Claude Sonnet 5 vs Qwen3.7 Plus

Updated November 13, 2026. Rank says Claude Sonnet 5 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

Claude Sonnet 5 has the higher public point estimate, 63.83 versus 53.68. Their conditional score ranges overlap. These ranges do not establish rank confidence. 8 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Claude Sonnet 5

Anthropic

63.83/100

Supported · Public rank #34

90% interval 58.3–69.4

Model B

Qwen3.7 Plus

Alibaba

53.68/100

Estimated · Public rank #75

Conditional range 44.0–63.4

API price per 1M tokens

Claude Sonnet 5: $2 input / $10 output

Qwen3.7 Plus: No comparable API price

Context window

Claude Sonnet 5: 1M

Qwen3.7 Plus: 1M

Released

Claude Sonnet 5: June 30, 2026

Qwen3.7 Plus: June 3, 2026

Shared results: 8
Claude Sonnet 5 only: 24
Qwen3.7 Plus only: 45
Like-for-like categories: 1 / 8

Supported: Claude Sonnet 5 · Estimated: Qwen3.7 Plus. 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.

Agentic work
Tool use, computer use, and multi-step task completion
Claude Sonnet 5
Claude Sonnet 5 has the higher public agentic point estimate, 62.5 to 34.8, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Confidence: limited

Show secondary and unsupported calls

Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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: listed-rates
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

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.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

51.7Claude Sonnet 540.2Qwen3.7 Plus

Directional only · BenchAlign v5.8

Claude Sonnet 5 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

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

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

Or describe your own job

The LLM Selector reads what you need a model for and returns a shortlist, ranked in the same order the job pages publish.

What do you need a model for?

Describe the task and constraints. This selector recommends models; it cannot carry out the task or access your files and accounts.

We keep what you type here, drafts included, for 180 days, and after that only the job and requirements read from it. Nothing is tied to your IP address or account. Leave out names and other personal details. Privacy

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 (Tiers 1-3)Math
Normalized gap 31.2
Claude Sonnet 5:65.614%
Qwen3.7 Plus:34.386%
Shared source
HLEKnowledge
Normalized gap 22.7
Claude Sonnet 5:57.4%
Qwen3.7 Plus:34.7%
Claude Sonnet 5 source Qwen3.7 Plus source
OSWorld-VerifiedAgentic
Normalized gap 7.9
Claude Sonnet 5:81.2%
Qwen3.7 Plus:73.3%
Claude Sonnet 5 source Qwen3.7 Plus source
SWE-bench VerifiedCoding
Normalized gap 7.5
Claude Sonnet 5:85.2%
Qwen3.7 Plus:77.7%
Claude Sonnet 5 source Qwen3.7 Plus source
SWE-bench ProCoding
Normalized gap 5.6
Claude Sonnet 5:63.2%
Qwen3.7 Plus:57.6%
Claude Sonnet 5 source Qwen3.7 Plus source

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, reasoning, multimodal, 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

Like-for-like

Claude Sonnet 5: 62.5; Supported · #22/135
Qwen3.7 Plus: 34.8; Supported · #84/135
Basis: BenchAlign v5.8 lane · 10 vs 11 public rows
Reading: Claude Sonnet 5 leads

Coding

Directional only

Claude Sonnet 5: 51.7; Supported · #40/162
Qwen3.7 Plus: 40.2; Estimated · #71/162
Basis: BenchAlign v5.8 lane · 11 vs 7 public rows
Reading: Directional only

Reasoning

Directional only

Claude Sonnet 5: 59.8; Estimated · #32/160
Qwen3.7 Plus: 46.3; Estimated · #62/160
Basis: BenchAlign v5.8 lane · 0 vs 2 public rows
Reading: Directional only

Multimodal

Directional only

Claude Sonnet 5: 60.4; Supported · #34/67
Qwen3.7 Plus: 56.1; Estimated · #45/67
Basis: BenchAlign v5.8 lane · 3 vs 15 public rows
Reading: Directional only

Knowledge

Directional only

Claude Sonnet 5: 61.8; Supported · #43/180
Qwen3.7 Plus: 53.4; Estimated · #74/180
Basis: BenchAlign v5.8 lane · 6 vs 7 public rows
Reading: Directional only

