Qwen3.7-Plus Benchmark Details

Qwen3.7-Plus currently shows benchmark results led by GPQA Diamond (128 / 270, score 81.82), FrontierMath v2 (39 / 58, score 34.39). This page also compares it with 3 competitor models and 1 predecessor or same-series models, including performance and pricing views when available.

Benchmark Results

Qwen3.7-Plus

Benchmark Results

Other

1 evaluations

Benchmark / mode

Score

Rank/total

GPQA Diamond

Standard Mode

81.82

128 / 270

Math and Reasoning

1 evaluations

Benchmark / mode

Score

Rank/total

FrontierMath v2

Standard Mode

34.39

39 / 58

Compare with other models

Competitor Comparison

Benchmark scores for Qwen3.7-Plus compared against top models in its class

Qwen3.7-PlusGLM-5.2 Kimi K2.6 DeepSeek-V4-Flash

Benchmark categories:

The chart shows each model’s highest score per benchmark within the current filter. Out-of-100 benchmarks use raw heights; out-of-range benchmarks are scaled within that benchmark while labels keep the original scores.

2 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.

Benchmark	Qwen3.7-PlusCurrent	GLM-5.2	Kimi K2.6	DeepSeek-V4-Flash
GPQA Diamond 科学与综合推理	81.82Standard Mode	91.86Thinking Level · High	90.50Thinking Enabled	88.10Thinking Level · High
FrontierMath v2 数学推理	34.39Standard Mode	59.21Thinking Level · High	--	--

Standard API Pricing: Qwen3.7-Plus vs. Peer Models

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier.

These models use different currencies or billing units, so the page falls back to raw price values instead of a shared bar chart.

Qwen3.7-Plus

Supplier: 阿里巴巴

Standard input: ¥2 / 1M tokens

Standard output: ¥8 / 1M tokens

Base price applies to <= 256000

GLM-5.2

Supplier: 智谱AI

Standard input: $1.4 / 1M tokens

Standard output: $4.4 / 1M tokens

Kimi K2.6

Supplier: Facebook AI研究实验室

Standard input: $0.95 / 1M tokens

Standard output: $4 / 1M tokens

DeepSeek-V4-Flash

Supplier: DeepSeek-AI

Standard input: $0.14 / 1M tokens

Standard output: $0.28 / 1M tokens

Model	Supplier	Standard input	Standard output	Base price applies to
Qwen3.7-Plus	阿里巴巴	¥2 / 1M tokens	¥8 / 1M tokens	<= 256000
GLM-5.2	智谱AI	$1.4 / 1M tokens	$4.4 / 1M tokens	—
Kimi K2.6	Facebook AI研究实验室	$0.95 / 1M tokens	$4 / 1M tokens	—
DeepSeek-V4-Flash	DeepSeek-AI	$0.14 / 1M tokens	$0.28 / 1M tokens	—

Version History

How each version of the Qwen3.7-Plus series stacks up on benchmark tests

Qwen3.7-PlusQwen3.5 Plus (0215)

No benchmark data matches the selected filters.

Standard API Pricing Across the Qwen3.7-Plus Series

Shows standard text input and output pricing side by side for each model. If extended-context pricing exists, the chart keeps the base rate and explains the threshold below.

Source: DataLearnerAI. Standard text prices shown here use the default supplier. · CNY / 1M tokens

When a context threshold exists, the charted base price only applies within these limits:

Qwen3.7-Plus: Base price applies to <= 256000

Model	Supplier	Standard input	Standard output	Base price applies to
Qwen3.7-Plus	阿里巴巴	¥2 / 1M tokens	¥8 / 1M tokens	<= 256000