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Head-to-Head Model Comparison

Gemini Omni Flash vs Grok Imagine Video 1.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Gemini Omni Flash vs Grok Imagine Video 1.5: Benchmarks, Pricing & Speed Comparison

Gemini Omni Flash by Google and Grok Imagine Video 1.5 by xAI represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Gemini Omni Flash holds a notable pricing advantage for token ingestion. On output generation, Gemini Omni Flash is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Gemini Omni Flash provides an expanded memory horizon with 1,049K tokens. In latency-sensitive production environments, Gemini Omni Flash leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.

1:1 모델 맞대결 비교 (VS)

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Google

Gemini Omni Flash

심층 추론 모델

Google의 Gemini Omni Flash 모델은 1.0M 토큰 컨텍스트 윈도우와 입력 $2/1M 토큰, 출력 $15/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index86 / 100
Input Token:

$2.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

xAI

Grok Imagine Video 1.5

플래그십 프론티어 모델

xAI의 Grok Imagine Video 1.5 모델은 1K 토큰 컨텍스트 윈도우와 입력 $5/1M 토큰, 출력 $20/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index55 / 100
Input Token:

$5.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1K tokens

SWE-bench Verified:

N/A

한눈에 보는 핵심 차이점

  • Gemini Omni Flash is 1.7x cheaper for API usage (input + output tokens combined).
  • Gemini Omni Flash has a larger context window (1M vs 1K tokens).
  • Gemini Omni Flash is faster at 75 tok/s vs 24 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGemini Omni FlashGrok Imagine Video 1.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
8655
Provider
GooglexAI
Input Price
Cost per million input tokens
$2.00 / 1M$5.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.25 / 1M$4.75 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,573 A4 pages of text1K tokens~2 A4 pages of text
Max Output Tokens
Per single request
33K1K
Throughput Speed
Tokens generated per second
75 tok/s24 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.50 / 1M$2.50 / 1M

부문별 우위 모델

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Gemini Omni Flash
1.7x cheaper monthly runtime
Speed
Gemini Omni Flash
+213% faster generation
Context
Gemini Omni Flash
1.05M tokens window

검증된 벤치마크 점수 비교

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

Gemini Omni FlashGrok Imagine Video 1.5
LMSYS Chatbot Arena Elo

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

1440ptsvs1250pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs24 tok/s

지연 시간(Latency) 및 응답 속도

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 Omni Flash0.80s
Grok Imagine Video 1.54.50s
Est. End-to-End Response (500 tokens)TTFT + generation time
Gemini Omni Flash7.47s
Grok Imagine Video 1.525.33s

실시간 API 토큰 비용 시뮬레이터

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 Omni Flash Monthly API Bill
$17.25 / month
$2/1M in · $15/1M out
Grok Imagine Video 1.5 Monthly API Bill
$29.25 / month
$5/1M in · $20/1M out
Gemini Omni Flash saves approximately $12.00 / month (41%) under this workload.1.7x Savings

Gemini Omni Flash · Strengths & Key Advantages

  • Google의 첨단 Unified real-time text-to-video and conversational streaming engine 아키텍처와 최대 1.0M 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $2/1M, 출력 $15/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Grok Imagine Video 1.5 · Strengths & Key Advantages

  • xAI의 첨단 Diffusion-Transformer Hybrid (DiT) 아키텍처와 최대 1K 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $5/1M, 출력 $20/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Token Use & Task Economics

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

MetricGemini Omni FlashGrok Imagine Video 1.5
Cost per Task
Estimated USD to finish one task
$1.50$0.15
Output Tokens / Task
Tokens generated per task
15K1K
Reasoning Tokens / Task
Thinking tokens burned per task
4K0K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

FeatureGemini Omni FlashGrok Imagine Video 1.5
Official API Model ID (SDK)models/gemini-omni-flashgrok-imagine-video-1-5-latest
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKxAI REST API (OpenAI-Compatible)
Release Date2026-062026-05
Knowledge CutoffFebruary 2026March 2026
ArchitectureUnified real-time text-to-video and conversational streaming engineDiffusion-Transformer Hybrid (DiT)
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 ($5/1M in) across full 1K window
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0.5/1M with configurable TTLCached input at $2.5/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Text-only completion (No GUI action loop)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaPrompt-based JSON extraction only
Web Search Grounding & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxReal-time Web & X (Twitter) Search Grounding + Code Execution
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)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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 VerifiedxAI 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, visiontext, vision
Output Modalitiesvideovideo

Gemini Omni Flash vs Grok Imagine Video 1.5: 핵심 요약 문답 (FAQ)

Which is more intelligent, Gemini Omni Flash or Grok Imagine Video 1.5?

Gemini Omni Flash is more intelligent. It scores 86 compared with 55 on the composite Intelligence Index.

Which model is faster?

Gemini Omni Flash is faster, generating 75 tokens per second compared with 24 tokens per second.

Which model is cheaper to run?

Gemini Omni Flash is cheaper at $2.25 per 1M tokens blended, compared with $4.75 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini Omni Flash has lower latency, with a time to first token of 0.80s compared with 4.50s.

Which model has a larger context window?

Gemini Omni Flash has a larger context window, supporting 1.05M tokens compared with 1K tokens.

종합 평가

Verdict & Model Selection Recommendation: Choose Gemini Omni Flash if your priority is Interactive gaming, real-time avatar response, and educational visual explanations. Its performance in demanding tasks justifies its operational token cost. Choose Grok Imagine Video 1.5 if your workflow prioritizes Creative media production, dynamic social video clips, advertising storyboards, and conceptual video mockups. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.

자주 묻는 질문 (FAQ)

How does Gemini Omni Flash compare to Grok Imagine Video 1.5 in API token pricing and cost per token?+

Gemini Omni Flash costs $2.00 per 1M input tokens and $15.00 per 1M output tokens, whereas Grok Imagine Video 1.5 costs $5.00 input and $20.00 output. Overall, Gemini Omni Flash is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.

Which model has a larger context window: Gemini Omni Flash or Grok Imagine Video 1.5?+

Gemini Omni Flash supports a context window of 1,049K tokens (~786k words), while Grok Imagine Video 1.5 supports 1K tokens (~1k words). Therefore, Gemini Omni Flash can process more textual data and document context in a single prompt.

Which AI model is better for software engineering and coding: Gemini Omni Flash or Grok Imagine Video 1.5?+

Gemini Omni Flash scores at the frontier of coding benchmarks, while Grok Imagine Video 1.5 scores competitively for software generation. For complex autonomous debugging and agentic engineering, Gemini Omni Flash provides robust code generation and tool calling.

What is the difference in reasoning capability and extended thinking between Gemini Omni Flash and Grok Imagine Video 1.5?+

Gemini Omni Flash features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Grok Imagine Video 1.5 focuses on standard fast inference.

How does inference speed (tokens per second) compare between Gemini Omni Flash and Grok Imagine Video 1.5?+

Gemini Omni Flash generates approximately 75 tokens per second, while Grok Imagine Video 1.5 delivers 24 tokens per second. In latency-sensitive production environments, Gemini Omni Flash provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Can you implement a tiered LLM routing setup combining Gemini Omni Flash and Grok Imagine Video 1.5 to optimize costs?+

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Gemini Omni Flash to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Grok Imagine Video 1.5. This tiered routing pattern cuts overall API bills by up to 70%.

AI Terminology & Guide
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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)

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