VENICE ATLAS · MODEL DOSSIER · QWEN 3.7 PLUS

Model overview

Qwen 3.7 Plus

Name: Qwen 3.7 Plus
Brand: venice.ai
Price: 0.5000 USD
Availability: InStock

Qwen 3.7 Plus is Alibaba's latest flagship reasoning model with exceptional performance across coding, reasoning, and general knowledge tasks. Features mixed reasoning, function calling, and multimodal input support.

qwen-3-7-plus · venice.ai

Text · Venice catalog$0.50 per 1M tokensPrice on Venice AI

ModalityTextOn Venice AI

Primary price$0.50 per 1M tokensper 1M tokens

Context window1MMax tokens

Benchmarks70Benchmark results

Benchmark results

See the tests behind each score. They use the benchmark’s original scoring scale.

Agents10 results

AndroidWorldandroidworld · agents

81.0%

ReportedOct 2026

ClawEval-MMclaw-eval-mm · agents

55.7%

ReportedOct 2026

CoWorkBenchcoworkbench · agents

65.1%

ReportedOct 2026

DeepPlanningdeep-planning · agents

62.3%

ReportedOct 2026

Finance Agent v2finance-agent-v2 · agents

38.2%

ReportedOct 2026

MCP-Markmcp-mark · agents

58.7%

ReportedOct 2026

QwenClawBenchqwenclawbench · agents

61.8%

ReportedOct 2026

QwenWorldBenchqwenworldbench · agents

62.1%

ReportedOct 2026

SpreadSheetBench-v1spreadsheetbench-v1 · agents

86.3%

ReportedOct 2026

VITA-Benchvita-bench · agents

45.6%

ReportedOct 2026

Chat1 result

IFEvalifeval · chat

94.6%

ReportedOct 2026

Coding3 results

Claw-Evalclaw-eval · code

62.7%

ReportedOct 2026

NL2Reponl2repo · code

41.1%

ReportedOct 2026

SkillsBenchskillsbench · code

54.9%

ReportedOct 2026

General intelligence3 results

Includeinclude · general

83.0%

ReportedOct 2026

MAXIFEmaxife · general

88.8%

ReportedOct 2026

NOVA-63nova-63 · general

58.8%

ReportedOct 2026

Instruction Following1 result

IFBenchifbench · instruction_following

79.1%

ReportedOct 2026

Language5 results

MMLU-Prommlu-pro · language

88.5%

ReportedOct 2026

MMLU-ProXmmlu-prox · language

85.4%

ReportedOct 2026

MMLU-Reduxmmlu-redux · language

94.5%

ReportedOct 2026

MMMLUmmmlu · language

89.0%

ReportedOct 2026

WMT24++wmt24++ · language

84.6%

ReportedOct 2026

Long Context1 result

MRCR v2mrcr-v2 · long_context

91.7%

ReportedOct 2026

Math4 results

HMMT Feb 26hmmt-feb-26 · math

92.9%

ReportedOct 2026

IMO-AnswerBenchimo-answerbench · math

86.0%

ReportedOct 2026

MathVisionmathvision · math

90.3%

ReportedOct 2026

PolyMATHpolymath · math

84.0%

ReportedOct 2026

Multimodal2 results

MMSearch-Plusmmsearch-plus · multimodal

41.4%

ReportedOct 2026

OSWorld-Verifiedosworld-verified · multimodal

73.3%

ReportedOct 2026

Learn what each benchmark measures ↗

Pricing detail

Input price per 1M tokens: $0.50
Output price per 1M tokens: $2.00
Cache read price per 1M tokens: $0.0500
Cache write price per 1M tokens: $0.63
Blended price per 1M tokens (50/50): $1.25

Prices are published by Venice AI. Venice model page ↗

Capabilities

ReasoningFunction callingVisionVideo inputWeb search

Endpoint metadata

Privacy: anonymized
Quantization: not-available
Maximum completion tokens: 66K
Uncensored: No
Beta: No
Mapping confidence: 100.0%

View model source ↗

All capabilities

Max Images: 10
Quantization: not-available
Supports E2 E E: No
Supports Vision: Yes
Supports X Search: No
Optimized For Code: Yes
Supports Log Probs: No
Supports Reasoning: Yes
Supports Web Search: Yes
Supports Audio Input: No
Supports Video Input: Yes
Supports Multiple Images: Yes
Supports Response Schema: Yes
Supports Tee Attestation: No
Supports Function Calling: Yes
Supports Reasoning Effort: No

Related models

Qwen 3.7 Plus

Benchmark results

More from qwen