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Head-to-Head Model Comparison

Grok 4.20 (Reasoning) vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Grok 4.20 (Reasoning) vs Gemini 4 Argon: Benchmarks, Pricing & Speed Comparison

Grok 4.20 (Reasoning) dari xAI dan Gemini 4 Argon dari Google adalah dua model AI unggulan. Grok 4.20 (Reasoning) menawarkan jendela konteks 1M token dengan harga $3.00/$15.00 per 1 juta token, sedangkan Gemini 4 Argon menyediakan konteks 1M token seharga $2.00/$10.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Grok 4.20 (Reasoning)

Mesin Penalaran Mendalam

Grok 4.20 (Reasoning) dari xAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 1M, kecepatan 95 token/detik, indeks kecerdasan 68/100, serta tarif $

Intelligence Index68 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.2%

Google

Gemini 4 Argon

AI Multimodal Asli

Gemini 4 Argon dari Google adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 1M, kecepatan 115 token/detik, indeks kecerdasan 97/100, serta tarif $2/

Intelligence Index97 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Perbedaan Utama Sekilas

  • Gemini 4 Argon is 1.6x cheaper for API usage (input + output tokens combined).
  • Gemini 4 Argon is faster at 115 tok/s vs 95 tok/s.
  • Gemini 4 Argon leads on SWE-bench coding (81.9% vs 68.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok 4.20 (Reasoning)Gemini 4 Argon
Intelligence Index
Composite reasoning & knowledge score (0-100)
6897
Provider
xAIGoogle
Input Price
Cost per million input tokens
$3.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.63 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
66K1000K
Throughput Speed
Tokens generated per second
95 tok/s115 tok/s
SWE-bench Verified
Real-world software engineering
68.2%81.9%
GPQA Diamond
Graduate-level reasoning
72.8%81.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$0.10 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
Gemini 4 Argon
+13.7% SWE-bench lead
Cost
Gemini 4 Argon
1.6x cheaper monthly runtime
Speed
Gemini 4 Argon
+21% faster generation
Context
Tied
1M tokens window

Skor Benchmark Terverifikasi

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

Grok 4.20 (Reasoning)Gemini 4 Argon
SWE-bench Verified (Autonomous Coding)

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

68.2%vs81.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

72.8%vs81.5%
MMLU-Pro (Multi-task Language Understanding)

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

84.1%vs90.8%
LMSYS Chatbot Arena Elo

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

1395ptsvs1525pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

11.8%vs18.9%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

44.5%vs57.4%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

41.2%vs56.4%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

66.5%vs80.5%
AIME (Advanced Math Competition)

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

86.4%vs94.8%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

89.2%vs96.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs115 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
Grok 4.20 (Reasoning)0.98s
Gemini 4 Argon0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok 4.20 (Reasoning)6.24s
Gemini 4 Argon5.20s

Simulator Biaya Token Interaktif

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)
Grok 4.20 (Reasoning) Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Gemini 4 Argon Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Gemini 4 Argon saves approximately $6.97 / month (36%) under this workload.1.6x Savings

Grok 4.20 (Reasoning) · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 68.2% · GPQA Diamond 72.8%)
  • Kecepatan generasi tinggi 95 token/detik dengan latensi token pertama (TTFT) hanya 980 ms
  • Skema harga API kompetitif (tarif $3/$15 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
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Gemini 4 Argon · Strengths & Key Advantages

  • Jendela konteks 1M dengan kapasitas output maksimum hingga 1M token (SWE-bench Verified 81.9% · GPQA Diamond 81.5%)
  • Kecepatan generasi tinggi 115 token/detik dengan latensi token pertama (TTFT) hanya 850 ms
  • Skema harga API kompetitif (tarif $2/$10 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
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

MetricGrok 4.20 (Reasoning)Gemini 4 Argon
Cost per Task
Estimated USD to finish one task
$1.45$2.45
Output Tokens / Task
Tokens generated per task
45K75K
Reasoning Tokens / Task
Thinking tokens burned per task
28K36K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGrok 4.20 (Reasoning)Gemini 4 Argon
Official API Model ID (SDK)grok-4-20-reasoning-latestmodels/gemini-4-argon
API ProtocolxAI REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-032026-09
Knowledge CutoffNovember 2025June 2026
ArchitectureColossus-Scale Reasoning Sparse MoEPathways Multimodal Sparse Mixture-of-Experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($3/1M in) across full 1000K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.75/1M tokensImplicit + Explicit Context Caching at $0.1/1M with configurable TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationVertex AI Supervised Adapter Tuning & Context 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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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 ClassificationxAI Production Safety & Alignment VerifiedGoogle DeepMind Frontier Safety Framework 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, audio, video
Output Modalitiestexttext

Grok 4.20 (Reasoning) vs Gemini 4 Argon: Jawaban Cepat (FAQ)

Which is more intelligent, Grok 4.20 (Reasoning) or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 68 on the composite Intelligence Index.

Which model is faster?

Gemini 4 Argon is faster, generating 115 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Gemini 4 Argon is cheaper at $1.47 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 4 Argon has lower latency, with a time to first token of 0.85s compared with 0.98s.

Kesimpulan

Baik Grok 4.20 (Reasoning) (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 4 Argon (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 4 Argon unggul dalam penalaran dan pemrograman, Gemini 4 Argon memberikan kecepatan generasi token lebih tinggi, dan Gemini 4 Argon lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Grok 4.20 (Reasoning) atau Gemini 4 Argon?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 4 Argon memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Grok 4.20 (Reasoning) vs Gemini 4 Argon?+

Grok 4.20 (Reasoning) mengenakan biaya $3.00 / $15.00 per 1M token input/output, sedangkan Gemini 4 Argon sebesar $2.00 / $10.00. Secara keseluruhan, Gemini 4 Argon lebih hemat biaya.

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

Grok 4.20 (Reasoning) mendukung konteks 1M token dibandingkan 1M token pada Gemini 4 Argon, sementara Gemini 4 Argon 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 & 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.

Sumber resmi: Dokumentasi API resmi xAI & Google serta evaluasi benchmark independen (2026).