Multilingual

Not comparable

Claude Sonnet 5: Not ranked
Qwen3.7 Plus: 95.7; #3/17
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Claude Sonnet 5: Not ranked
Qwen3.7 Plus: 92.8; #18/157
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Claude Sonnet 5: 64.9; Unranked · 2 rankable rows
Qwen3.7 Plus: 60.1; Unranked · 4 rankable rows
Basis: Provisional lane · 2 vs 2 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Claude Sonnet 5 and Qwen3.7 Plus
Category	Claude Sonnet 5	Qwen3.7 Plus	Basis	Reading
Agentic	62.5Supported · #22/135	34.8Supported · #84/135	Like-for-likeBenchAlign v5.8 lane · 10 vs 11 public rows	Claude Sonnet 5 leads
Coding	51.7Supported · #40/162	40.2Estimated · #71/162	Directional onlyBenchAlign v5.8 lane · 11 vs 7 public rows	Directional only
Reasoning	59.8Estimated · #32/160	46.3Estimated · #62/160	Directional onlyBenchAlign v5.8 lane · 0 vs 2 public rows	Directional only
Multimodal	60.4Supported · #34/67	56.1Estimated · #45/67	Directional onlyBenchAlign v5.8 lane · 3 vs 15 public rows	Directional only
Knowledge	61.8Supported · #43/180	53.4Estimated · #74/180	Directional onlyBenchAlign v5.8 lane · 6 vs 7 public rows	Directional only
Multilingual	Not ranked	95.7#3/17	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Instruction following	Not ranked	92.8#18/157	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	64.9Unranked · 2 rankable rows	60.1Unranked · 4 rankable rows	Not comparableProvisional lane · 2 vs 2 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, reasoning, multimodal, 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.

Supported evidence per lane · 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 Sonnet 5: $0.007; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.7 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Sonnet 5: $0.13; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.7 Plus has no comparable published API token rate.

Cache-heavy agent loop

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

Claude Sonnet 5: $0.18; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.7 Plus has no comparable published API token 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.

SpecificationClaude Sonnet 5Qwen3.7 Plus

Context window

Maximum documented context; output-token limits may be lower.

Claude Sonnet 5

Anthropic model overview

Qwen3.7 Plus

API model ID

Claude Sonnet 5

claude-sonnet-5

Anthropic model overview

Qwen3.7 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 Sonnet 5

$0.2 per 1M cached input tokens

Claude API pricing

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

Claude Sonnet 5

text, image

Anthropic model overview

Qwen3.7 Plus

text, image, video

Qwen Cloud model page for qwen3.7-plus

Documented outputs

Claude Sonnet 5

text

Anthropic model overview

Qwen3.7 Plus

text

Qwen Cloud model page for qwen3.7-plus

Provider availability

Claude Sonnet 5

Generally Available · Claude API

Anthropic model overview

Qwen3.7 Plus

Not sourced

Reasoning profile

Claude Sonnet 5

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

Claude Sonnet 5

Proprietary

Qwen3.7 Plus

Proprietary

License

Claude Sonnet 5

Proprietary

Qwen3.7 Plus

Proprietary

Release date

Claude Sonnet 5

2026-06-30

Qwen3.7 Plus

2026-06-03

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 Sonnet 5 has the higher public point estimate, 63.83 versus 53.68. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Both models list 1M.

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Sonnet 5 or Qwen3.7 Plus?

Claude Sonnet 5 has the higher public point estimate, 63.83 versus 53.68. 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 Sonnet 5 or Qwen3.7 Plus?

Claude Sonnet 5 scores higher for coding on the public lane, 51.7 to 40.2. Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Claude Sonnet 5 or Qwen3.7 Plus?

Claude Sonnet 5 has the higher public agentic tasks point estimate, 62.5 to 34.8, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

Which costs less, Claude Sonnet 5 or Qwen3.7 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 Sonnet 5 or Qwen3.7 Plus?

Both models list the same context window, 1M.

