Skip to main content
BenchLM
Data

Claude Opus 4.5 vs Qwen3.5 397B

Updated October 29, 2026. Rank says Qwen3.5 397B is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Share or export
Share on XLinkedInAPI/MCP

Decision reading

Qwen3.5 397B has the higher public point estimate, 55.47 versus 53.35. Their conditional score ranges overlap. These ranges do not establish rank confidence. 56 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Anthropic logo
Claude Opus 4.5

Anthropic

53.35/100

Supported · Public rank #84

90% interval 40.0–66.7

Model B
Alibaba logo
Qwen3.5 397B

Alibaba

55.47/100

Estimated · Public rank #67

Conditional range 41.1–69.8

Shared results
56
Claude Opus 4.5 only
5
Qwen3.5 397B only
6
Like-for-like categories
3 / 8
Supported: Claude Opus 4.5 · Estimated: Qwen3.5 397B. 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.

  • Long documents

    Prompts that approach the documented context limit

    Claude Opus 4.5

    Claude Opus 4.5 has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Qwen3.5 397B

    Qwen3.5 397B 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 397B

    Qwen3.5 397B 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 397B 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 Opus 4.5 and Qwen3.5 397B 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 Opus 4.5 does not fit this workload in one request. Qwen3.5 397B 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. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

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.

41.5Claude Opus 4.5—Qwen3.5 397B

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

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

Open the coding leaderboardShortlist models for this job
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.

2 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.

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.

Bars run 0–100 on each benchmark’s normalized display scale

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.

Multimodal

Like-for-like
Claude Opus 4.5
49.4
#53/58
Qwen3.5 397B
73.3
#31/58
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Qwen3.5 397B leads

Multilingual

Like-for-like
Claude Opus 4.5
96.5
#2/17
Qwen3.5 397B
93.8
#5/17
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Claude Opus 4.5 leads

Instruction following

Like-for-like
Claude Opus 4.5
31.9
#139/157
Qwen3.5 397B
79.9
#63/157
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Qwen3.5 397B leads

Agentic

Directional only
Claude Opus 4.5
34.2
Estimated · #95/135
Qwen3.5 397B
46.2
Estimated · #61/135
Basis
BenchAlign v5.8 lane · 15 vs 14 public rows
Reading
Directional only

Knowledge

Directional only
Claude Opus 4.5
50.5
Estimated · #78/179
Qwen3.5 397B
53.0
Estimated · #66/179
Basis
BenchAlign v5.8 lane · 6 vs 6 public rows
Reading
Directional only

Coding

Not comparable
Claude Opus 4.5
41.5
Estimated · #66/156
Qwen3.5 397B
Not ranked
Basis
BenchAlign v5.8 lane · 6 vs 6 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude Opus 4.5
77.5
Unranked · 4 rankable rows
Qwen3.5 397B
74.1
Unranked · 2 rankable rows
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Opus 4.5
61.3
#9/12
Qwen3.5 397B
81.7
Unranked · 5 rankable rows
Basis
Provisional lane · 4 vs 2 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.

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

Claude Opus 4.5
$0.0175
Fits in one request
Qwen3.5 397B
$0.0024
Fits in one request

Qwen3.5 397B has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.5
$0.325
Fits in one request
Qwen3.5 397B
$0.0408
Fits in one request

Qwen3.5 397B 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 4.5
$1.35
Does not fit in one request
Cached input priced at the published list-input rate
Qwen3.5 397B
$0.168
Does not fit in one request
Cached input priced at the published list-input rate

Claude Opus 4.5 does not fit this workload in one request. Qwen3.5 397B 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. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input 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.

