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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 Qwen3.5-122B-A10B

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

Model B
Qwen3.5-122B-A10B

Alibaba

59.5/100

Supported · Public rank #61

90% interval 48.3–70.7

Decision reading

Claude Opus 4.6 has the higher public score estimate, 67.84 versus 59.47, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

7 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.

  • Agentic work

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

    Claude Opus 4.6

    Claude Opus 4.6 leads on the same 3 weighted benchmark rows.

    Confidence: stronger

  • Long documents

    Prompts that approach the documented context limit

    Claude Opus 4.6

    Claude Opus 4.6 has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    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

    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

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
7
Claude Opus 4.6 only
26
Qwen3.5-122B-A10B only
8
Like-for-like categories
1 / 8

2 categories use 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.

Agentic

Like-for-like
Claude Opus 4.6
73.0
Qwen3.5-122B-A10B
56.4
Weighted basis
3 vs 3 rows
Reading
Claude Opus 4.6 leads

Coding

Directional only
Claude Opus 4.6
68.1
Qwen3.5-122B-A10B
72.0
Weighted basis
3 vs 1 rows
Reading
Directional only

Knowledge

Directional only
Claude Opus 4.6
69.1
Qwen3.5-122B-A10B
83.6
Weighted basis
4 vs 3 rows
Reading
Directional only

Reasoning

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5-122B-A10B
60.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Claude Opus 4.6
36.3
Qwen3.5-122B-A10B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5-122B-A10B
82.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Opus 4.6
77.3
Qwen3.5-122B-A10B
77.2
Weighted basis
1 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Opus 4.6
Not measured
Qwen3.5-122B-A10B
93.4
Weighted basis
0 vs 1 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.

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
Qwen3.5-122B-A10B
Self-hosted; infrastructure cost varies
Fits in one request

Qwen3.5-122B-A10B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.6
$0.325
Fits in one request
Qwen3.5-122B-A10B
Self-hosted; infrastructure cost varies
Fits in one request

Qwen3.5-122B-A10B has no comparable published API token rate.

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
Qwen3.5-122B-A10B
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Claude Opus 4.6 has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5-122B-A10B 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 4.6

1M

Qwen3.5-122B-A10B

262K

API model ID

Claude Opus 4.6

Not sourced

Qwen3.5-122B-A10B

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

Qwen3.5-122B-A10B

No comparable hosted API rate

Documented inputs

Claude Opus 4.6

Not sourced

Qwen3.5-122B-A10B

Not sourced

Documented outputs

Claude Opus 4.6

Not sourced

Qwen3.5-122B-A10B

Not sourced

Provider availability

Claude Opus 4.6

Not sourced

Qwen3.5-122B-A10B

Not sourced

Reasoning profile

Claude Opus 4.6

Non-Reasoning

Qwen3.5-122B-A10B

Reasoning

Weight access

Claude Opus 4.6

Proprietary

Qwen3.5-122B-A10B

Open Weight

License

Claude Opus 4.6

Proprietary

Qwen3.5-122B-A10B

Open Weight

Release date

Claude Opus 4.6

2026-02-01

Qwen3.5-122B-A10B

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 59.47, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Claude Opus 4.6 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 evidence41 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.665.4%
    Source
    Qwen3.5-122B-A10B49.4%
    Source

    Claude Opus 4.6 leads this result

  • BrowseComp

    Claude Opus 4.683.7%
    Source
    Qwen3.5-122B-A10B63.8%
    Source

    Claude Opus 4.6 leads this result

  • OSWorld-Verified

    Claude Opus 4.672.7%
    Source
    Qwen3.5-122B-A10B58%
    Source

    Claude Opus 4.6 leads this result

  • Claw-Eval

    Claude Opus 4.670.4%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • DeepSearchQA

    Claude Opus 4.673.7%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • CyberGym

    Claude Opus 4.666.6%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • Gert Labs

    Claude Opus 4.661.85%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • ResearchClawBench

    Claude Opus 4.619.9%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • JobBench

    Claude Opus 4.636.7%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Opus 4.680.8%
    Source
    Qwen3.5-122B-A10B72%
    Source

    Claude Opus 4.6 leads this result

  • SWE-bench Verified*

    Claude Opus 4.675.6%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • LiveCodeBench Pro

    Claude Opus 4.670.7%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • SWE-bench Pro

    Claude Opus 4.653.4%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • SWE-Rebench

    Claude Opus 4.665.3%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • React Native Evals

    Claude Opus 4.684.1%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • Vibe Code Bench

    Claude Opus 4.657.57%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Opus 4.626.9%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

Reasoning

  • LongBench v2

    Claude Opus 4.6—
    Qwen3.5-122B-A10B60.2%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude Opus 4.691.3%
    Source
    Qwen3.5-122B-A10B86.6%
    Source

    Claude Opus 4.6 leads this result

  • GPQA-D

    Claude Opus 4.689.2%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • SuperGPQA

    Claude Opus 4.695%
    Source
    Qwen3.5-122B-A10B67.1%
    Source

    Claude Opus 4.6 leads this result

  • MMLU-Pro

    Claude Opus 4.682%
    Source
    Qwen3.5-122B-A10B86.7%
    Source

    Qwen3.5-122B-A10B leads this result

  • MMLU-Pro (Arcee)

    Claude Opus 4.689.1%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • HLE

    Claude Opus 4.653%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • HLE w/o tools

    Claude Opus 4.640%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • HealthBench Hard

    Claude Opus 4.614.8%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • MedXpertQA (Text)

    Claude Opus 4.652.1%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

Math

  • AIME25 (Arcee)

    Claude Opus 4.699.8%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Claude Opus 4.640.700%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Opus 4.622.900%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

Multilingual

  • MMLU-ProX

    Claude Opus 4.6—
    Qwen3.5-122B-A10B82.2%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Claude Opus 4.677.3%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • ERQA

    Claude Opus 4.651.6%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • ScreenSpot Pro

    Claude Opus 4.683.1%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • MedXpertQA (MM)

    Claude Opus 4.664.8%
    Source
    Qwen3.5-122B-A10B—

    Not directly comparable

  • MMMU

    Claude Opus 4.6—
    Qwen3.5-122B-A10B83.9%
    Source

    Not directly comparable

  • MMVU

    Claude Opus 4.6—
    Qwen3.5-122B-A10B74.7%
    Source

    Not directly comparable

  • MathVision

    Claude Opus 4.6—
    Qwen3.5-122B-A10B86.2%
    Source

    Not directly comparable

  • CharXiv

    Claude Opus 4.6—
    Qwen3.5-122B-A10B77.2%
    Source

    Not directly comparable

  • V*

    Claude Opus 4.6—
    Qwen3.5-122B-A10B93.2%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Claude Opus 4.6—
    Qwen3.5-122B-A10B93.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude Opus 4.6 or Qwen3.5-122B-A10B?

Claude Opus 4.6 has the higher public score estimate, 67.84 versus 59.47, 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 Qwen3.5-122B-A10B?

The current coding 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 is better for agentic tasks, Claude Opus 4.6 or Qwen3.5-122B-A10B?

Claude Opus 4.6 leads the like-for-like agentic tasks comparison across 3 shared weighted benchmark rows.

Which costs less, Claude Opus 4.6 or Qwen3.5-122B-A10B?

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 4.6 or Qwen3.5-122B-A10B?

Claude Opus 4.6 has the larger documented context window: 1M, compared with 262K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 13, 2026

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