6 Max (preview)

Reasoning

Weight access

Laguna XS.2

Open Weight

Qwen 3.6 Max (preview)

Proprietary

License

Laguna XS.2

Open Weight

Qwen 3.6 Max (preview)

Proprietary

Release date

Laguna XS.2

2026-04-28

Qwen 3.6 Max (preview)

2026-04-20

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Qwen 3.6 Max (preview) has the higher public score, 63.7 versus 1.53, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 256K.

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence16 rows

Agentic

  • Terminal-Bench 2.0

    Laguna XS.235.7%
    Source
    Qwen 3.6 Max (preview)65.4%
    Source

    Qwen 3.6 Max (preview) leads this result

  • Terminal-Bench 2.1 (Vals)

    Laguna XS.225.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • QwenClawBench

    Laguna XS.2—
    Qwen 3.6 Max (preview)59.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Laguna XS.269.9%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SWE Multilingual

    Laguna XS.257.7%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SWE-bench Pro

    Laguna XS.246.3%
    Source
    Qwen 3.6 Max (preview)57.3%
    Source

    Qwen 3.6 Max (preview) leads this result

  • Terminal-Bench 2.0

    Laguna XS.235.7%
    Source
    Qwen 3.6 Max (preview)65.4%
    Source

    Qwen 3.6 Max (preview) leads this result

  • LiveCodeBench (Vals)

    Laguna XS.267.8%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SWE-bench (Vals)

    Laguna XS.255.2%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SciCode

    Laguna XS.2—
    Qwen 3.6 Max (preview)47%
    Source

    Not directly comparable

  • NL2Repo

    Laguna XS.2—
    Qwen 3.6 Max (preview)42.9%
    Source

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    Laguna XS.255.1%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • MMLU-Pro (Vals)

    Laguna XS.269.1%
    Source
    Qwen 3.6 Max (preview)—

    Not directly comparable

  • SuperGPQA

    Laguna XS.2—
    Qwen 3.6 Max (preview)73.9%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Laguna XS.2—
    Qwen 3.6 Max (preview)23.103%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Laguna XS.2—
    Qwen 3.6 Max (preview)4.167%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Laguna XS.2 or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) has the higher public score, 63.7 versus 1.53, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Laguna XS.2 or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) scores higher for coding on the public lane, 57.6 to 24.7. Qwen 3.6 Max (preview) is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Laguna XS.2 or Qwen 3.6 Max (preview)?

Qwen 3.6 Max (preview) scores higher for agentic tasks on the public lane, 59.7 to 22.4. Laguna XS.2 and Qwen 3.6 Max (preview) are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Laguna XS.2 or Qwen 3.6 Max (preview)?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Laguna XS.2 or Qwen 3.6 Max (preview)?

Both models list the same context window, 256K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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