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BenchLM
Data

Quasar 438B vs Qwen3.6 Plus

Updated October 17, 2026. Rank says Qwen3.6 Plus is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Multiverse Computing

48.46/100

Estimated · Public rank #102

Conditional range 34.1–62.8

Model B
Alibaba logo

Alibaba

53.78/100

Supported · Public rank #75

90% interval 44.2–63.4

Shared results
0
Quasar 438B only
2
Qwen3.6 Plus only
49
Like-for-like categories
0 / 8
Estimated: Quasar 438B · Supported: Qwen3.6 Plus. Conditional ranges do not establish rank confidence.How the comparison works

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

    Quasar 438B 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

    Quasar 438B is 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: rate-fallback
  • 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

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

41.2Quasar 438B40.0Qwen3.6 Plus

Directional only · BenchAlign v5.8

Quasar 438B has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

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

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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 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
Quasar 438B
40.0
Estimated · #67/128
Qwen3.6 Plus
34.4
Supported · #83/128
Basis
BenchAlign v5.8 lane · 1 vs 13 public rows
Reading
Directional only

Coding

Directional only
Quasar 438B
41.2
Estimated · #63/150
Qwen3.6 Plus
40.0
Supported · #66/150
Basis
BenchAlign v5.8 lane · 1 vs 9 public rows
Reading
Directional only

Knowledge

Directional only
Quasar 438B
46.7
Estimated · #92/184
Qwen3.6 Plus
53.4
Supported · #66/184
Basis
BenchAlign v5.8 lane · 0 vs 8 public rows
Reading
Directional only

Reasoning

Not comparable
Quasar 438B
78.3
Unranked · 2 rankable rows
Qwen3.6 Plus
74.7
Unranked · 4 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Quasar 438B
Not ranked
Qwen3.6 Plus
76.1
#21/54
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Quasar 438B
Not ranked
Qwen3.6 Plus
93.8
#4/17
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Quasar 438B
Not ranked
Qwen3.6 Plus
85.8
#47/148
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Quasar 438B
Not ranked
Qwen3.6 Plus
69.5
#6/12
Basis
Provisional lane · 0 vs 3 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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

Quasar 438B
$0.0015
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Quasar 438B
$0.0354
Fits in one request
Qwen3.6 Plus
API rate not published
Fits in one request

Qwen3.6 Plus has no comparable published API token rate.

Cache-heavy agent loop

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

Quasar 438B
$0.15
Fits in one request
Cached input priced at the published list-input rate
Qwen3.6 Plus
API rate not published
Fits in one request
Cached-input rate unavailable

Quasar 438B has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6 Plus has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

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.

Qwen3.6 Plus

1M

Cached-input rate

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

Quasar 438B

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Quasar 438B

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Quasar 438B

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Quasar 438B

Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Quasar 438B

Proprietary

Qwen3.6 Plus

Proprietary

License

Quasar 438B

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Quasar 438B

2026-09-02

Qwen3.6 Plus

2026-04-02

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Quasar 438B or Qwen3.6 Plus?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Quasar 438B or Qwen3.6 Plus?

Quasar 438B scores higher for coding on the public lane, 41.2 to 40. Quasar 438B 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, Quasar 438B or Qwen3.6 Plus?

Quasar 438B scores higher for agentic tasks on the public lane, 40 to 34.4. Quasar 438B is 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, Quasar 438B or Qwen3.6 Plus?

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, Quasar 438B or Qwen3.6 Plus?

Both models list the same context window, 1M.

Benchmark evidence

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

Browse raw public benchmark evidence51 rows

Agentic

  • Terminal-Bench 2.1

    Quasar 438B69.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Terminal-Bench 2.0

