Head-to-Head Model Comparison

Gemini 3 Flash vs MiniMax-M2.5-highspeed

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

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

Gemini 3 FlashProfile

MiniMax-M2.5-highspeedProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 3 Flash

Inferencia Ultrarrápida

Gemini 3 Flash de Google es un modelo de IA diseñado para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, con ventana de contexto de 1.0M, velocidad de 180 tokens/s, índice de inteligencia de 75/100 y tarifa de $0.

Intelligence Index75 / 100

Input Token:

$0.50 / 1M

Output Token:

$3.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

66.5%

MiniMax

MiniMax-M2.5-highspeed

IA Agéntica y Uso de Herramientas

MiniMax-M2.5-highspeed de MiniMax es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 204K, velocidad de 150 tokens/s, índice de inteligencia d

Intelligence Index78 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

204K tokens

SWE-bench Verified:

N/A

Diferencias Clave de un Vistazo

MiniMax-M2.5-highspeed is 4.6x cheaper for API usage (input + output tokens combined).
Gemini 3 Flash has a larger context window (1M vs 204K tokens).
Gemini 3 Flash is faster at 180 tok/s vs 150 tok/s.

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

Característica	Gemini 3 Flash	MiniMax-M2.5-highspeed
Intelligence Index Composite reasoning & knowledge score (0-100)	75	78
Provider	Google	MiniMax
Input Price Cost per million input tokens	$0.50 / 1M	$0.15 / 1M
Output Price Cost per million output tokens	$3.00 / 1M	$0.60 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.49 / 1M	$0.10 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	204K tokens~306 A4 pages of text
Max Output Tokens Per single request	66K	8K
Throughput Speed Tokens generated per second	180 tok/s	150 tok/s
SWE-bench Verified Real-world software engineering	66.5%	N/A
GPQA Diamond Graduate-level reasoning	79%	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.13 / 1M	$0.01 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

MiniMax-M2.5-highspeed

4.6x cheaper monthly runtime

Velocidad

Gemini 3 Flash

+20% faster generation

Contexto

Gemini 3 Flash

1.05M tokens window

Puntuaciones de Benchmarks Verificadas

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

Gemini 3 FlashMiniMax-M2.5-highspeed

SWE-bench Verified (Autonomous Coding)

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

66.5%vsN/A

GPQA Diamond (Doctorate-Level Science & Math)

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

79%vsN/A

MMLU-Pro (Multi-task Language Understanding)

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

85.8%vs74%

LMSYS Chatbot Arena Elo

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

1425ptsvs1295pts

AIME (Advanced Math Competition)

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

88%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

180 tok/s vs150 tok/s

Latencia y Tiempo de Respuesta

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

Gemini 3 Flash0.40s

MiniMax-M2.5-highspeed0.27s

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

Gemini 3 Flash3.18s

MiniMax-M2.5-highspeed3.60s

Simulador Interactivo de Costos de Tokens

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)

Gemini 3 Flash Monthly API Bill

$3.64 / month

$0.5/1M in · $3/1M 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 $2.85 / month (78%) under this workload.4.6x Savings

Gemini 3 Flash · Strengths & Key Advantages

Ventana de contexto de 1.0M con hasta 66K tokens de salida máxima (SWE-bench Verified 66.5% · GPQA Diamond 79%)
Rendimiento ágil de 180 tokens/segundo con latencia inicial (TTFT) de solo 400 ms
Economía de API competitiva ($0.5/$3 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

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

Ventana de contexto de 204K con hasta 8K tokens de salida máxima (MMLU-Pro 74% · Arena Elo 1295)
Rendimiento ágil de 150 tokens/segundo con latencia inicial (TTFT) de solo 270 ms
Economía de API competitiva ($0.15/$0.6 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

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

Metric	Gemini 3 Flash	MiniMax-M2.5-highspeed
Cost per Task Estimated USD to finish one task	$0.95	$0.04
Output Tokens / Task Tokens generated per task	35K	12K
Reasoning Tokens / Task Thinking tokens burned per task	16K	0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Gemini 3 Flash	MiniMax-M2.5-highspeed
Official API Model ID (SDK)	models/gemini-3-flash	minimax-m2-5-highspeed
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	MiniMax REST API (OpenAI-Compatible)
Release Date	2025-12	2026-02
Knowledge Cutoff	September 2025	December 2025
Architecture	Next-gen sparse multimodal mixture-of-experts	Latency-Optimized Hosted Cloud Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($0.15/1M in) across full 204K window
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.125/1M with configurable TTL	Cached input at $0.015/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	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	Google DeepMind Frontier Safety Framework 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, vision, audio, video	text
Output Modalities	text	text

Gemini 3 Flash vs MiniMax-M2.5-highspeed: Respuestas Rápidas (FAQ)

Which is more intelligent, Gemini 3 Flash or MiniMax-M2.5-highspeed?

MiniMax-M2.5-highspeed is more intelligent. It scores 78 compared with 75 on the composite Intelligence Index.

Which model is faster?

Gemini 3 Flash is faster, generating 180 tokens per second compared with 150 tokens per second.

Which model is cheaper to run?

MiniMax-M2.5-highspeed is cheaper at $0.10 per 1M tokens blended, compared with $0.49 (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 0.40s.

Which model has a larger context window?

Gemini 3 Flash has a larger context window, supporting 1.05M tokens compared with 204K tokens.

Veredicto

Tanto Gemini 3 Flash (Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.) como MiniMax-M2.5-highspeed (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) destacan en producción: MiniMax-M2.5-highspeed lidera en inteligencia general y programación, Gemini 3 Flash ofrece mayor velocidad de generación de tokens y MiniMax-M2.5-highspeed resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Gemini 3 Flash o MiniMax-M2.5-highspeed?+

En las pruebas de inteligencia compuesta y resolución de código, MiniMax-M2.5-highspeed obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Gemini 3 Flash frente a MiniMax-M2.5-highspeed?+

Gemini 3 Flash cuesta $0.50 / $3.00 por millón de tokens de entrada/salida, mientras que MiniMax-M2.5-highspeed cuesta $0.15 / $0.60. En costo combinado, MiniMax-M2.5-highspeed es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Gemini 3 Flash cuenta con 1.05M tokens de contexto frente a 204K tokens de MiniMax-M2.5-highspeed. En velocidad de inferencia, Gemini 3 Flash ofrece un rendimiento superior.

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)

Gemini 3 Flash vs MiniMax-M2.5-highspeed

Cambia y Compara Cualquier Modelo

Gemini 3 Flash

MiniMax-M2.5-highspeed

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Gemini 3 Flash · Strengths & Key Advantages

Considerations & Trade-offs

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

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Gemini 3 Flash vs MiniMax-M2.5-highspeed: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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