Is LLM Arena better than ChatGPT?

ChatGPT only gives you OpenAI models. LLM Arena gives you OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Cohere, and 60+ more — running side by side in the same window. If you only ever want one answer to one question, ChatGPT is fine. If you want to compare answers, catch hallucinations, find the cheapest model that works, or stress-test a prompt before shipping it into production, LLM Arena is built for that and ChatGPT is not.

Can I use Claude without paying Anthropic directly?

Yes. LLM Arena routes Claude requests (Haiku 4.5, Sonnet, and Opus tiers) through your Imagera credit balance, so you never need an Anthropic account, an Anthropic API key, or an Anthropic Pro subscription. Same answer applies to GPT, Gemini, Grok, DeepSeek, and every other model in the catalogue — one Imagera plan covers all of them. This is especially useful for teams who don't want to manage a dozen separate billing relationships.

How does Imagera LLM Arena compare to Poe?

Poe lets you talk to one bot at a time and switch between them. LLM Arena lets you ask one question and watch up to ten different models answer it at the same time, in parallel panes, with synchronized streaming. Poe charges a monthly subscription regardless of usage; LLM Arena bills per question (5 credits floor) so casual users pay less. Poe is built for chatting; Arena is built for comparing, evaluating, and picking winners.

What models does LLM Arena support?

More than 60 production-grade language models from every major provider — OpenAI (GPT-5.5, GPT-5.4 Mini, o1), Anthropic (Claude Opus 4.7, Sonnet 4.6, Haiku 4.5), Google (Gemini 2.5 Pro, 2.5 Flash, 3.1 Pro Preview), xAI (Grok 4.3), DeepSeek (V3, R1), Meta (Llama 4 Maverick Maverick), Mistral, Cohere, Qwen, and others. The catalogue is refreshed continuously — when a new flagship ships, it appears in the model picker the same week, no waiting for an app update.

How much does LLM Arena cost?

Pay-per-question, no subscription required. Each pane costs a 5-credit minimum (roughly $0.15 with the entry plan). A typical three-model comparison on a short prompt clears at the 15-credit floor; longer prompts on flagship models cost more. There is no monthly fee, no per-seat pricing, and no surprise overage. You can run one comparison and stop, or run a thousand — the meter is the same. See /pricing for credit packs starting at $4.99.

No. That is the entire point. You do not need an OpenAI key, an Anthropic key, a Google AI Studio key, an xAI key, or any other key. You log in, you type, you get answers from every model. This removes the single biggest barrier most people face when trying to compare LLMs — the half-hour of account-creation work they would have to do across five different vendor consoles before writing the first prompt.

Is my prompt data shared with the models?

Your prompt is sent to each model you select so they can answer it — that is unavoidable for any LLM service. Imagera does not train on your prompts, does not sell them, and does not share them with third parties beyond the model providers needed to fulfil the request. We do not retain your prompts beyond what's required to render your conversation history in the studio. See /privacy for the full policy.

Can I save my LLM Arena conversations?

Yes. Every conversation is saved automatically to your Arena history, organised by thread. You can rename, archive, search, and re-open any thread from any device by signing in. The full message history including streamed responses and any artifacts (code blocks, generated tables, JSON outputs) is preserved. You can also pin the model selection to a thread so the next prompt routes to the same panel without re-picking models.

Which model is fastest for coding?

For day-to-day code completion and refactoring, Claude Haiku 4.5 and GPT-5.4 Mini both stream useful answers in under three seconds for typical prompts. For deeper architectural work involving multi-file reasoning, Claude Sonnet and GPT-5.5 are slower but produce noticeably better plans. The honest answer is — run the same prompt through three models in LLM Arena and let the streams race. The fastest model for your prompt is rarely the one a generic benchmark predicts.

NEW · LLM ARENA

Ask 10 AIs the same question.
Steal the best answer.

LLM Arena is a side-by-side AI chat. One prompt fans out to up to ten different language models — GPT-5.5, Claude Haiku 4.5, Gemini 2.5 Flash, Grok 4, DeepSeek V4 Pro and more — answering in synchronized panes with real-time streaming. No vendor API keys, one Imagera login covers every model, pay-per-question. Pick the winner, catch the hallucination, ship with confidence.

See how it works

60+ models · GPT, Claude, Gemini, Grok, DeepSeek + more · No API keys

Last updated: June 2026

llm-arena.imagera.ai · prompt: "Explain transformer attention to a smart 12-year-old"

GPT-5.4 Mini

OpenAI

Answer streaming

Claude Haiku 4.5

Anthropic

Answer streaming…

Gemini 2.5 Flash

Google

Answer streaming…

Three of sixty-plus models shown · Pick your own lineup in the studio

~3 sec to first token

Live streaming demo arrives in Phase 2 — placeholder shown.

