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BenchLM
Model A
Claude Opus 4.6

Anthropic

67.8/100

Supported · Public rank #20

90% interval 54.5–81.1

Claude Opus 4.6 vs Qwen3.5 Plus

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Qwen3.5 Plus

Alibaba

46.7/100

Estimated · Public rank #147

90% interval 32.8–60.7

Decision reading

Claude Opus 4.6 has the higher public score estimate, 67.84 versus 46.73, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

4 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.

  • Chat turn cost

    1K fresh input + 500 output tokens

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Claude Opus 4.6 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Show secondary and unsupported calls

  • Repository review cost

    50K fresh input + 3K output tokens

    Qwen3.5 Plus

    Qwen3.5 Plus has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    No clear pick

    The documented context windows are equal.

    Confidence: documented

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
4
Claude Opus 4.6 only
29
Qwen3.5 Plus only
0
Like-for-like categories
1 / 8

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.

Math

Like-for-like
Claude Opus 4.6
36.3
Qwen3.5 Plus
16.3
Weighted basis
2 vs 2 rows
Reading
Claude Opus 4.6 leads

Agentic

Not comparable
Claude Opus 4.6
73.0
Qwen3.5 Plus
Not measured
Weighted basis
3 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Claude Opus 4.6
68.1
Qwen3.5 Plus
Not measured
Weighted basis
3 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Opus 4.6
69.1
Qwen3.5 Plus
Not measured
Weighted basis
4 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Opus 4.6
77.3
Qwen3.5 Plus
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5 Plus
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

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.

  • FrontierMath v2 (Tier 4)

    Math

    Claude Opus 4.6: 22.900%Qwen3.5 Plus: 2.083%Normalized gap 20.8Shared source

  • FrontierMath v2 (Tiers 1-3)

    Math

    Claude Opus 4.6: 40.700%Qwen3.5 Plus: 21.034%Normalized gap 19.7Shared 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 4.6
$0.0175
Fits in one request
Qwen3.5 Plus
$0.0016
Fits in one request

Qwen3.5 Plus has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.6
$0.325
Fits in one request
Qwen3.5 Plus
$0.0272
Fits in one request

Qwen3.5 Plus has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Claude Opus 4.6
$1.35
Fits in one request
Cached input priced at the published list-input rate
Qwen3.5 Plus
$0.112
Fits in one request
Cached input priced at the published list-input rate

Qwen3.5 Plus has the lower modeled cost

Claude Opus 4.6 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input 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 4.6

1M

Qwen3.5 Plus

1M

API model ID

Claude Opus 4.6

Not sourced

Qwen3.5 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 4.6

Not published

Qwen3.5 Plus

Not published

Documented inputs

Claude Opus 4.6

Not sourced

Qwen3.5 Plus

Not sourced

Documented outputs

Claude Opus 4.6

Not sourced

Qwen3.5 Plus

Not sourced

Provider availability

Claude Opus 4.6

Not sourced

Qwen3.5 Plus

Not sourced

Reasoning profile

Claude Opus 4.6

Non-Reasoning

Qwen3.5 Plus

Reasoning

Weight access

Claude Opus 4.6

Proprietary

Qwen3.5 Plus

Proprietary

License

Claude Opus 4.6

Proprietary

Qwen3.5 Plus

Proprietary

Release date

Claude Opus 4.6

2026-02-01

Qwen3.5 Plus

2026-03-04

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
Claude Opus 4.6 has the higher public score estimate, 67.84 versus 46.73, but the 90% score intervals overlap.
Workload cost
Repository review: $0.325 vs $0.0272. Cache-heavy agent loop: $1.35 vs $0.112.
Context tradeoff
Both models list 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 evidence33 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.665.4%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • BrowseComp

    Claude Opus 4.683.7%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • OSWorld-Verified

    Claude Opus 4.672.7%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • Claw-Eval

    Claude Opus 4.670.4%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • DeepSearchQA

    Claude Opus 4.673.7%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • CyberGym

    Claude Opus 4.666.6%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • Gert Labs

    Claude Opus 4.661.85%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • ResearchClawBench

    Claude Opus 4.619.9%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • JobBench

    Shared source
    Claude Opus 4.636.7%
    Qwen3.5 Plus18.5%

    Claude Opus 4.6 leads this result

Coding

  • SWE-bench Verified

    Claude Opus 4.680.8%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • SWE-bench Verified*

    Claude Opus 4.675.6%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • LiveCodeBench Pro

    Claude Opus 4.670.7%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • SWE-bench Pro

    Claude Opus 4.653.4%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • SWE-Rebench

    Claude Opus 4.665.3%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • React Native Evals

    Claude Opus 4.684.1%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • Vibe Code Bench

    Shared source
    Claude Opus 4.657.57%
    Qwen3.5 Plus15.74%

    Claude Opus 4.6 leads this result

  • FrontierCode 1.1 Main

    Claude Opus 4.626.9%
    Source
    Qwen3.5 Plus—

    Not directly comparable

Knowledge

  • GPQA

    Claude Opus 4.691.3%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • GPQA-D

    Claude Opus 4.689.2%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • SuperGPQA

    Claude Opus 4.695%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • MMLU-Pro

    Claude Opus 4.682%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • MMLU-Pro (Arcee)

    Claude Opus 4.689.1%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • HLE

    Claude Opus 4.653%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • HLE w/o tools

    Claude Opus 4.640%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • HealthBench Hard

    Claude Opus 4.614.8%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • MedXpertQA (Text)

    Claude Opus 4.652.1%
    Source
    Qwen3.5 Plus—

    Not directly comparable

Math

  • AIME25 (Arcee)

    Claude Opus 4.699.8%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    Claude Opus 4.640.700%
    Qwen3.5 Plus21.034%

    Claude Opus 4.6 leads this result

  • FrontierMath v2 (Tier 4)

    Shared source
    Claude Opus 4.622.900%
    Qwen3.5 Plus2.083%

    Claude Opus 4.6 leads this result

Multimodal

  • MMMU-Pro

    Claude Opus 4.677.3%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • ERQA

    Claude Opus 4.651.6%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • ScreenSpot Pro

    Claude Opus 4.683.1%
    Source
    Qwen3.5 Plus—

    Not directly comparable

  • MedXpertQA (MM)

    Claude Opus 4.664.8%
    Source
    Qwen3.5 Plus—

    Not directly comparable

Frequently asked questions

Which is better, Claude Opus 4.6 or Qwen3.5 Plus?

Claude Opus 4.6 has the higher public score estimate, 67.84 versus 46.73, 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 4.6 or Qwen3.5 Plus?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Claude Opus 4.6 or Qwen3.5 Plus?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Claude Opus 4.6 or Qwen3.5 Plus?

For the stated presets, chat costs $0.0175 on Claude Opus 4.6 and $0.0016 on Qwen3.5 Plus; repository review costs $0.325 and $0.0272; the cache-heavy agent loop costs $1.35 and $0.112. Claude Opus 4.6 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Opus 4.6 or Qwen3.5 Plus?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 13, 2026

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