Claude Opus 4.5

200K

Qwen3.5 397B

128K

API model ID

Claude Opus 4.5

Not sourced

Qwen3.5 397B

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

Qwen3.5 397B

Not published

Documented inputs

Claude Opus 4.5

Not sourced

Qwen3.5 397B

Not sourced

Documented outputs

Claude Opus 4.5

Not sourced

Qwen3.5 397B

Not sourced

Provider availability

Claude Opus 4.5

Not sourced

Qwen3.5 397B

Not sourced

Reasoning profile

Claude Opus 4.5

Non-Reasoning

Qwen3.5 397B

Non-Reasoning

Weight access

Claude Opus 4.5

Proprietary

Qwen3.5 397B

Open Weight

License

Claude Opus 4.5

Proprietary

Qwen3.5 397B

Open Weight

Release date

Claude Opus 4.5

2025-11-24

Qwen3.5 397B

2026-02-16

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 397B has the higher public point estimate, 55.47 versus 53.35. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
Repository review: $0.325 vs $0.0408. Cache-heavy agent loop: $1.35 vs $0.168.
Context tradeoff
Claude Opus 4.5 has the larger documented window (200K).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Opus 4.5 or Qwen3.5 397B?

Qwen3.5 397B has the higher public point estimate, 55.47 versus 53.35. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Claude Opus 4.5 or Qwen3.5 397B?

Qwen3.5 397B is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Claude Opus 4.5 or Qwen3.5 397B?

Qwen3.5 397B scores higher for agentic tasks on the public lane, 46.2 to 34.2. Claude Opus 4.5 and Qwen3.5 397B 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 Opus 4.5 or Qwen3.5 397B?

For the stated presets, chat costs $0.0175 on Claude Opus 4.5 and $0.0024 on Qwen3.5 397B; repository review costs $0.325 and $0.0408; the cache-heavy agent loop costs $1.35 and $0.168. Claude Opus 4.5 does not fit this workload in one request. Qwen3.5 397B 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. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude Opus 4.5 or Qwen3.5 397B?

Claude Opus 4.5 has the larger documented context window: 200K, compared with 128K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Claude Opus 4.5
API / mo$22,500
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Qwen3.5 397B
API / mo$3,150
Self-host / mo$13,981
Break-even311M/day
Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence67 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.559.3%
    Source
    Qwen3.5 397B52.5%
    Source

    Claude Opus 4.5 leads this result

  • OSWorld-Verified

    Claude Opus 4.566.3%
    Source
    Qwen3.5 397B62.2%
    Source

    Claude Opus 4.5 leads this result

  • OSWorld

    Claude Opus 4.566.3%
    Source
    Qwen3.5 397B—

    Not directly comparable

  • Claw-Eval

    Claude Opus 4.559.6%
    Source
    Qwen3.5 397B56.8%
    Source

    Claude Opus 4.5 leads this result

  • QwenClawBench

    Shared source
    Claude Opus 4.552.3%
    Qwen3.5 397B51.8%

    Claude Opus 4.5 leads this result

  • τ³-bench results

    Shared source
    Claude Opus 4.570.2%
    Qwen3.5 397B68.4%

    Claude Opus 4.5 leads this result

  • VITA-Bench

    Claude Opus 4.523.3%
    Source
    Qwen3.5 397B43.7%
    Source

    Qwen3.5 397B leads this result

  • DeepPlanning

    Shared source
    Claude Opus 4.526.4%
    Qwen3.5 397B37.6%

    Qwen3.5 397B leads this result

  • Toolathlon

    Shared source
    Claude Opus 4.543.5%
    Qwen3.5 397B36.3%

    Claude Opus 4.5 leads this result

  • MCP Atlas

    Shared source
    Claude Opus 4.542.3%
    Qwen3.5 397B46.1%

    Qwen3.5 397B leads this result

  • MCP-Tasks

    Shared source
    Claude Opus 4.571.8%
    Qwen3.5 397B74.2%

    Qwen3.5 397B leads this result

  • WideResearch

    Shared source
    Claude Opus 4.576.4%
    Qwen3.5 397B74.0%

    Claude Opus 4.5 leads this result

  • CyberGym

    Claude Opus 4.550.6%
    Source
    Qwen3.5 397B—

    Not directly comparable

  • Gert Labs

    Shared source
    Claude Opus 4.564.23%
    Qwen3.5 397B46.76%

    Claude Opus 4.5 leads this result

  • JobBench

    Claude Opus 4.532.3%
    Source
    Qwen3.5 397B—

    Not directly comparable

  • BrowseComp

    Claude Opus 4.5—
    Qwen3.5 397B69%
    Source

    Not directly comparable

  • ResearchClawBench

    Claude Opus 4.5—
    Qwen3.5 397B14.2%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Opus 4.580.9%
    Source
    Qwen3.5 397B76.2%
    Source

