Head-to-Head Model Comparison

Gemini 3 Flash vs MiniMax-M2.5-highspeed

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Gemini 3 Flash vs MiniMax-M2.5-highspeed: Benchmarks, Pricing & Speed Comparison

Gemini 3 Flash von Google und MiniMax-M2.5-highspeed von MiniMax gehören zu den führenden KI-Modellen. Gemini 3 Flash bietet ein Kontextfenster von 1.05M Tokens bei API-Preisen von $0.50/$3.00 pro 1M Tokens, während MiniMax-M2.5-highspeed 204K Tokens Kontext zu $0.15/$0.60 pro 1M Tokens bereitstellt. Hier finden Sie den vollständigen Benchmark-, Latenz- und Kostenvergleich.

Direktvergleich (VS)

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Google

Gemini 3 Flash

Ultraschnelle Echtzeit-Inferenz

Gemini 3 Flash von Google ist ein KI-Modell für ultraschnelle Echtzeit-Antworten, niedrige Latenz und Hochdurchsatz-Routing mit 1.0M Kontextfenster, 180 Token/s Durchsatz, einem Intelligenz-Index von 75/100 und $0.5/$3 pro 1M Token.

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

Autonomes Agenten-Modell

MiniMax-M2.5-highspeed von MiniMax ist ein KI-Modell für autonome Agenten-Workflows, zuverlässiges Tool-Calling und mehrstufige Automatisierung mit 204K Kontextfenster, 150 Token/s Durchsatz, einem Intelligenz-Index von 78/100 und $0.15/$0.

Intelligence Index78 / 100
Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

204K tokens

SWE-bench Verified:

N/A

Wichtigste Unterschiede auf einen Blick

  • 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 →
FeatureGemini 3 FlashMiniMax-M2.5-highspeed
Intelligence Index
Composite reasoning & knowledge score (0-100)
7578
Provider
GoogleMiniMax
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 text204K tokens~306 A4 pages of text
Max Output Tokens
Per single request
66K8K
Throughput Speed
Tokens generated per second
180 tok/s150 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

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
MiniMax-M2.5-highspeed
4.6x cheaper monthly runtime
Speed
Gemini 3 Flash
+20% faster generation
Context
Gemini 3 Flash
1.05M tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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)
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

  • 1.0M Kontextfenster und bis zu 66K maximale Output-Token (SWE-bench Verified 66.5% · GPQA Diamond 79%)
  • Hohe Generierungsgeschwindigkeit von 180 Token/Sekunde bei nur 400 ms Erstlatenz (TTFT)
  • Effiziente API-Struktur ($0.5/$3 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe
Considerations & Trade-offs
  • Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

  • 204K Kontextfenster und bis zu 8K maximale Output-Token (MMLU-Pro 74% · Arena Elo 1295)
  • Hohe Generierungsgeschwindigkeit von 150 Token/Sekunde bei nur 270 ms Erstlatenz (TTFT)
  • Effiziente API-Struktur ($0.15/$0.6 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe
Considerations & Trade-offs
  • Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

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

MetricGemini 3 FlashMiniMax-M2.5-highspeed
Cost per Task
Estimated USD to finish one task
$0.95$0.04
Output Tokens / Task
Tokens generated per task
35K12K
Reasoning Tokens / Task
Thinking tokens burned per task
16K0K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

FeatureGemini 3 FlashMiniMax-M2.5-highspeed
Official API Model ID (SDK)models/gemini-3-flashminimax-m2-5-highspeed
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKMiniMax REST API (OpenAI-Compatible)
Release Date2025-122026-02
Knowledge CutoffSeptember 2025December 2025
ArchitectureNext-gen sparse multimodal mixture-of-expertsLatency-Optimized Hosted Cloud Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM5,000 – 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 tokensFlat rate ($0.15/1M in) across full 204K window
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0.125/1M with configurable TTLCached input at $0.015/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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 & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportVertex AI Supervised Adapter Tuning & Context DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText 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 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 ClassificationGoogle DeepMind Frontier Safety Framework 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 Modalitiestext, vision, audio, videotext
Output Modalitiestexttext

Gemini 3 Flash vs MiniMax-M2.5-highspeed: Schnelle Antworten (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.

Fazit

Sowohl Gemini 3 Flash (Optimal für ultraschnelle Echtzeit-Antworten, niedrige Latenz und Hochdurchsatz-Routing, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch MiniMax-M2.5-highspeed (Optimal für autonome Agenten-Workflows, zuverlässiges Tool-Calling und mehrstufige Automatisierung, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: MiniMax-M2.5-highspeed führt bei komplexem Reasoning und Coding, Gemini 3 Flash liefert den höheren Token-Durchsatz und MiniMax-M2.5-highspeed ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Gemini 3 Flash oder MiniMax-M2.5-highspeed?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt MiniMax-M2.5-highspeed vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Gemini 3 Flash und MiniMax-M2.5-highspeed?+

Gemini 3 Flash kostet $0.50 / $3.00 pro 1M Input-/Output-Tokens, MiniMax-M2.5-highspeed liegt bei $0.15 / $0.60. Beim gewichteten Gesamtpreis ist MiniMax-M2.5-highspeed günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Gemini 3 Flash bietet 1.05M Tokens Kontext gegenüber 204K Tokens bei MiniMax-M2.5-highspeed. Bei der Generierungsgeschwindigkeit liegt Gemini 3 Flash vorn.

AI Terminology & Guide
Explore Glossary →

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

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.

Offizielle Quellen: Offizielle API-Dokumentation von Google und MiniMax, Systemkarten und unabhängige Benchmark-Auswertungen (2026).