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BenchLM
Model A
Claude Opus 4.5

Anthropic

63.6/100

Supported · Public rank #43

90% interval 50.0–77.3

Claude Opus 4.5 vs Qwen3.6 Plus

Updated August 17, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Qwen3.6 Plus

Alibaba

64.8/100

Supported · Public rank #36

90% interval 55.7–73.9

Decision reading

Qwen3.6 Plus has the higher public score estimate, 64.79 versus 63.63, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

40 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Claude Opus 4.5

    Claude Opus 4.5 leads on the same 2 weighted benchmark rows.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.6 Plus

    Qwen3.6 Plus has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Agentic work

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

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • 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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6 Plus has no comparable published API token rate.

    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

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
40
Claude Opus 4.5 only
5
Qwen3.6 Plus only
4
Like-for-like categories
7 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Coding

Like-for-like
Claude Opus 4.5
71.7
Qwen3.6 Plus
70.3
Weighted basis
2 vs 2 rows
Reading
Claude Opus 4.5 leads

Reasoning

Like-for-like
Claude Opus 4.5
64.4
Qwen3.6 Plus
62.0
Weighted basis
1 vs 1 rows
Reading
Claude Opus 4.5 leads

Knowledge

Like-for-like
Claude Opus 4.5
58.1
Qwen3.6 Plus
57.1
Weighted basis
4 vs 4 rows
Reading
Claude Opus 4.5 leads

Math

Like-for-like
Claude Opus 4.5
57.5
Qwen3.6 Plus
60.5
Weighted basis
4 vs 4 rows
Reading
Qwen3.6 Plus leads

Multilingual

Like-for-like
Claude Opus 4.5
85.7
Qwen3.6 Plus
84.7
Weighted basis
1 vs 1 rows
Reading
Claude Opus 4.5 leads

Multimodal

Like-for-like
Claude Opus 4.5
69.9
Qwen3.6 Plus
79.8
Weighted basis
2 vs 2 rows
Reading
Qwen3.6 Plus leads

Instruction following

Like-for-like
Claude Opus 4.5
69.5
Qwen3.6 Plus
82.3
Weighted basis
2 vs 2 rows
Reading
Qwen3.6 Plus leads

Agentic

Directional only
Claude Opus 4.5
62.6
Qwen3.6 Plus
61.6
Weighted basis
2 vs 1 rows
Reading
Directional only

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.

  • IFBench

    Instruction following

    Claude Opus 4.5: 58%Qwen3.6 Plus: 75.8%Normalized gap 17.8Shared source

  • CharXiv

    Multimodal

    Claude Opus 4.5: 68.5%Qwen3.6 Plus: 81.5%Normalized gap 13.0Shared source

  • MMMU-Pro

    Multimodal

    Claude Opus 4.5: 70.6%Qwen3.6 Plus: 78.8%Normalized gap 8.2Shared source

  • FrontierMath v2 (Tiers 1-3)

    Math

    Claude Opus 4.5: 20.690%Qwen3.6 Plus: 26.207%Normalized gap 5.5Shared source

  • FrontierMath v2 (Tier 4)

    Math

    Claude Opus 4.5: 4.167%Qwen3.6 Plus: 8.333%Normalized gap 4.2Shared source

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

Claude Opus 4.5
$0.0175
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

Claude Opus 4.5
$0.325
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

Claude Opus 4.5
$1.35
Does not fit 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

Claude Opus 4.5 does not fit this workload in one request. Claude Opus 4.5 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6 Plus 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.

Claude Opus 4.5

200K

Qwen3.6 Plus

1M

API model ID

Claude Opus 4.5

Not sourced

Qwen3.6 Plus

Not sourced

Cached-input rate

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

Claude Opus 4.5

Not published

Qwen3.6 Plus

No comparable hosted API rate

Documented inputs

Claude Opus 4.5

Not sourced

Qwen3.6 Plus

Not sourced

Documented outputs

Claude Opus 4.5

Not sourced

Qwen3.6 Plus

Not sourced

Provider availability

Claude Opus 4.5

Not sourced

Qwen3.6 Plus

Not sourced

Reasoning profile

Claude Opus 4.5

Non-Reasoning

Qwen3.6 Plus

Reasoning

Weight access

Claude Opus 4.5

Proprietary

Qwen3.6 Plus

Proprietary

License

Claude Opus 4.5

Proprietary

Qwen3.6 Plus

Proprietary

Release date

Claude Opus 4.5

2025-11-01

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
Qwen3.6 Plus has the higher public score estimate, 64.79 versus 63.63, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.6 Plus has the larger documented window (1M).