Benchmark evidence

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

Browse raw public benchmark evidence77 rows

Agentic

Terminal-Bench 4.1
Claude Sonnet 512.10%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 3.0
Claude Sonnet 514.6%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.1
Claude Sonnet 580.4%
Source
Qwen3.7 Plus—
Not directly comparable
BrowseComp
Claude Sonnet 584.7%
Source
Qwen3.7 Plus—
Not directly comparable
HLE w/ tools
Claude Sonnet 557.4%
Source
Qwen3.7 Plus—
Not directly comparable
OSWorld-Verified
Claude Sonnet 581.2%
Source
Qwen3.7 Plus73.3%
Source
Claude Sonnet 5 leads this result
Terminal-Bench 2.1 (Vals)
Claude Sonnet 574.5%
Source
Qwen3.7 Plus52.8%
Source
Claude Sonnet 5 leads this result
ApprenticeBench
Claude Sonnet 516%
Source
Qwen3.7 Plus—
Not directly comparable
MazeBench
Claude Sonnet 50%
Source
Qwen3.7 Plus—
Not directly comparable
OSWorld 2.1
Claude Sonnet 557.0%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.0
Claude Sonnet 5—
Qwen3.7 Plus70.3%
Source
Not directly comparable
QwenClawBench
Claude Sonnet 5—
Qwen3.7 Plus61.8%
Source
Not directly comparable
Claw-Eval
Claude Sonnet 5—
Qwen3.7 Plus62.7%
Source
Not directly comparable
BFCL v4
Claude Sonnet 5—
Qwen3.7 Plus72.9%
Source
Not directly comparable
MCP Atlas
Claude Sonnet 5—
Qwen3.7 Plus73.2%
Source
Not directly comparable
VITA-Bench
Claude Sonnet 5—
Qwen3.7 Plus45.6%
Source
Not directly comparable
DeepPlanning
Claude Sonnet 5—
Qwen3.7 Plus62.3%
Source
Not directly comparable
AndroidWorld
Claude Sonnet 5—
Qwen3.7 Plus81.0%
Source
Not directly comparable
OSWorld 2.0
Claude Sonnet 5—
Qwen3.7 Plus2.8%
Source
Not directly comparable

Coding

SWE-bench Verified
Claude Sonnet 585.2%
Source
Qwen3.7 Plus77.7%
Source
Claude Sonnet 5 leads this result
SWE-bench Pro
Claude Sonnet 563.2%
Source
Qwen3.7 Plus57.6%
Source
Claude Sonnet 5 leads this result
SWE Multilingual
Claude Sonnet 578.3%
Source
Qwen3.7 Plus75.8%
Source
Claude Sonnet 5 leads this result
SWE Multimodal
Claude Sonnet 528.1%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.1
Claude Sonnet 580.4%
Source
Qwen3.7 Plus—
Not directly comparable
FrontierCode 1.1 Main
Claude Sonnet 542.7%
Source
Qwen3.7 Plus—
Not directly comparable
CursorBench 3.2
Claude Sonnet 561.5%
Source
Qwen3.7 Plus—
Not directly comparable
VulcanBench CII v1
Claude Sonnet 589.2%
Source
Qwen3.7 Plus—
Not directly comparable
LiveCodeBench (Vals)
Claude Sonnet 582.4%
Source
Qwen3.7 Plus—
Not directly comparable
SWE-bench (Vals)
Claude Sonnet 579.6%
Source
Qwen3.7 Plus—
Not directly comparable
CursorBench 4.0
Claude Sonnet 534.1%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.0
Claude Sonnet 5—
Qwen3.7 Plus70.3%
Source
Not directly comparable
NL2Repo
Claude Sonnet 5—
Qwen3.7 Plus41.1%
Source
Not directly comparable
SciCode
Claude Sonnet 5—
Qwen3.7 Plus51.3%
Source
Not directly comparable
LiveCodeBench v6
Claude Sonnet 5—
Qwen3.7 Plus89.6%
Source
Not directly comparable

Reasoning

CritPt
Claude Sonnet 5—
Qwen3.7 Plus9.1%
Source
Not directly comparable
MRCRv2
Claude Sonnet 5—
Qwen3.7 Plus91.7%
Source
Not directly comparable

Multimodal

ParseBench
Claude Sonnet 561.16%
Source
Qwen3.7 Plus—
Not directly comparable
CharXiv
Claude Sonnet 588.3%
Source
Qwen3.7 Plus85.9%
Source
Claude Sonnet 5 leads this result
CharXiv w/o tools
Claude Sonnet 577%
Source
Qwen3.7 Plus—
Not directly comparable
MMMU-Pro
Claude Sonnet 5—
Qwen3.7 Plus79%
Source
Not directly comparable
MathVision
Claude Sonnet 5—
Qwen3.7 Plus90.3%
Source
Not directly comparable
ERQA
Claude Sonnet 5—
Qwen3.7 Plus69.8%
Source
Not directly comparable
MedXpertQA (MM)
Claude Sonnet 5—
Qwen3.7 Plus71.0%
Source
Not directly comparable
ScreenSpot Pro
Claude Sonnet 5—
Qwen3.7 Plus79.0%
Source
Not directly comparable
SimpleVQA
Claude Sonnet 5—
Qwen3.7 Plus81.7%
Source
Not directly comparable
MMSearch-Plus
Claude Sonnet 5—
Qwen3.7 Plus41.4%
Source
Not directly comparable
RealWorldQA
Claude Sonnet 5—
Qwen3.7 Plus86.9%
Source
Not directly comparable
OmniDocBench 1.5
Claude Sonnet 5—
Qwen3.7 Plus91.4%
Source
Not directly comparable
OCRBench V2
Claude Sonnet 5—
Qwen3.7 Plus70.7%
Source
Not directly comparable
ODINW13
Claude Sonnet 5—
Qwen3.7 Plus51.1%
Source
Not directly comparable
Video-MME (with subtitle)
Claude Sonnet 5—
Qwen3.7 Plus88.0%
Source
Not directly comparable
VideoMMMU
Claude Sonnet 5—
Qwen3.7 Plus85.4%
Source
Not directly comparable
MLVU (M-Avg)
Claude Sonnet 5—
Qwen3.7 Plus87.4%
Source
Not directly comparable

