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Model A
Claude 4.1 Opus

Anthropic

42.01/100

Supported · Public rank #172

90% interval 36.947.1

Claude 4.1 Opus vs Qwen3.5 Plus

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

Alibaba logo
Model B
Qwen3.5 Plus

Alibaba

50.39/100

Estimated · Public rank #122

90% interval 38.961.9

Decision reading

Qwen3.5 Plus has the higher public score estimate, 50.39 versus 42.01, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 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.

  • Long documents

    Prompts that approach the documented context limit

    Qwen3.5 Plus

    Qwen3.5 Plus has the larger documented context window.

    Confidence: documented

  • 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

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

    Qwen3.5 Plus is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Claude 4.1 Opus and Qwen3.5 Plus are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.

    Confidence: limited

  • 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 4.1 Opus does not fit this workload in one request. Claude 4.1 Opus 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

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
1
Claude 4.1 Opus only
1
Qwen3.5 Plus only
3
Like-for-like categories
0 / 8

1 category rests 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
Claude 4.1 Opus
43.0
Estimated · #103/152
Qwen3.5 Plus
48.6
Estimated · #66/152
Basis
BenchAlign lane · 1 vs 1 public rows
Reading
Directional only

Coding

Not comparable
Claude 4.1 Opus
43.0
Estimated · #103/151
Qwen3.5 Plus
Not ranked
Basis
BenchAlign lane · 1 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
Not ranked
Basis
BenchAlign lane · 0 vs 0 public rows
Reading
Not comparable

Math

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
39.5
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude 4.1 Opus
Not ranked
Qwen3.5 Plus
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.

A shared-evidence shape is not available.

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

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 4.1 Opus
$0.0525
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 4.1 Opus
$0.975
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 4.1 Opus
$4.05
Does not fit 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

Claude 4.1 Opus does not fit this workload in one request. Claude 4.1 Opus 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 4.1 Opus

200K

Qwen3.5 Plus

1M

API model ID

Claude 4.1 Opus

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 4.1 Opus

Not published

Qwen3.5 Plus

Not published

Documented inputs

Claude 4.1 Opus

Not sourced

Qwen3.5 Plus

Not sourced

Documented outputs

Claude 4.1 Opus

Not sourced

Qwen3.5 Plus

Not sourced

Provider availability

Claude 4.1 Opus

Not sourced

Qwen3.5 Plus

Not sourced

Reasoning profile

Claude 4.1 Opus

Non-Reasoning

Qwen3.5 Plus

Reasoning

Weight access

Claude 4.1 Opus

Proprietary

Qwen3.5 Plus

Proprietary

License

Claude 4.1 Opus

Proprietary

Qwen3.5 Plus

Proprietary

Release date

Claude 4.1 Opus

2025-08-01

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
Qwen3.5 Plus has the higher public score estimate, 50.39 versus 42.01, but the 90% score intervals overlap.
Workload cost
Repository review: $0.975 vs $0.0272. Cache-heavy agent loop: $4.05 vs $0.112.
Context tradeoff
Qwen3.5 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 evidence5 rows

Agentic

  • Claude 4.1 Opus21.9%
    Qwen3.5 Plus18.5%

    Claude 4.1 Opus leads this result

Coding

  • SWE-bench Verified

    Claude 4.1 Opus74.5%
    Source
    Qwen3.5 Plus

    Not directly comparable

  • Vibe Code Bench

    Claude 4.1 Opus
    Qwen3.5 Plus15.74%
    Source

    Not directly comparable

Math

  • FrontierMath v2 (Tiers 1-3)

    Claude 4.1 Opus
    Qwen3.5 Plus21.034%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude 4.1 Opus
    Qwen3.5 Plus2.083%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude 4.1 Opus or Qwen3.5 Plus?

Qwen3.5 Plus has the higher public score estimate, 50.39 versus 42.01, 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 4.1 Opus or Qwen3.5 Plus?

Qwen3.5 Plus is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Claude 4.1 Opus or Qwen3.5 Plus?

Qwen3.5 Plus scores higher for agentic tasks on the public lane, 48.6 to 43. Claude 4.1 Opus and Qwen3.5 Plus 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, Claude 4.1 Opus or Qwen3.5 Plus?

For the stated presets, chat costs $0.0525 on Claude 4.1 Opus and $0.0016 on Qwen3.5 Plus; repository review costs $0.975 and $0.0272; the cache-heavy agent loop costs $4.05 and $0.112. Claude 4.1 Opus does not fit this workload in one request. Claude 4.1 Opus 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 4.1 Opus or Qwen3.5 Plus?

Qwen3.5 Plus has the larger documented context window: 1M, compared with 200K.

Related comparisons

Last updated September 10, 2026

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