Which AI model should I use?
Not sure? Start with #1 — you can switch to any other model mid-conversation without losing the thread. Omni AI has 23 models in total.
There is no single best AI model in 2026 — there is a best model per task. Claude Opus 5.5 writes best; GPT-6 Astra leads on coding, maths and long agentic work; the OpenAI models are the only ones with file upload and image input in Omni AI; Gemini 3.6 Flash handles million-token documents fastest; DeepSeek V3.2 Thinking is the cheap specialist for maths; Perplexity Sonar Pro is the one to use when you need citations. Omni AI puts all 23 in one chat so you can pick per message instead of per subscription.
All 23 models side by side
| Model | Maker | Best for | Context | Speed | Reasoning | Files / images in | Web search | Omni plan | Direct API $/1M in / out |
|---|---|---|---|---|---|---|---|---|---|
| GPT-5-Nano | OpenAI | Instant everyday answers | 400K | ●●●● | ○ | Yes / Yes | Yes | Free (default) | 0.05 / 0.4 |
| GPT-5.6 Luna | OpenAI | Fast daily work with real reasoning | 1M | ●●●● | ●●● | Yes / Yes | Yes | Pro | 0.2 / 1.2 |
| GPT-5.6 Terra | OpenAI | Balanced analysis, files, data | 1M | ●● | ●●●● | Yes / Yes | Yes | Pro | 2 / 12 |
| GPT-5.6 Sol | OpenAI | OpenAI's flagship: long, hard, multi-step work | 1M | ●● | ●●●● | Yes / Yes | Yes | Pro | 4 / 20 |
| GPT-6 Astra | OpenAI | Long, multi-step work that has to actually finish | 1M | ●● | ●●●● | Yes / Yes | Yes | Pro | 10 / 50 |
| Claude Haiku 4.5 | Anthropic | Quick, clean replies in Claude's voice | 200K | ●●●● | ●● | No / No | No | Pro | 1 / 5 |
| Claude Sonnet 5 | Anthropic | Coding and writing, day to day | 200K | ●●● | ●●●● | No / No | No | Pro | 2 / 10 |
| Claude Opus 4.8 | Anthropic | Deep research and long reasoning | 200K | ● | ●●●● | No / No | No | Pro | 5 / 25 |
| Claude Opus 5.5 | Anthropic | The best writer and reasoner available | 1M | ● | ●●●● | No / No | No | Pro | 4 / 20 |
| Grok 4.5 | xAI | STEM, current events, blunt opinions | 500K | ●● | ●●●● | No / No | Yes | Pro | 2 / 6 |
| Gemini 3.6 Flash | Huge documents, multimodal, fast | 1M | ●● | ●● | No / No | Yes | Pro | 0.75 / 3.75 | |
| Gemini 3.5 Flash Lite | Cheap, quick tasks | 1M | ●●●● | ● | No / No | No | Pro | 0.3 / 2.5 | |
| DeepSeek V3.2 | DeepSeek | Efficient multilingual chat | 164K | ●●● | ●● | No / No | No | Pro | 0.21 / 0.31 |
| DeepSeek V3.2 Thinking | DeepSeek | Maths proofs and logic puzzles | 164K | ○ | ●●●● | No / No | No | Pro | 0.21 / 0.31 |
| DeepSeek V4 Pro | DeepSeek | Open-weight flagship for code and agents | 1M | ●● | ●●●● | No / No | No | Pro | 0.87 / 1.74 |
| DeepSeek V4 Flash | DeepSeek | Strongest model on the free plan | 1M | ●●●● | ●● | No / No | No | Free | 0.07 / 0.17 |
| Mistral Medium 3.5 | Mistral | European, multilingual, open weights | 256K | ●● | ●●●● | No / No | No | Pro | 1.5 / 7.5 |
| Perplexity Sonar Pro | Perplexity | Research with citations | 200K | ●●● | ●●● | No / No | Yes | Pro | 3 / 15 (search included) |
| Seed 1.8 | ByteDance | Agentic tasks, video and screenshot understanding | 256K | ●●● | ●●● | No / No | No | Pro | 0.25 / 2 |
| Llama 4 Maverick | Meta | Open-weight generalist | 1M (128K on most hosts) | ●●● | ●●● | No / No | No | Pro | 0.2 / 0.8 |
| Qwen 3 VL Thinking | Alibaba | Reasoning over images, charts, STEM | 131K | ●● | ●●●● | No / No | No | Pro | 0.98 / 3.95 |
| Kimi K3 | Moonshot | Big-codebase coding, long agent runs | 1M | ●●● | ●●●● | No / No | No | Pro | 2.5 / 14 |
| Kimi K3 Fast | Moonshot | Kimi K3, served faster | 1M | ●●●● | ●●●● | No / No | No | Pro | 2.5 / 14 |
Best AI model for each job
- Writing and editing — Claude Opus 5.5, or Sonnet 5 when you want it faster. Tone, structure and judgment; fewer rewrites.