Knowledge

HLE
Claude Sonnet 557.4%
Source
Qwen3.7 Plus34.7%
Source
Claude Sonnet 5 leads this result
HLE w/o tools
Claude Sonnet 543.2%
Source
Qwen3.7 Plus—
Not directly comparable
HLE-Verified
Claude Sonnet 531.0%
Source
Qwen3.7 Plus—
Not directly comparable
LABBench2
Claude Sonnet 580.1%
Source
Qwen3.7 Plus—
Not directly comparable
GPQA Diamond (Vals)
Claude Sonnet 588.9%
Source
Qwen3.7 Plus—
Not directly comparable
MMLU-Pro (Vals)
Claude Sonnet 587.5%
Source
Qwen3.7 Plus—
Not directly comparable
GPQA
Claude Sonnet 5—
Qwen3.7 Plus90.3%
Source
Not directly comparable
GPQA-D
Claude Sonnet 5—
Qwen3.7 Plus90.3%
Source
Not directly comparable
MMLU-Pro
Claude Sonnet 5—
Qwen3.7 Plus88.5%
Source
Not directly comparable
MMLU-Redux
Claude Sonnet 5—
Qwen3.7 Plus94.5%
Source
Not directly comparable
SuperGPQA
Claude Sonnet 5—
Qwen3.7 Plus71.4%
Source
Not directly comparable
MMMLU
Claude Sonnet 5—
Qwen3.7 Plus89.0%
Source
Not directly comparable

Multilingual

MMLU-ProX
Claude Sonnet 5—
Qwen3.7 Plus85.4%
Source
Not directly comparable
NOVA-63
Claude Sonnet 5—
Qwen3.7 Plus58.8%
Source
Not directly comparable
INCLUDE
Claude Sonnet 5—
Qwen3.7 Plus83.0%
Source
Not directly comparable
MAXIFE
Claude Sonnet 5—
Qwen3.7 Plus88.8%
Source
Not directly comparable
PolyMath
Claude Sonnet 5—
Qwen3.7 Plus84.0%
Source
Not directly comparable

Instruction following

IFEval
Claude Sonnet 5—
Qwen3.7 Plus94.6%
Source
Not directly comparable
IFBench
Claude Sonnet 5—
Qwen3.7 Plus79.1%
Source
Not directly comparable

Math

FrontierMath v2 (Tiers 1-3)
Shared source
Claude Sonnet 565.614%
Qwen3.7 Plus34.386%
Claude Sonnet 5 leads this result
FrontierMath v2 (Tier 4)
Claude Sonnet 529.268%
Source
Qwen3.7 Plus—
Not directly comparable
HMMT Feb 2026
Claude Sonnet 5—
Qwen3.7 Plus92.9%
Source
Not directly comparable
IMOAnswerBench
Claude Sonnet 5—
Qwen3.7 Plus86.0%
Source
Not directly comparable
Apex
Claude Sonnet 5—
Qwen3.7 Plus22.7%
Source
Not directly comparable

77 public results · 8 shared

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Last updated November 13, 2026

Claude Sonnet 5 vs Qwen3.7 Plus

Decision reading

Which one for your work

Agentic work

Coding work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

Or describe your own job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Claude Sonnet 5 or Qwen3.7 Plus?

Which is better for coding, Claude Sonnet 5 or Qwen3.7 Plus?

Which is better for agentic tasks, Claude Sonnet 5 or Qwen3.7 Plus?

Which costs less, Claude Sonnet 5 or Qwen3.7 Plus?

Which has the larger context window, Claude Sonnet 5 or Qwen3.7 Plus?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Claude Sonnet 5 vs Qwen3.7 Plus