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Head-to-Head Model Comparison

ERNIE 4.5 vs QwQ Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

由 GetInfoUs 研究团队审核最后审核日期：October 2026编辑政策
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
ERNIE 4.5 vs QwQ Plus: Benchmarks, Pricing & Speed Comparison

Baidu 的 ERNIE 4.5 与 Alibaba 的 QwQ Plus 是当前备受关注的两款主力 AI 模型。ERNIE 4.5 提供 128K Token 上下文窗口，API 定价为每百万 Token 输入 $0.60 / 输出 $2.40；而 QwQ Plus 提供 131.1K Token 上下文窗口，定价为每百万 Token 输入 $0.40 / 输出 $1.60。以下为两者的基准测试、延迟与成本全面对比。

模型直接对比 (VS)

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Baidu

ERNIE 4.5

旗舰前沿大模型

Baidu 推出的 ERNIE 4.5 是一款面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿大模型，具备 128K 上下文窗口、75 Token/秒生成速度与 81/100 综合智能指数（每百万 Token $0.6 输入 / $2.4 输出）。

Intelligence Index81 / 100
Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Alibaba

QwQ Plus

深度逻辑推理引擎

Alibaba 推出的 QwQ Plus 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型，具备 131K 上下文窗口、70 Token/秒生成速度与 84/100 综合智能指数（每百万 Token $0.4 输入 / $1.6 输出）。

Intelligence Index84 / 100
Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45%

核心差异一览

  • QwQ Plus is 1.5x cheaper for API usage (input + output tokens combined).
  • QwQ Plus has a larger context window (131K vs 128K tokens).
  • ERNIE 4.5 is faster at 75 tok/s vs 70 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureERNIE 4.5QwQ Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8184
Provider
BaiduAlibaba
Input Price
Cost per million input tokens
$0.60 / 1M$0.40 / 1M
Output Price
Cost per million output tokens
$2.40 / 1M$1.60 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.40 / 1M$0.27 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
75 tok/s70 tok/s
SWE-bench Verified
Real-world software engineering
N/A45%
GPQA Diamond
Graduate-level reasoning
60%65.2%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.04 / 1M

各项指标谁更胜一筹？

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
QwQ Plus
1.5x cheaper monthly runtime
Speed
ERNIE 4.5
+7% faster generation
Context
QwQ Plus
131.1K tokens window

权威基准测试得分对比

Official evaluation metrics verified by independent third-party research labs.

ERNIE 4.5QwQ Plus
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs45%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

60%vs65.2%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

78.5%vs82%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1325ptsvs1335pts
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs62%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs80%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs70 tok/s

延迟与响应速度

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
ERNIE 4.50.51s
QwQ Plus0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
ERNIE 4.57.18s
QwQ Plus7.99s

实时 Token 成本模拟器

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
ERNIE 4.5 Monthly API Bill
$3.15 / month
$0.6/1M in · $2.4/1M out
QwQ Plus Monthly API Bill
$2.10 / month
$0.4/1M in · $1.6/1M out
QwQ Plus saves approximately $1.05 / month (33%) under this workload.1.5x Savings

ERNIE 4.5 · Strengths & Key Advantages

  • 提供 128K 上下文窗口与最高 8K 输出容量，核心基准表现优异（GPQA Diamond 60% · MMLU-Pro 78.5%）
  • 高达 75 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 510 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.6 输入 / $2.4 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

QwQ Plus · Strengths & Key Advantages

  • 提供 131K 上下文窗口与最高 16K 输出容量，核心基准表现优异（SWE-bench Verified 45% · GPQA Diamond 65.2%）
  • 高达 70 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 850 毫秒
  • 极具竞争力的 API 定价（每百万 Token $0.4 输入 / $1.6 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
  • 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
  • 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricERNIE 4.5QwQ Plus
Cost per Task
Estimated USD to finish one task
$0.16$0.12
Output Tokens / Task
Tokens generated per task
18K24K
Reasoning Tokens / Task
Thinking tokens burned per task
4K14K

技术规格参数

Architecture, release timeline, capabilities, and modalities.

FeatureERNIE 4.5QwQ Plus
Official API Model ID (SDK)ernie-4-5qwq-plus-instruct
API ProtocolBaidu REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-032025-03
Knowledge CutoffDecember 2024January 2025
ArchitectureMultimodal Foundation Knowledge TransformerDeep Reasoning Chain-of-Thought Transformer
ParametersConfidential32B (Distilled Reasoning Engine)
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.6/1M in) across full 128K windowFlat rate ($0.4/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.04/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationBaidu Production Safety & Alignment VerifiedAlibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audiotext
Output Modalitiestexttext

ERNIE 4.5 vs QwQ Plus: 常见问题解答 (FAQ)

Which is more intelligent, ERNIE 4.5 or QwQ Plus?

QwQ Plus is more intelligent. It scores 84 compared with 81 on the composite Intelligence Index.

Which model is faster?

ERNIE 4.5 is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

QwQ Plus is cheaper at $0.27 per 1M tokens blended, compared with $0.40 (7:2:1 cache:input:output ratio).

Which model has lower latency?

ERNIE 4.5 has lower latency, with a time to first token of 0.51s compared with 0.85s.

Which model has a larger context window?

QwQ Plus has a larger context window, supporting 131.1K tokens compared with 128K tokens.

综合结论

综合来看，ERNIE 4.5（适合：面向复杂企业级推理、软件开发与全场景生产工作流的旗舰前沿任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）与 QwQ Plus（适合：专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）各具优势：QwQ Plus 在综合智能与编程基准测试中表现更强，ERNIE 4.5 拥有更快的 Token 生成速度，而 QwQ Plus 则在规模化 API 部署中具备更高的成本效益。

常见问题 (FAQ)

在编程和深度推理方面，ERNIE 4.5 和 QwQ Plus 哪个更强？+

在综合智能指数与编程基准评测中，QwQ Plus 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。

ERNIE 4.5 与 QwQ Plus 的 API 价格哪个更便宜？+

ERNIE 4.5 的 API 价格为输入 $0.60 / 输出 $2.40（每百万 Token），QwQ Plus 为输入 $0.40 / 输出 $1.60。综合混合成本来看，QwQ Plus 更具性价比。

哪款模型拥有更大的上下文窗口和更快的响应速度？+

ERNIE 4.5 支持 128K Token 上下文窗口，而 QwQ Plus 支持 131.1K Token。在流式生成速度方面，ERNIE 4.5 的吞吐表现更快。

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

数据来源: Baidu 与 Alibaba 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。