- Coding — GPT-6 Astra for agentic runs that have to finish, Claude Opus 5.5 for repository-scale changes, Kimi K3 when the codebase is huge.
- Maths and logic — GPT-6 Astra, which saturates FrontierMath Tier 4, or DeepSeek V3.2 Thinking as the cheap specialist. Let them think; do not use a “Fast” model here.
- Research with sources — Perplexity Sonar Pro, built for citations, or Grok 4.5 for the live web with strong STEM and news coverage.
- Long documents — Gemini 3.6 Flash: one million tokens, quick, cheap to run. GPT-5.6 Sol if you also need the analysis to be deep.
- Images and screenshots — GPT-6 Astra, GPT-5.6 Terra or Sol — the OpenAI models are the ones with image input enabled in Omni AI; Qwen 3 VL Thinking for charts and diagrams once vision is enabled for it.
- Translation and other languages — Mistral Medium 3.5 for European languages, DeepSeek V4 Pro for Chinese and multilingual work, Gemini 3.6 Flash for volume.
- Quick questions — GPT-5.6 Luna, or GPT-5-Nano on the free plan. Instant, and good enough for 80% of everyday asks.
- Brainstorming — Grok 4.5 for unfiltered angles, Claude Opus 5.5 for polished ideas, Seed 1.8 for creative multimodal work.
- Files and data — GPT-5.6 Terra: attachments supported, strong at tables and numbers, and cheaper than Sol.
Every model, in one paragraph each
GPT-5-Nano
The smallest GPT-5 model and Omni AI's default on the free plan. It answers almost instantly, handles images and attachments, and can search the web, which makes it the right first stop for everyday questions. It does not reason deeply and will miss subtleties a larger model catches.
Best for: Instant everyday answers.
Skip it for: Code you will ship, maths, anything with more than a few steps.
Try GPT-5-Nano in Omni AI →GPT-5.6 Luna
The cost-optimised member of the GPT-5.6 family. Faster than Terra and Sol with real reasoning ability, and the same million-token context and tool support.
Best for: Fast daily work with real reasoning.
Skip it for: The hardest reasoning; step up to Terra or Sol.
Try GPT-5.6 Luna in Omni AI →GPT-5.6 Terra
The balanced GPT-5.6: near-flagship intelligence at a fraction of Sol's price. In Omni AI it supports file attachments, image input and web search, so it is the natural choice for analysing a spreadsheet, a PDF or a screenshot.
Best for: Balanced analysis, files, data.
Skip it for: Very long agentic coding runs, where Sol pulls ahead.
Try GPT-5.6 Terra in Omni AI →GPT-5.6 Sol
OpenAI's flagship. Strongest of the family on long-horizon software tasks and a very strong generalist with a million-token window, files, images and web search. Slower and, direct from OpenAI, priced at $4 in / $20 out per million tokens — in Omni AI it is part of the Pro plan.
Best for: OpenAI's flagship: long, hard, multi-step work.
Skip it for: Quick chat; use Luna.
Try GPT-5.6 Sol in Omni AI →GPT-6 Astra
OpenAI's frontier model, released September 2026 and built to finish long, multi-step work rather than answer a single prompt. It scores 72.6% on OSWorld 2.0 computer use against 65.7% for GPT-5.6 Sol, and gets there in roughly 40 minutes per task instead of 75; on FrontierMath Tier 4 it jumps from Sol's 83.0% to 97.6%. A million-token window with files, images and web search. It is not first at everything - Claude Opus 5.5 writes better, and Astra trails on open-ended knowledge. Slow, and at $10 in / $50 out the most expensive OpenAI model here; in Omni AI it is part of the Pro plan.
