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AI Model Comparison — 20+ LLMs Across Price, Context, Speed & Capabilities (2026)

AI model comparison — 20+ models (GPT / Claude / Gemini / Llama / Qwen) across price, context, speed, capabilities (2026).

  • Runs locally
  • Category AI Tools
  • Best for Estimating cost, shaping prompts, or comparing options before execution.

Compare 20+ AI models on the columns that actually decide your pick.

Data as of 2026-07-02
22 models
Yi-Lightning01.AI16K$0.14$0.14130Jun 2024
8.9
8.1
8.0
59.52
Gemini 2.0 FlashGoogle1M$0.15$0.60180Aug 2024
8.3
8.2
8.0
28.65
GPT-4o miniOpenAI128K$0.15$0.60100Oct 2023
7.5
7.8
7.5
26.67
DeepSeek V3OWDeepSeek128K$0.27$1.1060Dec 2024
9.1
9.0
8.7
17.21
Qwen 2.5 72BOWAlibaba128K$0.40$1.2065Sep 2024
9.2
8.5
8.3
13.54
DeepSeek R1OWDeepSeek128K$0.55$2.1940Dec 2024
9.0
9.1
9.3
8.77
GLM-4 PlusZhipu128K$0.70$2.1075Aug 2024
9.0
8.4
8.2
7.62
Gemini 2.0 ProGoogle2M$1.25$5.0095Nov 2024
8.7
8.7
8.8
3.68
Claude Haiku 4.5Anthropic200K$1.00$5.00140Feb 2025
7.9
8.1
7.8
3.61
Qwen 2.5 MaxAlibaba32K$1.60$6.4070Oct 2024
9.3
8.7
8.6
2.92
Mistral Large 2OWMistral128K$2.00$6.0060Jul 2024
7.6
8.3
8.2
2.51
GPT-4.1OpenAI1M$2.00$8.00110May 2024
8.5
8.9
8.6
2.28
GPT-4oOpenAI128K$2.50$1090Oct 2023
8.4
8.3
8.1
1.74
Claude Sonnet 4Anthropic200K$3.00$1580Jan 2025
8.6
9.3
8.9
1.35
ERNIE 4.0 TurboBaidu128K$4.00$1260May 2024
9.1
7.9
8.1
1.31
Grok 3xAI128K$3.00$1570Nov 2024
8.0
8.6
8.9
1.29
GPT-4 TurboOpenAI128K$10$3035Dec 2023
7.8
8.2
8.4
0.51
o3OpenAI200K$10$4030Jun 2024
8.5
9.2
9.6
0.48
o1OpenAI200K$15$6025Oct 2023
8.2
8.8
9.4
0.31
Claude Opus 4.7Anthropic1M$15$7555Mar 2025
9.0
9.5
9.5
0.28
Llama 3.3 70BOWMeta128Kself-hostedself-hosted70Jul 2024
7.4
8.0
8.1
—
Llama 4OWMeta1Mself-hostedself-hosted80Feb 2025
8.1
8.5
8.6
—

Leaderboards

Best value
  1. 1.Yi-Lightning59.52
  2. 2.Gemini 2.0 Flash28.65
  3. 3.GPT-4o mini26.67
  4. 4.DeepSeek V317.21
  5. 5.Qwen 2.5 72B13.54
Best Chinese
  1. 1.Qwen 2.5 Max9.3
  2. 2.Qwen 2.5 72B9.2
  3. 3.DeepSeek V39.1
  4. 4.ERNIE 4.0 Turbo9.1
  5. 5.Claude Opus 4.79.0
Best at code
  1. 1.Claude Opus 4.79.5
  2. 2.Claude Sonnet 49.3
  3. 3.o39.2
  4. 4.DeepSeek R19.1
  5. 5.DeepSeek V39.0
Best reasoning
  1. 1.o39.6
  2. 2.Claude Opus 4.79.5
  3. 3.o19.4
  4. 4.DeepSeek R19.3
  5. 5.Claude Sonnet 48.9

Sources: vendor public pricing pages + Artificial Analysis public benchmarks.