Q:What is LLM Arena?

A: LLM Arena is a side-by-side AI chat that runs the same prompt through up to ten different language models — GPT-5.5, Claude Haiku 4.5, Gemini 2.5 Flash, Grok 4.3, DeepSeek V4 Pro, Llama 4 Maverick and more — in parallel panes with synchronized streaming.

Q:Why use it instead of ChatGPT?

A: ChatGPT only gives you one answer from one company. LLM Arena gives you ten answers from nine companies in the same time, so you can pick the best one, catch hallucinations the moment another model contradicts them, and never wonder if a different model would have done better.

Q:How many models can I compare at once?

A: Up to ten in a single prompt. Most users settle into a personal trio (commonly GPT-5.4 Mini + Claude Haiku 4.5 + Gemini 2.5 Flash) for everyday work and switch to bigger flagship lineups for harder questions.

Q:Do I need API keys for any of the models?

A: No. One Imagera login covers OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Cohere, Qwen and the rest of the 60+ catalogue. No vendor accounts, no key management, no monthly subscriptions to nine separate consoles.

Q:How much does a single comparison cost?

A: Five credits per pane, with no subscription floor — a typical three-model comparison on a short prompt resolves at the 15-credit minimum (roughly $0.45 on the entry plan). You only pay when you ask a question.

Q:Can I save a conversation across sessions?

A: Yes. Every thread is saved automatically and is searchable from any device. The model selection sticks to the thread, so the next prompt routes to the same panel without re-picking models.

Last updated: June 2026 | 6 frequently asked questions

What is LLM Arena?

LLM Arena is a side-by-side AI chat that lets you run one prompt through up to ten different language models simultaneously, with synchronized streaming, in one window. It removes the manual work of opening five vendor consoles, copy-pasting the same prompt into each, and trying to compare answers across browser tabs.

Imagera's LLM Arena ships with sixty-plus production-grade models from OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Cohere, Qwen and others. There are no vendor API keys to manage; one Imagera login covers the whole catalogue. Billing is per-question (a 5-credit floor per pane), so you only pay when you ask a question — there is no monthly subscription.

Related: multi-model chat, side-by-side LLM, AI comparison tool, ChatGPT alternative, Poe alternative, OpenRouter alternative, GPT vs Claude, AI hallucination detection

Five ways teams use the arena

Real prompts. Real models.The work you actually do.

The arena is not a benchmark and not a leaderboard. It is the place you go when the answer matters and you want a second opinion from a different model family — for the next eight seconds, or the next eight months.

Use case 01Cross-family comparison

Settle the GPT-vs-Claude debate in 8 seconds

The cost of NOT comparing is wasted hours on benchmark threads and the regret that comes from going all-in on one model. Real prompts beat synthetic evals every single time. Cross-family comparison surfaces the quirks of each model — the way GPT hedges, the way Claude over-explains, the way Gemini truncates — for YOUR domain, in seconds, not weeks. You stop arguing about which model is theoretically better and start watching them fail or shine on the actual work you do.

Run real prompts, not synthetic evals
Catch model-quirks for YOUR domain
Save the comparison transcript for next time

Best 3-day Tokyo itinerary for a coffee enthusiast

GPT-5.5Best

Day 1: Omotesando — start at Koffee Mantra, then walk Cat Street to Streamer for a latte tasting.

Claude Opus 4.7

Day 1 morning, head to Bear Pond Espresso in Shimokitazawa; afternoon, ride to Fuglen Tomigaya for filter.

Use case 01Cross-family comparison

Settle the GPT-vs-Claude debate in 8 seconds

Run real prompts, not synthetic evals
Catch model-quirks for YOUR domain
Save the comparison transcript for next time

Best 3-day Tokyo itinerary for a coffee enthusiast

GPT-5.5Best

Day 1: Omotesando — start at Koffee Mantra, then walk Cat Street to Streamer for a latte tasting.

Claude Opus 4.7

Day 1 morning, head to Bear Pond Espresso in Shimokitazawa; afternoon, ride to Fuglen Tomigaya for filter.

HOW IT WORKS

Three steps. About a minute.

The whole point of LLM Arena is removing friction. The first question you run is faster than logging into a single vendor console.

Pick your models

Open the model picker and select up to ten LLMs. Most users settle into a default trio of GPT-5.4 Mini, Claude Haiku 4.5, and Gemini 2.5 Flash for everyday questions, and scale up to a ten-model lineup with flagships only when the question is hard. The picker remembers your selection per thread, so you only pick once.