Best for: Long, multi-step work that has to actually finish.
Skip it for: Quick questions - it is slow and costly. Use Luna or Nano.
Try GPT-6 Astra in Omni AI →Claude Haiku 4.5
The fast, small Claude. Clean, well-structured replies in the Claude style at a fraction of Sonnet's cost. In Omni AI it is text-only, with no web search or attachments.
Best for: Quick, clean replies in Claude's voice.
Skip it for: Research and anything that needs the web.
Try Claude Haiku 4.5 in Omni AI →Claude Sonnet 5
The everyday Claude, and for many people the best value model on this page: close to Opus on coding and writing, noticeably faster, and Anthropic dropped its price to $2 / $10 per million in 2026.
Best for: Coding and writing, day to day.
Skip it for: Browsing and file upload — it is text-only in Omni AI.
Try Claude Sonnet 5 in Omni AI →Claude Opus 4.8
The last of the Opus 4 line and still a serious research model with deep, careful reasoning. Slow, and in most cases Opus 5 now beats it at the same price.
Best for: Deep research and long reasoning.
Skip it for: Quick tasks.
Try Claude Opus 4.8 in Omni AI →Claude Opus 5.5
Anthropic's flagship, and the rare upgrade that is both stronger and cheaper than the model it replaces: it beats the larger Fable 5.1 on agentic coding (66.4% against 55.8% on Terminal-Bench 4.0) while costing $4 per million input tokens against Opus 5's $5. It generates roughly 30% faster than Opus 5 and uses fewer tokens per task. Judgment, tone and structure are where it stands apart. Text-only in Omni AI.
Best for: The best writer and reasoner available.
Skip it for: Anything trivial — it is still among the most expensive models here to run.
Try Claude Opus 5.5 in Omni AI →Grok 4.5
xAI's frontier model, strong on STEM and knowledge work, with live web search and a more direct, opinionated voice than the others.
Best for: STEM, current events, blunt opinions.
Skip it for: Polished long-form writing; Claude does that better.
Try Grok 4.5 in Omni AI →Gemini 3.6 Flash
Google's high-efficiency model: a million-token window, fast, built for coding and agentic work, with web search in Omni AI. Its reasoning score is lower than the flagships', but for "read this entire book, codebase or transcript and tell me…" it is the first choice.
Best for: Huge documents, multimodal, fast.
Skip it for: Hard reasoning and proofs.
Try Gemini 3.6 Flash in Omni AI →Gemini 3.5 Flash Lite
The lightest Gemini. Very fast, very cheap, million-token context, limited depth.
Best for: Cheap, quick tasks.
Skip it for: Anything where quality of reasoning matters.
Try Gemini 3.5 Flash Lite in Omni AI →DeepSeek V3.2
An efficient open-weight generalist with strong multilingual ability and good tool use; the same weights power the Thinking variant below.
Best for: Efficient multilingual chat.
Skip it for: Maths — switch to Thinking.
Try DeepSeek V3.2 in Omni AI →DeepSeek V3.2 Thinking
V3.2 with extended reasoning enabled. Slow by design, and the specialist on this page for mathematics, logic puzzles and formal proofs.
Best for: Maths proofs and logic puzzles.
Skip it for: Conversation; it thinks before every reply.
Try DeepSeek V3.2 Thinking in Omni AI →DeepSeek V4 Pro
DeepSeek's flagship: a 1.6-trillion-parameter mixture-of-experts model, open weights, million-token context, strong on coding and long agent workflows at a fraction of Western flagship prices.
Best for: Open-weight flagship for code and agents.
Skip it for: Web research — there is no browsing in Omni AI.
Try DeepSeek V4 Pro in Omni AI →DeepSeek V4 Flash
The efficiency version of V4 and the strongest model on Omni AI's free plan: million-token context, quick, solid at code and reasoning for its size.
Best for: Strongest model on the free plan.
Skip it for: Images and files — not supported in Omni AI.
Try DeepSeek V4 Flash in Omni AI →Mistral Medium 3.5
Europe's open-weight flagship (128B dense, modified MIT licence): 77.6% on SWE-bench Verified, vision, and excellent French, German, Spanish and Italian.