What this tool does

Side-by-side comparison of 20+ current AI models — GPT-4 Turbo, GPT-4o, GPT-4.1, o1, o3, Claude Sonnet 4, Claude Haiku 4.5, Claude Opus 4.7, Gemini 2.0 Flash, Gemini 2.0 Pro, Llama 3.3, Llama 4, Mistral Large, Qwen 2.5, DeepSeek V3, GLM-4, Yi and more. Every row carries the data that actually decides your model pick: vendor, license (closed / open-weight), context window, input price per million tokens, output price per million tokens, throughput in tokens per second, training cutoff, plus three capability scores we track ourselves — Chinese, code, reasoning — each on a 0-10 scale. The table sorts by any column with one click, and the filter row narrows by vendor, price band, context size, and open-vs-closed weights. Four built-in leaderboards surface the practical picks: best value (capability per dollar), best at Chinese, best at code, best at reasoning. Numbers are sourced from vendor public pricing pages and Artificial Analysis public benchmarks and dated — we do not hide which day the snapshot was taken. No model is hidden behind an affiliate link, no vendor pays to rank, and the whole comparison ships as a static table that runs entirely in your browser.

Tool details

Input
Text + Numbers
The page exposes text boxes, numeric controls, file pickers, or structured inputs depending on the tool.
Output
Live result + Copy
The result area focuses on usable output, with copy, download, or preview actions when supported.
Privacy
Browser-side processing
The main tool logic does not call an external API, so inputs normally stay in the current tab.
Save / share
Shareable URL state
Key settings are encoded in the URL so another person can reopen the same setup.
Performance budget
Initial JS <= 25 KB
No WASM budget is declared, keeping the tool quick to open on mobile.
Best fit
AI Tools · Developer
Category and role tags drive related tools, internal links, and quick fit checks.

How to use

  1. 1. Input

    Paste or drop your content into the tool panel.

  2. 2. Process

    Click the button. All processing is local in your browser.

  3. 3. Copy / Download

    Copy the result or download to disk in one click.

How AI Model Comparison fits into your work

Use it to plan, compare, or structure AI work before spending time or tokens on the real run.

AI workflow jobs

  • Estimating cost, shaping prompts, or comparing options before execution.
  • Turning vague AI work into a checklist, template, or measurable plan.
  • Keeping repeatable AI tasks consistent across a team.

AI checks

  • Review assumptions before sending data to a model provider.
  • Avoid pasting confidential data into prompts unless your policy allows it.
  • Treat generated recommendations as a draft until verified.

Good next steps

These links move the current task into a more complete workflow.

  1. 1 JSON Formatter & Validator Format, validate, and minify JSON instantly — right in your browser. Open
  2. 2 AI Token Counter AI token counter — estimate token count for GPT / Claude / Gemini, with per-model cost calculator (2026 pricing). Open
  3. 3 Prompt Template Library 200+ prompt templates for ChatGPT, Claude, Gemini — copy-paste, browse by use case. Open

Real-world use cases

  • Picking a model for a 40-page contract summarizer

    You feed 80k-token contracts and need cheap output. Sort by context window first to drop anything under 128k, then by input price. GPT-4o mini and Gemini Flash survive at well under 1 dollar per million input; you skip Opus for this job because reasoning score barely matters when the task is extraction. The table makes the trade visible in two clicks.

  • Choosing a Chinese-first customer support bot

    A Shenzhen support team gets 12k tickets a day in Chinese. You sort by the Chinese capability column, not the overall vibe. Qwen 2.5 and DeepSeek V3 land above GPT-4o here, and DeepSeek's self-hosted option cuts the per-ticket cost to near zero on your own GPUs. The reasoning column tells you it still handles refund-logic edge cases.

  • Budgeting a code-review agent before you commit

    Your agent runs 200 reviews a night, roughly 6k input and 1.5k output tokens each. Filter to code score 8+, then read the input/output price columns to estimate monthly spend per model. Claude Sonnet 4 and GPT-4.1 both clear the code bar, but the price gap is 3x at your volume, which is 400 dollars a month you can move to compute elsewhere.

  • Deciding between open-weight and a hosted API

    You weigh self-hosting Llama 4 against paying for Gemini Pro. Toggle the open-vs-closed filter to line them up. The table marks Llama price as self-hosted, so you compare capability scores and throughput directly and do the hardware math yourself instead of trusting a single rented per-token rate that hides your real fixed cost.

Common pitfalls

  • Sorting by an imagined overall rank. There is none here, on purpose. Pick the Chinese, code, or reasoning column that matches your task, or use the best-value leaderboard.

  • Comparing only input price. A summarizer is input-heavy but a chatbot is output-heavy, where output price (often 4x input) dominates; read both columns for your real prompt/completion ratio.

  • Treating a self-hosted row's blank price as free. Self-hosted means your GPU bill, not zero; compare capability and throughput, then do the hardware math separately.

Privacy

Everything runs in your browser against a static data array shipped with the page. Your sorts, filters, and which columns you click never leave the device, never hit an API, and never enter the URL. There is no analytics on your interaction and no account, so nothing about which models you compared is logged anywhere.

FAQ

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Made by Toolora · 100% client-side · Updated 2026-07-02