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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
MiniMax-M2.7-highspeed vs MiniMax-M2.5-highspeed: Benchmarks, Pricing & Speed Comparison

MiniMax-M2.7-highspeed di MiniMax e MiniMax-M2.5-highspeed di MiniMax sono due modelli di IA di riferimento. MiniMax-M2.7-highspeed offre una finestra di contesto di 204K token a $0.25/$1.00 per milione di token, mentre MiniMax-M2.5-highspeed mette a disposizione 204K token di contesto a $0.15/$0.60 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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MiniMax

MiniMax-M2.7-highspeed

Inferenza Ultra-Rapida

MiniMax-M2.7-highspeed di MiniMax è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 204K, velocità di 140 token/s, indice di intelligenza di 82/100

Intelligence Index82 / 100
Input Token:

$0.25 / 1M

Output Token:

$1.00 / 1M

Context Window:

204K tokens

SWE-bench Verified:

N/A

MiniMax

MiniMax-M2.5-highspeed

IA Agentica e Strumenti Autonomi

MiniMax-M2.5-highspeed di MiniMax è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 204K, velocità di 150 token/s, indice di intelligenza di 78/100 e tari

Intelligence Index78 / 100
Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

204K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • MiniMax-M2.5-highspeed is 1.7x cheaper for API usage (input + output tokens combined).
  • MiniMax-M2.5-highspeed is faster at 150 tok/s vs 140 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureMiniMax-M2.7-highspeedMiniMax-M2.5-highspeed
Intelligence Index
Composite reasoning & knowledge score (0-100)
8278
Provider
MiniMaxMiniMax
Input Price
Cost per million input tokens
$0.25 / 1M$0.15 / 1M
Output Price
Cost per million output tokens
$1.00 / 1M$0.60 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.17 / 1M$0.10 / 1M
Context Window
Maximum input + output tokens
204K tokens~306 A4 pages of text204K tokens~306 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
140 tok/s150 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
63%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.03 / 1M$0.01 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
MiniMax-M2.5-highspeed
1.7x cheaper monthly runtime
Speed
MiniMax-M2.5-highspeed
+7% faster generation
Context
Tied
204K tokens window

Punteggi Benchmark Verificati

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

MiniMax-M2.7-highspeedMiniMax-M2.5-highspeed
GPQA Diamond (Doctorate-Level Science & Math)

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

63%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

78%vs74%
LMSYS Chatbot Arena Elo

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

1335ptsvs1295pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

140 tok/s vs150 tok/s

Latenza e Tempo di Risposta

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
MiniMax-M2.7-highspeed0.29s
MiniMax-M2.5-highspeed0.27s
Est. End-to-End Response (500 tokens)TTFT + generation time
MiniMax-M2.7-highspeed3.86s
MiniMax-M2.5-highspeed3.60s

Simulatore Interattivo dei Costi Token

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)
MiniMax-M2.7-highspeed Monthly API Bill
$1.31 / month
$0.25/1M in · $1/1M out
MiniMax-M2.5-highspeed Monthly API Bill
$0.79 / month
$0.15/1M in · $0.6/1M out
MiniMax-M2.5-highspeed saves approximately $0.53 / month (40%) under this workload.1.7x Savings

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

  • Finestra di contesto da 204K con capacità massima di output fino a 8K token (GPQA Diamond 63% · MMLU-Pro 78%)
  • Throughput elevato di 140 token/secondo con latenza al primo token (TTFT) di soli 290 ms
  • Economia API competitiva ($0.25/$1 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

MiniMax-M2.5-highspeed · Strengths & Key Advantages

  • Finestra di contesto da 204K con capacità massima di output fino a 8K token (MMLU-Pro 74% · Arena Elo 1295)
  • Throughput elevato di 150 token/secondo con latenza al primo token (TTFT) di soli 270 ms
  • Economia API competitiva ($0.15/$0.6 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

MetricMiniMax-M2.7-highspeedMiniMax-M2.5-highspeed
Cost per Task
Estimated USD to finish one task
$0.06$0.04
Output Tokens / Task
Tokens generated per task
15K12K
Reasoning Tokens / Task
Thinking tokens burned per task
2K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureMiniMax-M2.7-highspeedMiniMax-M2.5-highspeed
Official API Model ID (SDK)minimax-m2-7-highspeedminimax-m2-5-highspeed
API ProtocolMiniMax REST API (OpenAI-Compatible)MiniMax REST API (OpenAI-Compatible)
Release Date2026-032026-02
Knowledge CutoffJanuary 2026December 2025
ArchitectureHigh-Throughput Hosted Cloud AcceleratorLatency-Optimized Hosted Cloud Transformer
ParametersConfidentialConfidential
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 ($0.25/1M in) across full 204K windowFlat rate ($0.15/1M in) across full 204K window
Prompt Cache Policy & TTLCached input at $0.025/1M tokensCached input at $0.015/1M 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)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 ClassificationMiniMax Production Safety & Alignment VerifiedMiniMax 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 Modalitiestexttext
Output Modalitiestexttext

MiniMax-M2.7-highspeed vs MiniMax-M2.5-highspeed: Risposte Rapide (FAQ)

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

MiniMax-M2.7-highspeed is more intelligent. It scores 82 compared with 78 on the composite Intelligence Index.

Which model is faster?

MiniMax-M2.5-highspeed is faster, generating 150 tokens per second compared with 140 tokens per second.

Which model is cheaper to run?

MiniMax-M2.5-highspeed is cheaper at $0.10 per 1M tokens blended, compared with $0.17 (7:2:1 cache:input:output ratio).

Which model has lower latency?

MiniMax-M2.5-highspeed has lower latency, with a time to first token of 0.27s compared with 0.29s.

Verdetto

Sia MiniMax-M2.7-highspeed (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) sia MiniMax-M2.5-highspeed (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: MiniMax-M2.7-highspeed guida nei benchmark di ragionamento e programmazione, MiniMax-M2.5-highspeed garantisce una generazione più rapida e MiniMax-M2.5-highspeed offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, MiniMax-M2.7-highspeed o MiniMax-M2.5-highspeed?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale MiniMax-M2.7-highspeed. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra MiniMax-M2.7-highspeed e MiniMax-M2.5-highspeed?+

MiniMax-M2.7-highspeed costa $0.25 / $1.00 per milione di token di input/output, mentre MiniMax-M2.5-highspeed costa $0.15 / $0.60. Nel costo combinato, MiniMax-M2.5-highspeed risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

MiniMax-M2.7-highspeed supporta 204K token di contesto contro 204K token di MiniMax-M2.5-highspeed, mentre MiniMax-M2.5-highspeed offre una velocità di generazione superiore.

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.

Fonti ufficiali: Documentazione API ufficiale di MiniMax e MiniMax, schede di sistema e benchmark indipendenti (2026).