    Claude Opus 4.5 leads this result

  • LiveCodeBench v6

    Shared source
    Claude Opus 4.584.8%
    Qwen3.5 397B83.6%

    Claude Opus 4.5 leads this result

  • SWE-bench Pro

    Shared source
    Claude Opus 4.557.1%
    Qwen3.5 397B50.9%

    Claude Opus 4.5 leads this result

  • SWE Multilingual

    Claude Opus 4.577.5%
    Source
    Qwen3.5 397B69.3%
    Source

    Claude Opus 4.5 leads this result

  • NL2Repo

    Claude Opus 4.543.2%
    Source
    Qwen3.5 397B32.2%
    Source

    Claude Opus 4.5 leads this result

  • Terminal-Bench 2.0

    Claude Opus 4.559.3%
    Source
    Qwen3.5 397B52.5%
    Source

    Claude Opus 4.5 leads this result

Reasoning

  • LongBench v2

    Shared source
    Claude Opus 4.564.4%
    Qwen3.5 397B63.2%

    Claude Opus 4.5 leads this result

  • AI-Needle

    Shared source
    Claude Opus 4.574%
    Qwen3.5 397B68.7%

    Claude Opus 4.5 leads this result

Multimodal

  • MMMU

    Shared source
    Claude Opus 4.580.7%
    Qwen3.5 397B85.0%

    Qwen3.5 397B leads this result

  • MMMU-Pro

    Shared source
    Claude Opus 4.570.6%
    Qwen3.5 397B79%

    Qwen3.5 397B leads this result

  • RealWorldQA

    Shared source
    Claude Opus 4.577.0%
    Qwen3.5 397B83.9%

    Qwen3.5 397B leads this result

  • OmniDocBench 1.5

    Shared source
    Claude Opus 4.587.7%
    Qwen3.5 397B90.8%

    Qwen3.5 397B leads this result

  • Video-MME (with subtitle)

    Shared source
    Claude Opus 4.577.6%
    Qwen3.5 397B87.5%

    Qwen3.5 397B leads this result

  • Video-MME (w/o subtitle)

    Shared source
    Claude Opus 4.581.4%
    Qwen3.5 397B83.7%

    Qwen3.5 397B leads this result

  • MathVision

    Shared source
    Claude Opus 4.574.3%
    Qwen3.5 397B88.6%

    Qwen3.5 397B leads this result

  • We-Math

    Shared source
    Claude Opus 4.570.0%
    Qwen3.5 397B87.9%

    Qwen3.5 397B leads this result

  • DynaMath

    Shared source
    Claude Opus 4.579.7%
    Qwen3.5 397B86.3%

    Qwen3.5 397B leads this result

  • SimpleVQA

    Shared source
    Claude Opus 4.565.7%
    Qwen3.5 397B67.1%

    Qwen3.5 397B leads this result

  • CharXiv

    Shared source
    Claude Opus 4.568.5%
    Qwen3.5 397B80.8%

    Qwen3.5 397B leads this result

  • CountBench

    Shared source
    Claude Opus 4.590.6%
    Qwen3.5 397B97.2%

    Qwen3.5 397B leads this result

  • AI2D_TEST

    Shared source
    Claude Opus 4.587.7%
    Qwen3.5 397B93.9%

    Qwen3.5 397B leads this result

  • ERQA

    Shared source
    Claude Opus 4.546.8%
    Qwen3.5 397B67.5%

    Qwen3.5 397B leads this result

  • VideoMMMU

    Shared source
    Claude Opus 4.584.4%
    Qwen3.5 397B84.7%

    Qwen3.5 397B leads this result

  • MLVU (M-Avg)