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 evidence49 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.559.3%
    Source
    Qwen3.6 Plus61.6%
    Source

    Qwen3.6 Plus leads this result

  • OSWorld-Verified

    Claude Opus 4.566.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • OSWorld

    Claude Opus 4.566.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Claw-Eval

    Claude Opus 4.559.6%
    Source
    Qwen3.6 Plus58.8%
    Source

    Claude Opus 4.5 leads this result

  • QwenClawBench

    Shared source
    Claude Opus 4.552.3%
    Qwen3.6 Plus57.2%

    Qwen3.6 Plus leads this result

  • τ³-bench results

    Shared source
    Claude Opus 4.570.2%
    Qwen3.6 Plus70.7%

    Qwen3.6 Plus leads this result

  • VITA-Bench

    Claude Opus 4.523.3%
    Source
    Qwen3.6 Plus44.3%
    Source

    Qwen3.6 Plus leads this result

  • DeepPlanning

    Shared source
    Claude Opus 4.526.4%
    Qwen3.6 Plus41.5%

    Qwen3.6 Plus leads this result

  • Toolathlon

    Shared source
    Claude Opus 4.543.5%
    Qwen3.6 Plus39.8%

    Claude Opus 4.5 leads this result

  • MCP Atlas

    Shared source
    Claude Opus 4.542.3%
    Qwen3.6 Plus48.2%

    Qwen3.6 Plus leads this result

  • MCP-Tasks

    Shared source
    Claude Opus 4.571.8%
    Qwen3.6 Plus74.1%

    Qwen3.6 Plus leads this result

  • WideResearch

    Shared source
    Claude Opus 4.576.4%
    Qwen3.6 Plus74.3%

    Claude Opus 4.5 leads this result

  • CyberGym

    Claude Opus 4.550.6%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Gert Labs

    Shared source
    Claude Opus 4.564.23%
    Qwen3.6 Plus50.60%

    Claude Opus 4.5 leads this result

  • JobBench

    Claude Opus 4.532.3%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • ResearchClawBench

    Claude Opus 4.5—
    Qwen3.6 Plus18.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Opus 4.580.9%
    Source
    Qwen3.6 Plus78.8%
    Source