Best for: European, multilingual, open weights.
Skip it for: Web research.
Try Mistral Medium 3.5 in Omni AI →Perplexity Sonar Pro
Not a general chat model — a search-and-answer model that returns citations by default and is built for multi-step research questions.
Best for: Research with citations.
Skip it for: Writing, coding and creative work.
Try Perplexity Sonar Pro in Omni AI →Seed 1.8
ByteDance's agentic multimodal model, unusually strong at video understanding and screenshot-heavy tasks, with adaptive thinking depth.
Best for: Agentic tasks, video and screenshot understanding.
Skip it for: Precision maths and long-form writing.
Try Seed 1.8 in Omni AI →Llama 4 Maverick
Meta's open-weight mixture-of-experts generalist (17B active, 400B total). A capable, fast, inexpensive all-rounder, now outclassed by the 2026 open models above on hard tasks.
Best for: Open-weight generalist.
Skip it for: Frontier-level reasoning.
Try Llama 4 Maverick in Omni AI →Qwen 3 VL Thinking
A vision-language model with extended reasoning, aimed at STEM problems, charts and compositional visual analysis.
Best for: Reasoning over images, charts, STEM.
Skip it for: Speed.
Try Qwen 3 VL Thinking in Omni AI →Kimi K3
A 2.8-trillion-parameter open model that competes with Claude on big-codebase coding and long agent runs, with a million-token window.
Best for: Big-codebase coding, long agent runs.
Skip it for: Short chats — it is slow and expensive to run directly, at $14 per million output tokens from Moonshot.
Try Kimi K3 in Omni AI →Kimi K3 Fast
The same Kimi K3 served on Moonshot's high-throughput tier: identical answers, faster.
Best for: Kimi K3, served faster.
Skip it for: Nothing K3 would not also skip.
Try Kimi K3 Fast in Omni AI →How Omni AI picks models
Omni AI does not run its own models. Each request goes through a gateway to the model's maker — OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Meta, Moonshot, Alibaba, ByteDance or Perplexity — with a strict allowlist of the 23 models on this page. You see the same model the vendor sells to developers, at the vendor's current version, with no distillation or “lite” substitutes.
The free plan includes GPT-5-Nano and DeepSeek V4 Flash with a daily message limit. Pro ($9.99/month, $59.99/year) unlocks every model above and removes the limit. You can switch models in the middle of a conversation and the new model sees the whole thread, which is the fastest way to check one model's answer against another.
Frequently Asked Questions
Which AI model is the best in 2026?
For writing, Claude Opus 5.5; for coding, maths and long agentic work, GPT-6 Astra; for very long documents, Gemini 3.6 Flash; for cheap maths, DeepSeek V3.2 Thinking; for research with citations, Perplexity Sonar Pro. No single model wins every task, which is why Omni AI lets you switch per message.
Which models are free in Omni AI?
GPT-5-Nano, the default, and DeepSeek V4 Flash, with a daily message limit. Pro unlocks all 23 models and removes the limit.
Are these the real models or smaller versions?
The real ones. Requests go to each maker through a gateway with an allowlist of exactly these models, at the maker's current version.
What does “context window” mean?
How much text the model can hold at once — your messages, the files you attach and its replies. 200K tokens is roughly 150,000 words; 1M is about four full novels. Bigger is better for long documents, not necessarily for reasoning.
Can I switch models mid-conversation?
Yes. Pick another model from the selector and it sees the whole conversation so far. Asking a second model to check the first is the easiest way to catch mistakes.
Why are the OpenAI models the only ones with file upload and web search?
Those features are enabled per model in Omni AI. Today they are on for the OpenAI models, plus web search for Gemini 3.6 Flash and Grok 4.5, and search is built into Perplexity Sonar Pro. More models gain them as we enable them.
How much would these models cost directly?
Vendor list prices run from $0.05 per million input tokens for GPT-5-Nano to $10 in / $50 out for GPT-6 Astra. A heavy user on three vendor subscriptions pays $60+/month; Omni AI Pro is $9.99.
How often is this page updated?
Whenever the model list in the app changes; the date under the title is the last update. New models appear here the day they appear in the app.
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