What does the Qwen3.7 Max API benchmark and pricing page include?

The Qwen3.7 Max page compares API pricing, provider data, free tier status, speed, first-token latency, and benchmark context when available across 100 providers.

What is the Qwen3.7 Max API price?

Qwen3.7 Max API price starts at $0.0030/request via Crond. Prices range up to $1095.00/M across 100 providers.

What does the Qwen3.7 Max API pricing table include?

The Qwen3.7 Max API pricing table compares 100 providers by input price, output price, free tier status, speed, first-token latency, and recent health data when available.

What free API options are available for Qwen3.7 Max?

Yes, Qwen3.7 Max free API options are available through 1 providers including Zero API.

Where can I get Qwen3.7 Max free API access?

LMSpeed lists 1 free API providers for Qwen3.7 Max: Zero API. Check each provider row before using it because free tier limits can change.

Qwen

·Released on 2026年5月21日

Qwen3.7 Max API 基准测试价格和服务商数据

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Qwen3.7 Max 页面汇总基准测试、API 价格和服务商数据，覆盖 100 家服务商，价格从 $0.0030/request 起。Qwen3.7 Max 免费 API 额度来自 1 家服务商。页面同时展示实测速度和首字延迟。

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivi...

质量

#8of 100

76.0

LMSpeed 评分

速度

111char/s

22.62 s

成本

#150of 180

$0.0030/ 1M · 8:1 in:out

$0.0005 in · $0.0025 out

分类性能

基于独立 benchmark family 的实测能力估计，不确定性单独展示。

覆盖: 7 / 8
方法论: V3.0

#1数学62.2估算2/4 实测维度

80% 区间: 50.0–74.4

foundational math仅先验

competition math68

hmmt · hmmt_feb2026

proof frontier56.3

imo · imo_answer_bench

applied tool math仅先验

#2综合推理59.6正式评分全站排名 #53/4 实测维度

80% 区间: 51.0–68.3

abstract logic仅先验

scientific causal62

critpt · critpt / gpqa · gpqa / hle · hle

multistep constraints61.8

mmlu_pro · mmlu_pro

evidence verification55.1

lcr · lcr

#3多语言58.1估算2/4 实测维度

80% 区间: 46.5–69.8

cross language understanding52.9

include · include / nova · nova63

multilingual generation仅先验

reasoning transfer63.4

mmlu_prox · mmlu_pro_x

low resource robustness仅先验

#4代码57正式评分全站排名 #114/4 实测维度

80% 区间: 51.0–63.0

code generation61.8

livecodebench · livecodebench / scicode · scicode

repository engineering56.2

nl2repo · nl2_repo / swe_pro · swe_pro

debugging testing59.1

swe_multilingual · benchlm_coding_swe_multilingual / swe_verified · swe_verified

tooling quality50.8

terminalbench · benchlm_coding_terminal_bench2

#5智能体56.9正式评分全站排名 #184/4 实测维度

80% 区间: 51.0–62.7

planning57.9

deep_planning · gert_labs

tool use57.6

mcp_atlas · mcp_atlas / tau · tau2_bench

environment execution55.1

gdpval_aa · benchlm_agentic_gdpval_aa / terminalbench · benchlm_agentic_terminal_bench2 / vita_bench · vita_bench

recovery reliability56.9

claw_eval · claw_eval / researchclaw · research_claw_bench

#6指令遵循56.8估算2/4 实测维度

80% 区间: 44.9–68.7

constraint following57

ifeval · ifeval

structured output仅先验

novel instruction generalization56.6

ifbench · aa_if_bench

long multiturn instruction仅先验

#7知识55.8估算2/4 实测维度

80% 区间: 43.6–68.0

broad knowledge57

mmlu_redux · mmlu_redux

professional knowledge54.6

supergpqa · super_gpqa

factuality仅先验

retrieval open book仅先验

暂无数据:多模态

技术规格

Input and output token limits for this model, plus how it ranks on long-context understanding.