Type one prompt

Drop your real prompt — the actual one you were about to send to ChatGPT — into the composer. Attach files or images if the prompt needs them; the panes that support vision will automatically receive the attachment, the ones that don't will gracefully skip it. No prompt re-formatting needed.

Watch them stream

All selected models start answering at the same moment in synchronized panes. Pick the winner, copy the best paragraph, re-prompt the losers without re-typing the question, or pin the lineup so the next prompt routes to the same panel. Every conversation is saved automatically to your Arena history.

WHY LLM ARENA

A fair comparison with the obvious alternatives.

Most people who land here have already tried one of three things: paying for ChatGPT Plus and feeling locked into one vendor, paying for a Poe subscription and switching bots one at a time, or wiring up the OpenRouter playground because they wanted access to multiple models and found themselves managing API keys and token budgets at 11pm on a Tuesday. None of those options feel finished.

LLM Arena solves a more specific problem than any of them: it answers the question "which model is right for THIS prompt" — not "which model is right in general." The answer almost always changes prompt to prompt. A coding refactor leans Claude. A five-line tool-use chain leans GPT. A real-time-news synthesis leans Grok. A long cheap summarisation leans Gemini Flash. You only know which one wins by running them at the same time on the same input, which is exactly what Arena does.

Compared to ChatGPT, the difference is range — Arena ships with sixty-plus models across nine vendors instead of just OpenAI's lineup. Compared to Poe, the difference is parallelism — you do not switch between bots, you watch them race. Compared to the OpenRouter playground, the difference is finish — no API keys, no token budget spreadsheet, no vendor account farm; one Imagera login covers everything and the bill arrives in credits.

None of this is magic. It is the obvious product if you assume the goal is "pick the best answer," not "talk to a chatbot." The reason it did not exist before is that routing one prompt to ten different SSE streams in synchronized panes is unreasonably fiddly to build, and most teams stop at three. We did not stop at three.

Swipe to compare

LLM Arena vs ChatGPT Plus vs Poe vs OpenRouter Playground vs Anthropic Console — feature comparison
Feature	Imagera Imagera LLM Arenaone window, every model	AlternativeChatGPT PlusOpenAI only	AlternativePoeQuora aggregator	AlternativeOpenRouter PlaygroundAPI console	AlternativeAnthropic ConsoleClaude only
Multiple AI models in one prompt	Up to 10 in parallel	One model per chat	Limited (3 max)	Sequential only	Claude only
Side-by-side streaming	Real-time, all panes at once	n/a	Partial	n/a	n/a
Models from multiple providers	OpenAI + Anthropic + Google + xAI + DeepSeek + Meta + Mistral + 50+	OpenAI only	Many	Many	Anthropic only
Latest models day-of-launch	Same week the model ships	Variable lag	Variable	Same week	Same week
Pricing model	Pay-per-question (5 credits floor)	$20/mo flat	$20/mo or per-message	API metering	API metering
API keys required	One Imagera login	n/a	n/a	Yes — your own	Yes — your own
Free tier	Daily free credits	n/a	Limited	$5 trial	$5 trial
No usage caps on flagship models	Per credit balance	Hidden caps	Hidden caps	Per balance	Per balance
Best-answer flagging	Built-in highlight	n/a	n/a	n/a	n/a
Save / share comparison	Linkable threads	Single chat only	Limited	n/a	n/a
Vision / multimodal in arena	Where model supports	One at a time	Limited	One at a time	One at a time
"Catch hallucination" workflow	Native — three-pane triangulation	Manual copy-paste	Partial	Manual	Manual

Competitor pricing accurate as of May 2026 — confirm on each provider's site.

SIX OF SIXTY-PLUS

A taste of the lineup.

The full picker covers more than sixty models from nine vendors. New flagships appear in the catalogue the same week they ship — there is nothing for you to update.

GPT-5.4 Mini

OpenAI

fast all-rounder, strong tool use

Claude Haiku 4.5

Anthropic

best long-form writing under three seconds

Gemini 2.5 Flash

Google

cheapest streaming flagship of 2026

Grok 4

xAI

real-time web context, sharper answers on news

DeepSeek V4 Pro

DeepSeek

open-source flagship, top of public benchmarks

Llama 4

Every flagship in one place.Filter by what you actually do.

The Arena routes to every flagship that matters in May 2026 — OpenAI, Anthropic, Google, xAI, DeepSeek, Meta, Mistral, Cohere, Alibaba — plus dozens more in the studio picker. Tap a chip to see the models tuned for your workload.

