Head-to-Head Model Comparison

Qwen3.5 Plus vs Gemini 3.1 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen3.5 PlusProfile

Gemini 3.1 ProProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3.5 Plus

AI Multimodal Asli

Qwen3.5 Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1M, kecepatan 85 token/detik, indeks kecerdasan 87/100, serta tarif $0.6/

Intelligence Index87 / 100

Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

1M tokens

SWE-bench Verified:

64%

Google

Gemini 3.1 Pro

Pemimpin Pemrograman & Kode

Gemini 3.1 Pro dari Google adalah model AI yang dirancang untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, menghadirkan jendela konteks 1.0M, kecepatan 110 token/detik, indeks kecerdasan 86/100, serta t

Intelligence Index86 / 100

Input Token:

$2.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

Perbedaan Utama Sekilas

Qwen3.5 Plus is 4.6x cheaper for API usage (input + output tokens combined).
Gemini 3.1 Pro has a larger context window (1M vs 1M tokens).
Gemini 3.1 Pro is faster at 110 tok/s vs 85 tok/s.
Gemini 3.1 Pro leads on SWE-bench coding (74.5% vs 64.0%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Qwen3.5 Plus	Gemini 3.1 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	87	86
Provider	Alibaba	Google
Input Price Cost per million input tokens	$0.60 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$2.40 / 1M	$12.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.40 / 1M	$1.95 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	1.05M tokens~1,573 A4 pages of text
Max Output Tokens Per single request	16K	66K
Throughput Speed Tokens generated per second	85 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	64%	74.5%
GPQA Diamond Graduate-level reasoning	72%	86.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.06 / 1M	$0.50 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Gemini 3.1 Pro

+10.5% SWE-bench lead

Cost

Qwen3.5 Plus

4.6x cheaper monthly runtime

Speed

Gemini 3.1 Pro

+29% faster generation

Context

Gemini 3.1 Pro

1.05M tokens window

Skor Benchmark Terverifikasi

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

Qwen3.5 PlusGemini 3.1 Pro

SWE-bench Verified (Autonomous Coding)

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

64%vs74.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

72%vs86.5%

MMLU-Pro (Multi-task Language Understanding)

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

85%vs89.2%

LMSYS Chatbot Arena Elo

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

1410ptsvs1475pts

AIME (Advanced Math Competition)

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

N/Avs94%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs110 tok/s

Latensi & Waktu Respons

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

Qwen3.5 Plus0.49s

Gemini 3.1 Pro0.78s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen3.5 Plus6.37s

Gemini 3.1 Pro5.33s

Simulator Biaya Token Interaktif

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Qwen3.5 Plus Monthly API Bill

$3.15 / month

$0.6/1M in · $2.4/1M out

Gemini 3.1 Pro Monthly API Bill

$14.55 / month

$2/1M in · $12/1M out

Qwen3.5 Plus saves approximately $11.40 / month (78%) under this workload.4.6x Savings

Qwen3.5 Plus · Strengths & Key Advantages

Jendela konteks 1M dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 64% · GPQA Diamond 72%)
Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 490 ms
Skema harga API kompetitif (tarif $0.6/$2.4 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Gemini 3.1 Pro · Strengths & Key Advantages

Jendela konteks 1.0M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 74.5% · GPQA Diamond 86.5%)
Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 780 ms
Skema harga API kompetitif (tarif $2/$12 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

Metric	Qwen3.5 Plus	Gemini 3.1 Pro
Cost per Task Estimated USD to finish one task	$0.19	$1.85
Output Tokens / Task Tokens generated per task	24K	52K
Reasoning Tokens / Task Thinking tokens burned per task	8K	26K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen3.5 Plus	Gemini 3.1 Pro
Official API Model ID (SDK)	qwen3-5-plus-instruct	models/gemini-3-1-pro
API Protocol	Alibaba REST API (OpenAI-Compatible)	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-02	2026-02
Knowledge Cutoff	December 2025	November 2025
Architecture	Enterprise Million-Token Multimodal Transformer	Pathways High-Capacity Reasoning Architecture
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.6/1M in) across full 1000K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.06/1M tokens	Implicit + Explicit Context Caching at $0.5/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
Quantization & Min GPU VRAM	Cloud-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 Classification	Alibaba Production Safety & Alignment Verified	Google DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision, audio, video
Output Modalities	text	text

Qwen3.5 Plus vs Gemini 3.1 Pro: Jawaban Cepat (FAQ)

Which is more intelligent, Qwen3.5 Plus or Gemini 3.1 Pro?

Qwen3.5 Plus is more intelligent. It scores 87 compared with 86 on the composite Intelligence Index.

Which model is faster?

Gemini 3.1 Pro is faster, generating 110 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Qwen3.5 Plus is cheaper at $0.40 per 1M tokens blended, compared with $1.95 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3.5 Plus has lower latency, with a time to first token of 0.49s compared with 0.78s.

Which model has a larger context window?

Gemini 3.1 Pro has a larger context window, supporting 1.05M tokens compared with 1M tokens.

Kesimpulan

Baik Qwen3.5 Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 3.1 Pro (Sangat cocok untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Qwen3.5 Plus unggul dalam penalaran dan pemrograman, Gemini 3.1 Pro memberikan kecepatan generasi token lebih tinggi, dan Qwen3.5 Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen3.5 Plus atau Gemini 3.1 Pro?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Qwen3.5 Plus memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Qwen3.5 Plus vs Gemini 3.1 Pro?+

Qwen3.5 Plus mengenakan biaya $0.60 / $2.40 per 1M token input/output, sedangkan Gemini 3.1 Pro sebesar $2.00 / $12.00. Secara keseluruhan, Qwen3.5 Plus lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Qwen3.5 Plus mendukung konteks 1M token dibandingkan 1.05M token pada Gemini 3.1 Pro, sementara Gemini 3.1 Pro unggul dalam kecepatan output token per detik.

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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Qwen3.5 Plus vs Gemini 3.1 Pro

Ganti & Bandingkan Model Apa Saja

Qwen3.5 Plus

Gemini 3.1 Pro

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen3.5 Plus · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 3.1 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen3.5 Plus vs Gemini 3.1 Pro: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading