GPT vs Claude vs Gemini — and Grok and Llama too
Five model families, five makers, and a separate $20/month subscription for each of the big consumer apps. This guide compares the families on the facts that decide everyday use — the flagship and the value pick in each, the context window (how much text a model can hold in mind at once), and the published per-token rates — using the 12 models in MultiO’s catalogue as the reference set. No benchmark scores: leaderboards change weekly and rarely match your workload. Your own prompts are the honest test, which is why the closing section matters.
GPT — OpenAI
- Flagship: GPT-5.5 — 256,000-token context; 33,333 in / 200,000 out MultiO tokens per 1,000 real tokens.
- Value picks: GPT-5.4 Mini and GPT-5.4 Nano — larger 400,000-token contexts at a fraction of the flagship rate (5,000 / 30,000 and 1,333 / 8,333 per 1K).
- Generally chosen for: a general-purpose default across writing, coding help and analysis; the Mini and Nano tiers handle high-volume everyday prompts where a flagship is more than the task needs. The flagship and Mini also read images.
Claude — Anthropic
- Flagship: Claude Opus 5.5 — 200,000-token context; 26,667 in / 133,333 out per 1K.
- Everyday middle: Claude Sonnet 5.5 — 200,000-token context; 13,333 in / 66,667 out per 1K. Value pick: Claude Haiku 5.5 — 667 in / 3,333 out per 1K.
- Generally chosen for: long-form writing and editing, and careful work through long documents — the family many people reach for when the wording itself is the work. Haiku covers quick, short tasks at the family’s lowest rate.
Gemini — Google
- Flagship: Gemini 3.1 Pro — a 1,000,000-token context, the joint-largest window in this catalogue; 13,333 in / 80,000 out per 1K.
- Value pick: Gemini 3.1 Flash Lite — the same 1,000,000-token context at 1,667 in / 10,000 out per 1K.
- Generally chosen for: very long documents and large context — whole codebases, long reports, book-length material. One pricing honest-note: prompts over 200,000 input tokens are charged at a higher long-context band (26,667 in / 120,000 out per 1K) for the whole request, and MultiO publishes both bands rather than only the lower one.
Grok — xAI (via OpenRouter)
- Flagship: Grok 4.7 — 500,000-token context; 13,333 in / 40,000 out per 1K.
- Value pick: Grok 4.3 — a 1,000,000-token context at 8,333 in / 16,667 out per 1K.
- Generally chosen for: a second flagship opinion alongside GPT, Claude and Gemini — the family people add to a side-by-side comparison when they want a genuinely different model answering the same question, with a large context window of its own.
Llama — Meta (via OpenRouter)
- Llama 4 Maverick — 128,000-token context; 1,250 in / 4,350 out per 1K. Llama 4 Scout — 128,000-token context; 667 in / 2,000 out per 1K.
- Generally chosen for: high-volume, cost-sensitive work. These open-weight models carry the lowest per-token rates in the table below, which makes them the natural landing spot for quick questions and bulk tasks. In MultiO they are text models (no image input).
The full rate table
Every chat model in the catalogue, at MultiO’s published rates. Rates follow the providers’ published list prices, converted at a fixed pivot: 1,000,000 MultiO tokens = $0.15 of standard-tier usage. Cached (repeat) input is charged at 0.1× the input rate. To turn these rates into a monthly figure for your own usage, use the model cost calculator.
| Model | Family | Tier | Context | Input / 1K | Output / 1K |
|---|---|---|---|---|---|
| GPT-5.5 | GPT (OpenAI) | Flagship | 256,000 | 33,333 | 200,000 |
| GPT-5.4 Mini | GPT (OpenAI) | Mid | 400,000 | 5,000 | 30,000 |
| GPT-5.4 Nano | GPT (OpenAI) | Small | 400,000 | 1,333 | 8,333 |
| Claude Opus 5.5 | Claude (Anthropic) | Flagship | 200,000 | 26,667 | 133,333 |
| Claude Sonnet 5.5 | Claude (Anthropic) | Mid | 200,000 | 13,333 | 66,667 |
| Claude Haiku 5.5 | Claude (Anthropic) | Small | 200,000 | 667 | 3,333 |
| Gemini 3.1 Pro | Gemini (Google) | Flagship | 1,000,000 | 13,333 | 80,000 |
| Gemini 3.1 Flash Lite | Gemini (Google) | Mid | 1,000,000 | 1,667 | 10,000 |
| Grok 4.7 | Grok (xAI) | Flagship | 500,000 | 13,333 | 40,000 |
| Grok 4.3 | Grok (xAI) | Mid | 1,000,000 | 8,333 | 16,667 |
| Llama 4 Maverick | Llama (Meta) | Mid | 128,000 | 1,250 | 4,350 |
| Llama 4 Scout | Llama (Meta) | Small | 128,000 | 667 | 2,000 |
Rates in MultiO tokens per 1,000 real tokens, as published on the live rate card. Gemini 3.1 Pro’s long-context band (prompts over 200,000 input tokens: 26,667 in / 120,000 out per 1K) is additional to the standard band shown.
Or use all of them in one subscription
MultiO gives you every top AI model — GPT, Claude, Gemini, Grok and Llama — under one subscription instead of five. Leave routing on Auto and each message goes to the most cost-efficient model that can handle it, or pin a flagship yourself. Every message carries a receipt showing its exact token charge at published rates, and Compare lets you ask up to three models side by side. It also includes deep research with citations, image and video generation, live voice, a code assistant that opens pull requests from your GitHub repos, projects, documents with Word/Excel/PDF export, and a developer API.
On a typical workload, a token grant lasts ~3–4× longer with Auto than if every message went to a flagship model. (Modelled on a 300-message/month median workload at published rates; your mix will vary. Every message shows its exact token charge on its receipt.)
Pricing: free trial of 3,000,000 tokens, no card required · Pro $20/month with 80,000,000 tokens · Household $39/month, pooled for up to 5 people · pay-as-you-go top-ups. Run your own numbers in the model cost calculator.