Side-by-side pricing, features and compliance for anything in the directory.
Side-by-side comparison of ChatGPT, Claude, Gemini: pricing, capabilities, integrations and compliance — from verified HokAI records.
OpenAI
Pick it if: Content creators and marketers who need text, image, and video generation in a single workflow
Its edge: One subscription spans chat, Codex, ChatGPT Work and always-on dots agents, per the lineup OpenAI announced at DevDay on 29 September 2026.
The catch: Plans run from Free and Go through Plus, Pro in three usage tiers, Business and Enterprise, and OpenAI publishes most limits as Limited, Expanded or Maximum rather than as numbers, so sizing a plan for a workload takes trial and error; Go may also show ads.
Anthropic
Pick it if: Senior software engineers building complex AI applications who need the best-in-class coding benchmark performance
Its edge: 1 million token context window: enough to hold an entire large codebase or hundreds of research papers in a single unbroken session.
The catch: Claude does not generate photos or illustrations, only HTML and SVG diagrams and charts, so image work needs a second tool; and every plan meters use in rolling five-hour windows, with weekly caps on paid plans, so a heavy day can stall mid-session.
Pick it if: Enterprise architects using Google Workspace
Its edge: Industry-leading 1M+ token context window enabling processing of entire codebases, documents, and hours of video; Personal Intelligence with Google Photos access (April 2026); native multimodal understanding across text-image-audio-video without tool-switching
The catch: Gemini 4 Argon, Google's flagship, has no free API tier, and its API price doubles on 1 December 2026, from $2 to $4 per million input tokens and from $10 to $20 per million output tokens, so budgets set at launch pricing will run short.
| Entry price | Free to start | Free to start | Free to start |
|---|---|---|---|
| Free tier | true | true | true |
| Paid tiers | Free — $0/mo; Go — $8/mo; Plus — $20/mo | Free — $0/mo; Pro — $20/mo; Max 5x — $100/mo | Free (Gemini app and Google AI Studio) — $0/mo; Google AI Plus — $4.99/mo; Google AI Pro (Personal) — $19.99/mo |
| Hidden costs | Plus plan's 10 Deep Research runs/month is easily exhausted by a researcher doing daily competitive analysis, pushing actual power-use cost to $100-$200/month Pro; API usage is billed separately from ChatGPT plans; GPT-6 Astra costs $10 inp | Max plan (5x or 20x) capacity is daily, not monthly — heavy daily users can still hit limits within a single work session; API Opus pricing at $5/$25 per million tokens adds up quickly for long-context (1M token) use cases: a single full-co | Multimodal surcharges for image/audio/video processing (2-7x text rates for audio input depending on model); Context length pricing multiplier (2x rates beyond 200K tokens for Pro models); Google Search grounding charges ($14-35 per 1K quer |
| Budget fit | free | mid | mid |
| Killer feature | One subscription spans chat, Codex, ChatGPT Work and always-on dots agents, per the lineup OpenAI announced at DevDay on 29 September 2026. | 1 million token context window: enough to hold an entire large codebase or hundreds of research papers in a single unbroken session. | Industry-leading 1M+ token context window enabling processing of entire codebases, documents, and hours of video; Personal Intelligence with Google Photos access (April 2026); native multimodal understanding across text-image-audio-video wi |
|---|---|---|---|
| Primary weakness | Plans run from Free and Go through Plus, Pro in three usage tiers, Business and Enterprise, and OpenAI publishes most limits as Limited, Expanded or Maximum rather than as numbers, so sizing a plan for a workload takes trial and error; Go m | Claude does not generate photos or illustrations, only HTML and SVG diagrams and charts, so image work needs a second tool; and every plan meters use in rolling five-hour windows, with weekly caps on paid plans, so a heavy day can stall mid | Gemini 4 Argon, Google's flagship, has no free API tier, and its API price doubles on 1 December 2026, from $2 to $4 per million input tokens and from $10 to $20 per million output tokens, so budgets set at launch pricing will run short. |
| Best for | Content creators and marketers who need text, image, and video generation in a single workflow; Enterprise software teams who need the broadest third-party connector ecosystem and Microsoft alignment | Senior software engineers building complex AI applications who need the best-in-class coding benchmark performance; Legal and compliance analysts handling million-token document review in regulated industries with HIPAA or SOC 2 requirement | Enterprise architects using Google Workspace; Data scientists and ML engineers; Content creators and media teams |
