Side-by-side pricing, features and compliance for any tools in the directory.
Side-by-side comparison of Claude, Gemini: pricing, capabilities, integrations and compliance — from verified HokAI records.
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: the only frontier model that fits an entire large codebase, a 3,000-page document, or hundreds of research papers in a single unbroken session.
The catch: No native generative media output (image, audio, video), and 19M monthly users vs ChatGPT's estimated 300M+ is a major distribution gap that limits developer mindshare.
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: Tight safety guardrails sometimes causing conservative outputs; higher API costs for Pro tiers ($2-$12 per 1M tokens) compared to budget models; inconsistent instruction-following on complex prompts requiring multiple attempts; weaker image generation than specialized alternatives
| Entry price | Free to start | Free to start |
|---|---|---|
| Free tier | true | true |
| Paid tiers | Free — $0/mo; Pro — $20/mo; Max 5x — $100/mo | Free Tier (Google AI Studio) — $0/mo; Google AI Plus — $4.99/mo; Google AI Pro (Personal) — $19.99/mo |
| Hidden costs | 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 | mid | mid |
| Killer feature | 1 million token context window: the only frontier model that fits an entire large codebase, a 3,000-page document, 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 | No native generative media output (image, audio, video), and 19M monthly users vs ChatGPT's estimated 300M+ is a major distribution gap that limits developer mindshare. | Tight safety guardrails sometimes causing conservative outputs; higher API costs for Pro tiers ($2-$12 per 1M tokens) compared to budget models; inconsistent instruction-following on complex prompts requiring multiple attempts; weaker image |
| Best for | 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 | 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 | basic | beginner |
| Defensibility | 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 at 300M+ users vs Claude's 19M MAU) 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 | 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 | Enterprise Teams, Software Developers, Product Managers, Content Creators, Researchers, Data Analysts, Legal Professionals |
| HokAI rating | 4.3 Scored 2026-09-07 | 4.5 Scored 2026-06-17 |
| Key features | Claude Opus 5; Claude Sonnet 5; Claude Science | Massive Context Window; Native Multimodal Understanding; Deep Reasoning and Thinking Levels |
|---|---|---|
| Capabilities | Function calling; Long context; Vision | Vision; Voice; Long context |
| Strengths | The 1-million-token context window on Max plans is large enough to hold an entire codebase, a long legal contract, or hundreds of research papers in one session, a rare capability among frontier chat assistants.; Claude Opus 4.8 leads SWE-b | 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 | No native image, audio, or video generation: Claude accepts image inputs but outputs only text and code, requiring a separate tool for any generative media task.; Trustpilot shows a wave of April 2026 billing complaints over unauthorized gi | 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 | Claude Sonnet 5 (default) / Haiku 4.5 | -- |
| Context window | 1M | 100 |
| MCP support | true | -- |
| Multimodal | text; vision; voice | -- |
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