Showing 18 of 18 models

GPT-5.5 Pro

OpenAI

Flagship reasoning + tool use, deep analytical work

Context: 400K tokens
Speed: Deep
Price: Premium

Code
Writing
Long context

GPT-5.5

OpenAI

Daily-driver mainline, balanced quality and price

Context: 400K tokens
Speed: Medium
Price: Mid

Code
Writing
Vision

GPT-5.4 Mini

OpenAI

Fast budget tier, sub-3-second responses

Context: 128K tokens
Speed: Fast
Price: Cheap

Code
Cheap
Fast

Claude Opus 4.7

Anthropic

Best long-form writing and nuanced analysis in 2026

Context: 500K tokens
Speed: Deep
Price: Premium

Writing
Long context

Claude Sonnet 4.6

Anthropic

Mid-tier balanced — writing without flagship cost

Context: 500K tokens
Speed: Medium
Price: Mid

Writing
Code

Claude Haiku 4.5

Anthropic

Sub-3-second streaming, surprising depth for the price

Context: 200K tokens
Speed: Fast
Price: Cheap

Fast
Cheap
Writing

Gemini 2.5 Pro

Google

Million-token context, strongest at cross-document reasoning

Context: 1M tokens
Speed: Medium
Price: Mid

Long context
Vision
Writing

Gemini 2.5 Flash

Google

Cheapest streaming flagship of 2026, fast and capable

Context: 1M tokens
Speed: Fast
Price: Cheap

Fast
Cheap
Long context

Gemini 3.1 Pro Preview

Preview

Google

Latest experimental — Google's newest reasoning push

Context: 2M tokens
Speed: Deep
Price: Premium

Long context
Writing

Grok 4.3

xAI

Real-time web context, sharper on news and live events

Context: 256K tokens
Speed: Medium
Price: Mid

Writing
Real-time

DeepSeek V4 Pro

Open

DeepSeek

Open-source flagship, top of public reasoning benchmarks

Context: 128K tokens
Speed: Deep
Price: Mid

Code
Open

DeepSeek V4 Flash

Open

DeepSeek

Cheap fast open-source, best $/quality tradeoff

Context: 64K tokens
Speed: Fast
Price: Cheap

Fast
Cheap
Open

Llama 4 Maverick

Open

Llama 4 Scout

Open

Mistral Large 3

Mistral

EU-hosted flagship, strong multilingual + reasoning

Context: 256K tokens
Speed: Medium
Price: Mid

Writing
Long context

Qwen 3 Max

Alibaba

Multilingual including Chinese, strong code generation

Context: 128K tokens
Speed: Medium
Price: Mid

Code
Writing

Cohere Command R+

Cohere

Enterprise RAG specialist, best for grounded retrieval

Context: 128K tokens
Speed: Medium
Price: Mid

Writing

Mistral Medium 3.1

Mistral

Mid-tier EU model, balanced quality and speed

Context: 128K tokens
Speed: Fast
Price: Cheap

Fast
Writing

Plus 40+ more models in the picker. The catalogue updates every week as new flagships ship.

See the full picker in the studio

FREQUENTLY ASKED

Real questions, honest answers.

If you are about to ask Reddit, ask us first.

There is no single best LLM in 2026 — the right model depends on your task. GPT-5.5 leads on general reasoning and tool use, Claude Haiku 4.5 is unmatched for long-form writing and nuanced analysis, Gemini 2.5 Flash dominates on speed and price-per-answer, Grok 4.3 wins on real-time web context, and DeepSeek V4 Pro leads open-source benchmarks. LLM Arena lets you ask all five the same question in one shot so you can see for yourself which one wins for your use case, instead of trusting a leaderboard.

Five credits per pane, no subscription, no per-seat pricing, no surprise overage.

START WITH ONE PROMPT

Skip the bookmarked benchmark threads. Open Arena, pick your trio, and let the answer come to you in three seconds.

No credit card to browse the studio · No API keys to configure · Sign in when you want to send a prompt

Ask 10 AIs the same question.Steal the best answer.

Q:What is LLM Arena?

Q:Why use it instead of ChatGPT?

Q:How many models can I compare at once?

Q:Do I need API keys for any of the models?

Q:How much does a single comparison cost?

Q:Can I save a conversation across sessions?

What is LLM Arena?

Real prompts. Real models.The work you actually do.

Settle the GPT-vs-Claude debate in 8 seconds

Settle the GPT-vs-Claude debate in 8 seconds

Three steps. About a minute.

Pick your models

Type one prompt

Watch them stream

A fair comparison with the obvious alternatives.

A taste of the lineup.

Every flagship in one place.Filter by what you actually do.

Real questions, honest answers.

Ask 10 AIs the same question.
Steal the best answer.