| Worst for | Healthcare engineers who need HIPAA BAA without enterprise-level commitment (requires ChatGPT for Healthcare plan); Developers who need the cheapest per-token pricing for large batch jobs, since the API is billed separately from any ChatGPT | Content creators who need image, video, or audio generation alongside text; Casual users who only need basic Q&A and find the Pro plan's $20/month hard to justify over the free tier | Privacy-sensitive organizations (healthcare, legal) without Workspace Enterprise; Real-time customer service teams (latency variability); Non-English teams (English-optimized safety guidelines) |
| Minimum skill level | none | basic | beginner |
| Defensibility | 10 1.2B weekly users (OpenAI, DevDay recap, 29 September 2026), Microsoft distribution, 60+ native connectors, and the broadest multimodal capability suite (text, image, video, voice, computer use) in a single interface give it the widest reach of any assistant HokAI tracks. | 8 Constitutional AI methodology, 1M-token context, and deep enterprise compliance (SOC 2 + HIPAA + ISO 27001) create genuine differentiation, but OpenAI's distribution advantage (ChatGPT reported 1.2B weekly users in September 2026) and Microsoft's enterprise sales motion are the primary competitive threats. | 9 Google's massive data advantage (trained on public internet + internal Google data), deep Workspace ecosystem integration requiring significant switching costs, industry-leading benchmark performance, patent portfolio on reasoning architectures, and integrated Search/Maps grounding capabilities create durable competitive advantages. High switching costs for Workspace-dependent organizations and early mover advantage in 1M+ context window models maintain strong market position. |
| Target audience | General professionals and knowledge workers who want a single AI tool for writing, research, and analysis, Developers and engineers building AI applications using the GPT API and function calling, Creative professionals who need image and v | Software engineers who need a large-context coding agent for complex, multi-file refactors, Legal, research, and financial analysts working with long-form documents up to 1 million tokens, Enterprise teams in regulated industries needing HI | People who already work in Gmail, Docs and Drive and want Gemini inside those apps with bundled storage, Developers building on the Gemini API, from free-tier Flash experiments to paid Gemini 4 Argon workloads, Researchers and analysts who |
| HokAI rating | 4.5 Scored 2026-05-30 | 4.3 Scored 2026-09-07 | 4.5 Scored 2026-06-17 |
| Key features | GPT-6 Model Family; Dots (Always-On Agents); ChatGPT Work (Autonomous Agentic Mode) | Four model tiers; Claude Code included from Pro; Claude Science | Long-Context Reasoning; Native Multimodal Understanding; Deep Reasoning and Thinking Levels |
|---|---|---|---|
| Capabilities | Vision; Voice; Function calling | Function calling; Long context; Vision | Vision; Voice; Long context |
| Strengths | One subscription covers chat, Codex, ChatGPT Work, image generation and voice, so a buyer does not need separate tools for each job.; OpenAI halved API prices for Sol and Luna in September, and prices its newest Sol release at a fifth of As | The Free plan covers everyday writing and analysis without a card, using Sonnet and Haiku.; Claude Code comes bundled from the entry paid plan, so one subscription covers both chat and an autonomous coding agent.; Team and Enterprise add ad | Massive 1M+ token context window processing entire documents and codebases in single requests; True native multimodality with unified text-image-audio-video understanding without tool-switching; Superior Google Workspace integration across |
| Watch out for | Heavy use of Deep Research, Codex or ChatGPT Work on Plus can hit allowance limits, which pushes power users toward a Pro tier.; Trustpilot showed 1.6 out of 5 from more than 2,800 reviews at the July 2026 check, driven by billing, support | No native image, audio or video generation: Claude accepts images as input but returns text and code, so generated media needs a separate tool.; Usage limits are not a fixed message count: a rolling five-hour window plus weekly caps on paid | Higher per-token pricing for Pro-tier models compared to budget-tier competitors and open-weight alternatives; Tight safety guardrails sometimes causing overly conservative outputs or refusals on non-controversial content; Context understan |
| Underlying model | GPT-5.6 Luna (unlimited text chats under abuse guardrails) | Sonnet 5.5 and Haiku 5.5; no Opus or Fable | -- |
| Context window | -- | -- | 1 |
| MCP support | true | true | -- |
| Multimodal | text; vision; voice | text; vision; voice | -- |
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