Claude vs Gemini vs Llama vs Mistral vs DeepSeek: how to pick the right AI model for each job (2026)

There is no best AI model — there is a best model for the job. A practical guide to Claude, Gemini, Llama, Mistral, DeepSeek, GPT-OSS and Amazon Nova: what each is for, what it costs, and how to compare them on your own prompts in five minutes.

KKryotta TeamProduct & research · · 5 min read
Several glowing orbs in different colours arranged on a desk — choosing the right AI model for each job
Several glowing orbs in different colours arranged on a desk — choosing the right AI model for each job

Every few weeks a new leaderboard crowns a new "best AI model". Meanwhile the people actually getting work done have quietly settled on a different answer: there is no best model — there is a best model for the job in front of you. This guide is the practical version of that answer. No benchmarks, no vibes: which model to reach for, why, what it costs, and how to prove it on your own prompts in five minutes.

The one-minute cheat sheet

You want to…Reach forWhy
Write an email, proposal or long reportClaude Sonnet 4.5 (or Haiku 4.5 for speed)Follows detailed instructions, keeps a consistent voice, rarely bluffs
Research something that happened this weekGemini Flash / Pro with web groundingGrounds answers in live search and handles very long inputs
Solve maths, logic or a nasty bugDeepSeek R1A "thinking" model that reasons step by step before answering
Review or refactor codeClaude Sonnet 4.5, GPT-OSS 120BStrong at reading large codebases and explaining changes
Run thousands of prompts cheaplyAmazon Nova Micro, Llama 3.3, Gemini Flash Lite, GPT-OSS 20BCents per million tokens; fast; good enough for drafts and classification
Support customers in several languagesMistral LargeExcellent European-language quality; concise, structured answers
Make product imagesStable Image Core / SD 3.5 LargeFast Core tier; SD 3.5 for fidelity and image-to-image
Make a short marketing videoLuma Ray 2 / Amazon Nova ReelCinematic motion (Luma) or fast, affordable clips (Nova Reel)

If you only remember one row: Claude for words, Gemini for the web, DeepSeek R1 for hard reasoning, the cheap tier for volume.

Claude: the writer's model

Anthropic's Claude models — Sonnet 4.5, Haiku 4.5 and Opus 4.5 — are what most teams end up using for anything a customer will read. Two things set Claude apart in day-to-day use. First, instruction following: hand it a 12-point brief and it hits all twelve, in order, without inventing a thirteenth. Second, voice: give it three of your past emails and it writes the fourth in your tone rather than "AI tone".

Claude also reads images and long files, so a contract, a spreadsheet export or a product photo can go straight into the prompt.

Watch out for: cost. Sonnet is several times the price of an open model per token. Use Haiku 4.5 for first drafts and quick edits, and save Sonnet for the final pass and anything high-stakes.

Gemini: long context and the live web

Google's Gemini family is the pick when the answer depends on now. In Kryotta, Gemini can ground its answer in live web search, so "what changed in the EU AI Act this month" gets an answer with sources instead of a confident guess from last year's training data. Gemini also swallows very long inputs — think a 200-page PDF — without losing the thread.

Gemini Flash is fast and cheap enough to be a default assistant; Gemini Pro is the one for hard reasoning over big documents.

Watch out for: verbosity. Ask for a length ("in 120 words") and you'll get it.

DeepSeek: think first, then answer

DeepSeek V3 is a capable, low-cost generalist. DeepSeek R1 is different: it is a reasoning model that works through the problem before it writes the answer. For maths, logic puzzles, tricky SQL and algorithmic bugs, that pause is worth it — the answers are right more often, and you can see the reasoning.

Watch out for: latency. R1 thinks before it types, so it is the wrong pick for snappy chat.

Llama, GPT-OSS and Amazon Nova: the value tier

Meta's Llama 3.3 70B, OpenAI's open-weight GPT-OSS (120B and 20B) and Amazon's Nova (Pro, Lite, Micro) are where the economics get interesting. They cost a fraction of frontier models and are more than good enough for the bulk of everyday work: quick answers, brainstorming, classification, extraction, first drafts.

This is also the tier Kryotta's Auto routing leans on. Leave the model picker on Auto and easy prompts go here automatically; hard ones go to Claude or Gemini. Every answer is labelled with the model that produced it, so nothing is hidden.

Mistral: multilingual and to the point

Mistral Large is concise, structured and unusually good across European languages. Teams doing multilingual support content or extracting data into tables and JSON tend to keep it in rotation.

Images and video: Stability and Luma

For images, Stable Image Core is the fast, inexpensive everyday choice and SD 3.5 Large the high-fidelity one — it also supports image-to-image, so you can restyle a product photo instead of starting from scratch. For video, Luma Ray 2 gives cinematic motion and Amazon Nova Reel fast, affordable clips. In Kryotta both open in a Canva-style editor afterwards: text, shapes, audio, overlays, export to MP4.

How to compare models properly (five minutes)

  1. Use a real task, not a riddle. Paste the actual email, brief or bug you have today. Benchmarks measure benchmarks; your prompt measures your work.
  2. Run it through three or four models at once. In Kryotta's Compare arena every model gets the identical prompt and files.
  3. Judge on three things: did it follow the instructions, is it correct, and what did it cost / how fast was it? Kryotta shows speed and relative cost next to each answer.
  4. Keep the winner as your default for that kind of task — or leave Auto on and let it route.

Do this once for each of the three or four things you do most, and you'll have a better answer than any leaderboard.

Frequently asked questions

Is Claude better than ChatGPT / GPT-OSS? For careful, customer-facing writing most teams prefer Claude. GPT-OSS is a strong general reasoner and coder at open-model prices — great value for internal work. Test both on your prompt.

What is the cheapest good AI model? Amazon Nova Micro, Llama 3.3, Gemini Flash Lite and GPT-OSS 20B. All are inside Kryotta and used by Auto routing.

Do I need separate subscriptions? No. Kryotta bundles every model above into one workspace with one pooled allowance and one bill — free to start.

Which model should I default to? Auto. It picks per prompt, labels every answer, and you can override any time.

Ready to test this on your own work? Open the Compare arena free — every model in this guide is inside.

K
Written by
Kryotta Team
Product & research

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