Head-to-Head Model Comparison

GLM-5-Turbo vs MiniMax-M2.7-highspeed

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.

GLM-5-TurboProfile

MiniMax-M2.7-highspeedProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Zhipu AI

GLM-5-Turbo

Inferensi Super Cepat

GLM-5-Turbo dari Zhipu AI adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 200K, kecepatan 95 token/detik, indeks kecerdasan 86/100, serta tarif

Intelligence Index86 / 100

Input Token:

$0.60 / 1M

Output Token:

$1.80 / 1M

Context Window:

200K tokens

SWE-bench Verified:

55%

MiniMax

MiniMax-M2.7-highspeed

Inferensi Super Cepat

MiniMax-M2.7-highspeed dari MiniMax adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 204K, kecepatan 140 token/detik, indeks kecerdasan 82/100,

Intelligence Index82 / 100

Input Token:

$0.25 / 1M

Output Token:

$1.00 / 1M

Context Window:

204K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

MiniMax-M2.7-highspeed is 2.0x cheaper for API usage (input + output tokens combined).
MiniMax-M2.7-highspeed has a larger context window (204K vs 200K tokens).
MiniMax-M2.7-highspeed is faster at 140 tok/s vs 95 tok/s.

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

Feature	GLM-5-Turbo	MiniMax-M2.7-highspeed
Intelligence Index Composite reasoning & knowledge score (0-100)	86	82
Provider	Zhipu AI	MiniMax
Input Price Cost per million input tokens	$0.60 / 1M	$0.25 / 1M
Output Price Cost per million output tokens	$1.80 / 1M	$1.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.34 / 1M	$0.17 / 1M
Context Window Maximum input + output tokens	200K tokens~300 A4 pages of text	204K tokens~306 A4 pages of text
Max Output Tokens Per single request	16K	8K
Throughput Speed Tokens generated per second	95 tok/s	140 tok/s
SWE-bench Verified Real-world software engineering	55%	N/A
GPQA Diamond Graduate-level reasoning	65%	63%
Cached Input Price Prompt caching discount per 1M tokens	$0.06 / 1M	$0.03 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

MiniMax-M2.7-highspeed

2.0x cheaper monthly runtime

Speed

MiniMax-M2.7-highspeed

+47% faster generation

Context

MiniMax-M2.7-highspeed

204K tokens window

Skor Benchmark Terverifikasi

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

GLM-5-TurboMiniMax-M2.7-highspeed

SWE-bench Verified (Autonomous Coding)

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

55%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

65%vs63%

MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs78%

LMSYS Chatbot Arena Elo

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

1365ptsvs1335pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs140 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

GLM-5-Turbo0.42s

MiniMax-M2.7-highspeed0.29s

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

GLM-5-Turbo5.68s

MiniMax-M2.7-highspeed3.86s

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)

GLM-5-Turbo Monthly API Bill

$2.61 / month

$0.6/1M in · $1.8/1M out

MiniMax-M2.7-highspeed Monthly API Bill

$1.31 / month

$0.25/1M in · $1/1M out

MiniMax-M2.7-highspeed saves approximately $1.30 / month (50%) under this workload.2.0x Savings

GLM-5-Turbo · Strengths & Key Advantages

Jendela konteks 200K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 55% · GPQA Diamond 65%)
Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 420 ms
Skema harga API kompetitif (tarif $0.6/$1.8 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

MiniMax-M2.7-highspeed · Strengths & Key Advantages

Jendela konteks 204K dengan kapasitas output maksimum hingga 8K token (GPQA Diamond 63% · MMLU-Pro 78%)
Kecepatan generasi tinggi 140 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
Skema harga API kompetitif (tarif $0.25/$1 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

Token Use & Task Economics

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

Metric	GLM-5-Turbo	MiniMax-M2.7-highspeed
Cost per Task Estimated USD to finish one task	$0.16	$0.06
Output Tokens / Task Tokens generated per task	22K	15K
Reasoning Tokens / Task Thinking tokens burned per task	7K	2K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	GLM-5-Turbo	MiniMax-M2.7-highspeed
Official API Model ID (SDK)	glm-5-turbo	minimax-m2-7-highspeed
API Protocol	Zhipu AI REST API (OpenAI-Compatible)	MiniMax REST API (OpenAI-Compatible)
Release Date	2026-03	2026-03
Knowledge Cutoff	January 2026	January 2026
Architecture	Hosted Accelerated Frontier Transformer	High-Throughput Hosted Cloud Accelerator
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.6/1M in) across full 200K window	Flat rate ($0.25/1M in) across full 204K window
Prompt Cache Policy & TTL	Cached input at $0.06/1M tokens	Cached input at $0.025/1M tokens
Computer Use / GUI Agent	API / 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 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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
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	Zhipu AI Production Safety & Alignment Verified	MiniMax Production Safety & Alignment 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	text
Output Modalities	text	text

GLM-5-Turbo vs MiniMax-M2.7-highspeed: Jawaban Cepat (FAQ)

Which is more intelligent, GLM-5-Turbo or MiniMax-M2.7-highspeed?

GLM-5-Turbo is more intelligent. It scores 86 compared with 82 on the composite Intelligence Index.

Which model is faster?

MiniMax-M2.7-highspeed is faster, generating 140 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

MiniMax-M2.7-highspeed is cheaper at $0.17 per 1M tokens blended, compared with $0.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

MiniMax-M2.7-highspeed has lower latency, with a time to first token of 0.29s compared with 0.42s.

Which model has a larger context window?

MiniMax-M2.7-highspeed has a larger context window, supporting 204K tokens compared with 200K tokens.

Kesimpulan

Baik GLM-5-Turbo (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun MiniMax-M2.7-highspeed (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GLM-5-Turbo unggul dalam penalaran dan pemrograman, MiniMax-M2.7-highspeed memberikan kecepatan generasi token lebih tinggi, dan MiniMax-M2.7-highspeed lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GLM-5-Turbo atau MiniMax-M2.7-highspeed?+

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

Berapa perbandingan harga API GLM-5-Turbo vs MiniMax-M2.7-highspeed?+

GLM-5-Turbo mengenakan biaya $0.60 / $1.80 per 1M token input/output, sedangkan MiniMax-M2.7-highspeed sebesar $0.25 / $1.00. Secara keseluruhan, MiniMax-M2.7-highspeed lebih hemat biaya.

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

GLM-5-Turbo mendukung konteks 200K token dibandingkan 204K token pada MiniMax-M2.7-highspeed, sementara MiniMax-M2.7-highspeed 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)

GLM-5-Turbo vs MiniMax-M2.7-highspeed

Ganti & Bandingkan Model Apa Saja

GLM-5-Turbo

MiniMax-M2.7-highspeed

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

GLM-5-Turbo · Strengths & Key Advantages

Considerations & Trade-offs

MiniMax-M2.7-highspeed · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

GLM-5-Turbo vs MiniMax-M2.7-highspeed: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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