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jinwei cheng
jinwei cheng

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ChatGPT VS Grok VS Gemini VS Claude VS Perplexity

Model

Model Positioning Main Versions Core Strengths (2026) Common Use Cases Why This Version Leads
ChatGPT All-around productivity engine GPT-5.2 / GPT-5.2 Pro General reasoning, multimodal, agent tools, customizable workflows Daily tasks, coding, marketing copy, voice interaction, automation Largest user base; broadest general-purpose coverage
Grok Real-time social & trend radar Grok 4.1 Real-time X data, fast reactions, witty tone, strong trend awareness Social posts, trend tracking, pop culture, opinionated content Native social integration; strong real-time sentiment awareness
Gemini Google ecosystem collaborator Gemini 3 Pro Large context window, multimodal capability, deep Google integration, strong math & science performance Workspace planning, research, multimodal generation Seamless Google workflows; strong enterprise & education fit
Claude Long-form reasoning expert Claude Opus 4.5 / Sonnet 4.5 Deep reasoning, long-document handling, precise writing, strong coding analysis Long reports, contracts, complex coding, strategy writing Consistent performance on long and complex material
Perplexity AI research with citations Perplexity Pro Live web data, automatic citations, transparent sources Research, fact-checking, academic queries Strong citation workflow; ideal for verification-focused tasks

ChatGPT vs Perplexity vs Gemini vs Grok 2025

ChatGPT vs Gemini vs Copilot vs Claude vs Perplexity vs Grok: Which AI Assistant is Right for You?

Major Frontier Models – Token Pricing Overview (Feb 19, 2026)

Scope: Developer API pricing
Unit: USD per 1M tokens (MTok)
Note: Consumer subscriptions (ChatGPT Plus, Claude Pro, etc.) are typically bundled and not purely token-metered.

📊 Pricing & Capability Summary

Model Input ($/MTok) Output ($/MTok) Context Window Special Rules / Notes Cost-Efficiency for Complex Tasks
Claude Opus 4.6 $5 (≤200K)
$10 (>200K, 1M beta)
$25 (≤200K)
$37.50 (>200K)
200K standard
1M beta
Prompt caching:
Write $6.25/$12.50
Read $0.50/$1.00
US-only reasoning ×1.1
Highest output cost
Best-in-class reasoning
Expensive output
Ideal for high-quality, low-frequency planning
Gemini 3 Deep Think / Pro $2 (≤200K)
$4 (>200K)
$12 (≤200K)
$18 (>200K)
1M+ (main variants) Multimodal priced similar/slightly higher
Context caching ~$0.2–$0.4
Deep Think included (no extra token fee, slower responses)
Best price-performance for research & engineering
Strong complex reasoning without surcharge
GPT-5.2 $1.75 $14 400K Cached input $0.175 (very cheap)
Pro-tier higher ($21/$168)
Voice/memory billed as text tokens
Most balanced overall
Very efficient with caching
Strong for agents & daily workflows
Grok 4.2 (4.x series) $0.20–$3
Fast: $0.20
Flagship: $3
$0.50–$15
Fast: $0.50
Flagship: $15
Fast: up to 2M
Flagship: 256K–2M
Fast variant extremely cheap
Often includes $25–$175 credits
Reasoning mode slightly higher
Lowest cost structure overall
Great for high-throughput & large-context pipelines

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