    Shared source
    Claude Opus 4.581.7%
    Qwen3.5 397B86.7%

    Qwen3.5 397B leads this result

  • ScreenSpot Pro

    Shared source
    Claude Opus 4.545.7%
    Qwen3.5 397B65.6%

    Qwen3.5 397B leads this result

  • V*

    Shared source
    Claude Opus 4.567.0%
    Qwen3.5 397B95.8%

    Qwen3.5 397B leads this result

  • MMLongBench-Doc

    Claude Opus 4.5—
    Qwen3.5 397B61.5%
    Source

    Not directly comparable

  • CC-OCR

    Claude Opus 4.5—
    Qwen3.5 397B82.0%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Claude Opus 4.5—
    Qwen3.5 397B92.3%
    Source

    Not directly comparable

  • ODINW13

    Claude Opus 4.5—
    Qwen3.5 397B47.0%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude Opus 4.587%
    Source
    Qwen3.5 397B88.4%
    Source

    Qwen3.5 397B leads this result

  • SuperGPQA

    Shared source
    Claude Opus 4.570.6%
    Qwen3.5 397B70.4%

    Claude Opus 4.5 leads this result

  • MMLU-Pro

    Shared source
    Claude Opus 4.589.5%
    Qwen3.5 397B87.8%

    Claude Opus 4.5 leads this result

  • MMLU-Redux

    Shared source
    Claude Opus 4.596.6%
    Qwen3.5 397B94.9%

    Claude Opus 4.5 leads this result

  • C-Eval

    Shared source
    Claude Opus 4.592.2%
    Qwen3.5 397B93%

    Qwen3.5 397B leads this result

  • HLE

    Shared source
    Claude Opus 4.530.8%
    Qwen3.5 397B28.7%

    Claude Opus 4.5 leads this result

Multilingual

  • MMLU-ProX

    Shared source
    Claude Opus 4.585.7%
    Qwen3.5 397B84.7%

    Claude Opus 4.5 leads this result

  • NOVA-63

    Shared source
    Claude Opus 4.556.7%
    Qwen3.5 397B59.1%

    Qwen3.5 397B leads this result

  • INCLUDE

    Shared source
    Claude Opus 4.586.2%
    Qwen3.5 397B85.6%

    Claude Opus 4.5 leads this result

  • PolyMath

    Shared source
    Claude Opus 4.579.0%
    Qwen3.5 397B73.3%

    Claude Opus 4.5 leads this result

  • MAXIFE

    Shared source
    Claude Opus 4.579.2%
    Qwen3.5 397B88.2%

    Qwen3.5 397B leads this result

Instruction following

  • IFEval

    Shared source
    Claude Opus 4.590.9%
    Qwen3.5 397B92.6%

    Qwen3.5 397B leads this result

  • IFBench

    Claude Opus 4.558%
    Source
    Qwen3.5 397B76.5%
    Source

    Qwen3.5 397B leads this result

Math

  • AIME26

    Shared source
    Claude Opus 4.595.1%
    Qwen3.5 397B93.3%

    Claude Opus 4.5 leads this result

  • HMMT Feb 2025

    Shared source
    Claude Opus 4.592.9%
    Qwen3.5 397B94.8%

    Qwen3.5 397B leads this result

  • HMMT Nov 2025

    Shared source
    Claude Opus 4.593.3%
    Qwen3.5 397B92.7%

    Claude Opus 4.5 leads this result

  • HMMT Feb 2026

    Shared source
    Claude Opus 4.585.3%
    Qwen3.5 397B87.9%

    Qwen3.5 397B leads this result

  • MMAnswerBench

    Shared source
    Claude Opus 4.584.0%
    Qwen3.5 397B80.9%

    Claude Opus 4.5 leads this result

  • FrontierMath v2 (Tiers 1-3)

    Claude Opus 4.534.386%
    Source
    Qwen3.5 397B—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Opus 4.54.878%
    Source
    Qwen3.5 397B—

    Not directly comparable

67 public results · 56 shared

Related comparisons

Compare API pricingRead the methodologyOpen the model selector

Watch Claude Opus 4.5 vs Qwen3.5 397B

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 6,100+ subscribers.

Last updated October 29, 2026