    Quasar 438B—
    Qwen3.6 Plus61.6%
    Source

    Not directly comparable

  • Claw-Eval

    Quasar 438B—
    Qwen3.6 Plus58.8%
    Source

    Not directly comparable

  • QwenClawBench

    Quasar 438B—
    Qwen3.6 Plus57.2%
    Source

    Not directly comparable

  • τ³-bench results

    Quasar 438B—
    Qwen3.6 Plus70.7%
    Source

    Not directly comparable

  • VITA-Bench

    Quasar 438B—
    Qwen3.6 Plus44.3%
    Source

    Not directly comparable

  • DeepPlanning

    Quasar 438B—
    Qwen3.6 Plus41.5%
    Source

    Not directly comparable

  • Toolathlon

    Quasar 438B—
    Qwen3.6 Plus39.8%
    Source

    Not directly comparable

  • MCP Atlas

    Quasar 438B—
    Qwen3.6 Plus48.2%
    Source

    Not directly comparable

  • MCP-Tasks

    Quasar 438B—
    Qwen3.6 Plus74.1%
    Source

    Not directly comparable

  • WideResearch

    Quasar 438B—
    Qwen3.6 Plus74.3%
    Source

    Not directly comparable

  • Gert Labs

    Quasar 438B—
    Qwen3.6 Plus50.60%
    Source

    Not directly comparable

  • ResearchClawBench

    Quasar 438B—
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Quasar 438B—
    Qwen3.6 Plus53.2%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.1

    Quasar 438B69.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • SWE-bench Verified

    Quasar 438B—
    Qwen3.6 Plus78.8%
    Source

    Not directly comparable

  • SWE-bench Pro

    Quasar 438B—
    Qwen3.6 Plus56.6%
    Source

    Not directly comparable

  • SWE Multilingual

    Quasar 438B—
    Qwen3.6 Plus73.8%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Quasar 438B—
    Qwen3.6 Plus87.1%
    Source

    Not directly comparable

  • NL2Repo

    Quasar 438B—
    Qwen3.6 Plus37.9%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Quasar 438B—
    Qwen3.6 Plus61.6%
    Source

    Not directly comparable

  • Vibe Code Bench

    Quasar 438B—
    Qwen3.6 Plus25.56%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Quasar 438B—
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Quasar 438B—
    Qwen3.6 Plus73.4%
    Source

    Not directly comparable

Reasoning

  • AI-Needle

    Quasar 438B—
    Qwen3.6 Plus68.3%
    Source

    Not directly comparable

  • LongBench v2

    Quasar 438B—
    Qwen3.6 Plus62%
    Source

    Not directly comparable

Multimodal

  • MMMU

    Quasar 438B—
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

  • MMMU-Pro

    Quasar 438B—
    Qwen3.6 Plus78.8%
    Source

    Not directly comparable

  • MathVision

    Quasar 438B—
    Qwen3.6 Plus88.0%
    Source

    Not directly comparable

  • VideoMMMU

    Quasar 438B—
    Qwen3.6 Plus84.0%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Quasar 438B—
    Qwen3.6 Plus68.2%
    Source

    Not directly comparable

  • CharXiv

    Quasar 438B—
    Qwen3.6 Plus81.5%
    Source

    Not directly comparable

  • V*

    Quasar 438B—
    Qwen3.6 Plus96.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Quasar 438B—
    Qwen3.6 Plus90.4%
    Source

    Not directly comparable

  • SuperGPQA

    Quasar 438B—
    Qwen3.6 Plus71.6%
    Source

    Not directly comparable

  • MMLU-Pro

    Quasar 438B—
    Qwen3.6 Plus88.5%
    Source

    Not directly comparable

  • MMLU-Redux

    Quasar 438B—
    Qwen3.6 Plus94.5%
    Source

    Not directly comparable

  • C-Eval

    Quasar 438B—
    Qwen3.6 Plus93.3%
    Source

    Not directly comparable

  • HLE

    Quasar 438B—
    Qwen3.6 Plus28.8%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Quasar 438B—
    Qwen3.6 Plus87.4%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Quasar 438B—
    Qwen3.6 Plus87.7%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Quasar 438B—
    Qwen3.6 Plus84.7%
    Source

    Not directly comparable

  • NOVA-63

    Quasar 438B—
    Qwen3.6 Plus57.9%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Quasar 438B—
    Qwen3.6 Plus94.3%
    Source

    Not directly comparable

  • IFBench

    Quasar 438B—
    Qwen3.6 Plus75.8%
    Source

    Not directly comparable

Math

  • AIME26

    Quasar 438B—
    Qwen3.6 Plus95.3%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Quasar 438B—
    Qwen3.6 Plus96.7%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Quasar 438B—
    Qwen3.6 Plus94.6%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Quasar 438B—
    Qwen3.6 Plus87.8%
    Source

    Not directly comparable

  • MMAnswerBench

    Quasar 438B—
    Qwen3.6 Plus83.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Quasar 438B—
    Qwen3.6 Plus38.246%
    Source

    Not directly comparable

51 public results · 0 shared

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Last updated October 17, 2026