    Claude Opus 4.5 leads this result

  • LiveCodeBench v6

    Shared source
    Claude Opus 4.584.8%
    Qwen3.6 Plus87.1%

    Qwen3.6 Plus leads this result

  • SWE-bench Pro

    Shared source
    Claude Opus 4.557.1%
    Qwen3.6 Plus56.6%

    Claude Opus 4.5 leads this result

  • SWE Multilingual

    Shared source
    Claude Opus 4.577.5%
    Qwen3.6 Plus73.8%

    Claude Opus 4.5 leads this result

  • NL2Repo

    Claude Opus 4.543.2%
    Source
    Qwen3.6 Plus—

    Not directly comparable

  • Vibe Code Bench

    Claude Opus 4.5—
    Qwen3.6 Plus25.56%
    Source

    Not directly comparable

  • EEBench

    Claude Opus 4.5—
    Qwen3.6 Plus12.7%
    Source

    Not directly comparable

Reasoning

  • LongBench v2

    Shared source
    Claude Opus 4.564.4%
    Qwen3.6 Plus62%

    Claude Opus 4.5 leads this result

  • AI-Needle

    Shared source
    Claude Opus 4.574%
    Qwen3.6 Plus68.3%

    Claude Opus 4.5 leads this result

Knowledge

  • GPQA

    Claude Opus 4.587%
    Source
    Qwen3.6 Plus90.4%
    Source

    Qwen3.6 Plus leads this result

  • SuperGPQA

    Shared source
    Claude Opus 4.570.6%
    Qwen3.6 Plus71.6%

    Qwen3.6 Plus leads this result

  • MMLU-Pro

    Shared source
    Claude Opus 4.589.5%
    Qwen3.6 Plus88.5%

    Claude Opus 4.5 leads this result

  • MMLU-Redux

    Shared source
    Claude Opus 4.596.6%
    Qwen3.6 Plus94.5%

    Claude Opus 4.5 leads this result

  • C-Eval

    Shared source
    Claude Opus 4.592.2%
    Qwen3.6 Plus93.3%

    Qwen3.6 Plus leads this result

  • HLE

    Shared source
    Claude Opus 4.530.8%
    Qwen3.6 Plus28.8%

    Claude Opus 4.5 leads this result

Math

  • AIME26

    Shared source
    Claude Opus 4.595.1%
    Qwen3.6 Plus95.3%

    Qwen3.6 Plus leads this result

  • HMMT Feb 2025

    Shared source
    Claude Opus 4.592.9%
    Qwen3.6 Plus96.7%

    Qwen3.6 Plus leads this result

  • HMMT Nov 2025

    Shared source
    Claude Opus 4.593.3%
    Qwen3.6 Plus94.6%

    Qwen3.6 Plus leads this result

  • HMMT Feb 2026

    Shared source
    Claude Opus 4.585.3%
    Qwen3.6 Plus87.8%

    Qwen3.6 Plus leads this result

  • MMAnswerBench

    Shared source
    Claude Opus 4.584.0%
    Qwen3.6 Plus83.8%

    Claude Opus 4.5 leads this result

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    Claude Opus 4.520.690%
    Qwen3.6 Plus26.207%

    Qwen3.6 Plus leads this result

  • FrontierMath v2 (Tier 4)

    Shared source
    Claude Opus 4.54.167%
    Qwen3.6 Plus8.333%

    Qwen3.6 Plus leads this result

Multilingual

  • MMLU-ProX

    Shared source
    Claude Opus 4.585.7%
    Qwen3.6 Plus84.7%

    Claude Opus 4.5 leads this result

  • NOVA-63

    Shared source
    Claude Opus 4.556.7%
    Qwen3.6 Plus57.9%

    Qwen3.6 Plus leads this result

Multimodal

  • MMMU-Pro

    Shared source
    Claude Opus 4.570.6%
    Qwen3.6 Plus78.8%

    Qwen3.6 Plus leads this result

  • MathVision

    Shared source
    Claude Opus 4.574.3%
    Qwen3.6 Plus88.0%

    Qwen3.6 Plus leads this result

  • CharXiv

    Shared source
    Claude Opus 4.568.5%
    Qwen3.6 Plus81.5%

    Qwen3.6 Plus leads this result

  • VideoMMMU

    Shared source
    Claude Opus 4.584.4%
    Qwen3.6 Plus84.0%

    Claude Opus 4.5 leads this result

  • ScreenSpot Pro

    Shared source
    Claude Opus 4.545.7%
    Qwen3.6 Plus68.2%

    Qwen3.6 Plus leads this result

  • V*

    Shared source
    Claude Opus 4.567.0%
    Qwen3.6 Plus96.9%

    Qwen3.6 Plus leads this result

  • MMMU

    Claude Opus 4.5—
    Qwen3.6 Plus86.0%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Shared source
    Claude Opus 4.590.9%
    Qwen3.6 Plus94.3%

    Qwen3.6 Plus leads this result

  • IFBench

    Shared source
    Claude Opus 4.558%
    Qwen3.6 Plus75.8%

    Qwen3.6 Plus leads this result

Frequently asked questions

Which is better, Claude Opus 4.5 or Qwen3.6 Plus?

Qwen3.6 Plus has the higher public score estimate, 64.79 versus 63.63, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Claude Opus 4.5 or Qwen3.6 Plus?

Claude Opus 4.5 leads the like-for-like coding comparison across 2 shared weighted benchmark rows.

Which is better for agentic tasks, Claude Opus 4.5 or Qwen3.6 Plus?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Claude Opus 4.5 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, Claude Opus 4.5 or Qwen3.6 Plus?

Qwen3.6 Plus has the larger documented context window: 1M, compared with 200K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 17, 2026

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