INPUT

1Mtokens

≈ 1.2K pages of text

OUTPUT

131.1Ktokens

8K128K1M4M

能力

Technical Details

输入
输出
发布日期: May 2026
官方文档
Tokenizer: Qwen
架构: text->text
内容审核: 否
支持参数: frequency_penaltyinclude_reasoninglogprobsmax_tokenspresence_penaltyreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p

排名

擅长

表现尚可

相对落后

详细分数

更新时间: 2026年8月31日

综合

1 个指标

Overall score76.0#8 / 100

基准

站内排名

分数

来源

更新时间

置信度

Overall score

站内排名#8

分数76.0

服务商	健康度	模型变体	分组	输入 ($/M)	输出 ($/M)	速度 (t/s)	首字延迟	检测
Tokeness.io	L1 99%	qwen3.7-max	default	-40%$1.50/M Cache read$0.300/M	-40%$4.50/M	77.5 t/s	14.81 s	—
YUNWU API	L1 100%	qwen3.7-max	default	-67%$0.822/M	-67%$2.47/M	—	—	—
PackyAPI	L1 100%	qwen3.7-max	bailian	-66%$0.857/M Cache read$0.171/M	-66%$2.57/M	—	—	—
V-API	L1 100%	qwen3.7-max	default	$6.00/M	$18.00/M	—	—	—
TokenFlux	L1 100%	qwen3.7-max	default	-73%$0.685/M Cache read$0.068/M	-73%$2.05/M	—	—	—
APIMart	L1 100%	qwen3.7-max	default	-47%$1.32/M	-47%$3.95/M	—	—	—
SoraApi	L1 100%	qwen3.7-max	default	-20%$2.00/M	-73%$2.00/M	—	—	—
全球AI	L1 100%	qwen3.7-max	default	$12.00/M Cache read$1.20/M	$36.00/M	—	—	—
GLM BigModel Relay	L1 99%	qwen/qwen3.7-max	other	-58%$1.04/M Cache read$0.208/M	-58%$3.12/M	—	—	—
OpenRouter Fans	L1 100%	qwen/qwen3.7-max	default	-50%$1.25/M	-50%$3.75/M	—	—	—
Aiberm	L1 100%	qwen3.7-max	default	-14%$2.16/M	-14%$6.48/M	—	—	—
Last API	L1 100%	qwen3.7-max	ALIYUN	$41.25/M	$41.25/M	—	—	—
Cuz AI	L1 100% L2 62%	qwen3.7-max	default	$75.00/M	$75.00/M	—	—	—
PoloAPI	L1 99%	qwen3.7-max	qwen-new	-41%$1.48/M Cache read$0.148/MCache write$1.85/MCache write 1h$2.96/M	-41%$4.44/M	—	—	—
PoloAPI	L1 99%	qwen3.7-max-2026-05-20	qwen-new	-41%$1.48/M	-41%$4.44/M	—	—	—
VSLLM	L1 100%	qwen3.7-max	default	$1095.00/M	$1095.00/M	—	—
Zero API	L1 100%	qwen3.7-max	default	-93%$0.171/M Cache read$0.034/M	-93%$0.514/M	—	—	—
SmokeDivine AI	L1 99%	qwen3.7-max	default	-47%$1.32/M	-47%$3.95/M	—	—	—
Yun API	L1 99%	qwen3.7-max	default	-34%$1.64/M	-34%$4.93/M	—	—	—
钱多多 API	L1 99%	qwen3.7-max	default	$5.87/M Cache read$0.587/MCache write$7.34/MCache write 1h$11.75/M	$17.62/M	—	—	—

分类性能

技术规格

能力

Technical Details

排名

擅长

表现尚可

相对落后

详细分数

综合

价格

智能体

代码

综合推理

知识

数学

多语言

多模态

指令遵循

OpenRouter 端点

价格对比

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