I exploit LLMs nearly each day in my work as a marketer. Generally it’s to interrupt via a clean web page, typically to refine a draft that’s 80% full, and different instances to sanity-check an concept earlier than it goes any additional.
While you’re utilizing these instruments that usually, you cease caring about large guarantees and begin noticing the small issues, like how constant the output feels, how a lot context the mannequin can deal with, and whether or not it truly saves time or simply creates extra cleanup.
That’s what pushed me to compile this listing of the greatest LLM platforms on G2 for various use instances. On the floor, most LLMs can do the identical primary duties. However as soon as they’re a part of your workflow, that’s when the variations present up. Some are simpler to depend on for on a regular basis writing and considering. Others are higher if you’re experimenting, working with longer inputs, or attempting to know how a lot management you actually have over the output.
I used G2 assessment knowledge to look at how these platforms are getting used, what customers constantly reward, and the trade-offs. With that context, listed below are my high picks, together with their most dependable use instances.
5 greatest LLM platforms on G2: My favorites
| Finest LLM platforms | Finest for | G2 Ranking | Pricing |
| ChatGPT | Normal-purpose AI use throughout writing, ideation, and on a regular basis duties | 4.6/5 ⭐ | Beginning at $20/month |
| Gemini | AI help inside present productiveness workflows | 4.4/5 ⭐ | Beginning at $19.99/person/month |
| Claude | Lengthy-form textual content era and content material refinement | 4.4/5 ⭐ | Beginning at $20/person/month |
| Llama | Open-model experimentation and customization | 4.3/5 ⭐ | Free (license); infrastructure/internet hosting prices range |
| DeepSeek | Light-weight experimentation and early adoption use instances | 4.8/5 ⭐ | Utilization-based API |
*These are the main LLM platforms on G2 as of December 2025. Pricing is topic to alter.
How did I choose one of the best LLMs for this listing?
Once I select one of the best instruments for every use case, I begin with G2 Knowledge. I take a look at a product’s class efficiency, together with its G2 Rating, satisfaction scores, and feature-level strengths. This helps me perceive which instruments constantly carry out nicely earlier than I slim them all the way down to extra particular situations, like small groups, nonprofits, or industry-focused workflows.
From there, I delve into assessment insights to see what actual customers must say. I search for patterns in ache factors, ceaselessly praised options, and suggestions from folks in the identical roles or industries that the use case targets. The suggestions you see replicate that blend of quantitative scoring and qualitative sentiment, targeted on the instruments that repeatedly present up because the strongest match for that particular want.
Which is one of the best LLM platform for analyzing and producing advertising and marketing content material at scale?
My high decide: ChatGPT
Advertising at scale places strain on consistency greater than creativity. The problem isn’t producing one sturdy draft. It’s producing usable content material repeatedly throughout codecs with out rewriting the whole lot from scratch every time. For this use case, I’m prioritizing breadth of software and reliability throughout on a regular basis advertising and marketing duties.
ChatGPT stands out right here as a result of it’s the LLM that G2 reviewers most constantly depend on for marketing-related work. G2 customers reward it for writing content material, producing concepts, drafting emails, and supporting day-to-day advertising and marketing duties. What makes that worthwhile at scale is vary. As an alternative of being tied to at least one slim job, ChatGPT seems throughout the whole content material lifecycle. Reviewers body it as a device they use repeatedly. They describe ChatGPT as one thing they return to commonly for advertising and marketing execution, which is essential when content material quantity is excessive, and workflows want to stay versatile.
ChatGPT professionals and cons
| Execs | Cons |
| Advertising content material creation reveals up as a repeat theme in G2 opinions, particularly for drafting and refining copy. | Some customers say outputs nonetheless want a human modifying go to match model voice and publishing requirements. |
| Many G2 customers depend on it for concept era and fast analysis help when constructing outlines, campaigns, or messaging angles. | Outcomes can range when prompts are obscure, and reviewers point out needing to supply clearer course to get constant high quality. |
| Usability and setup expertise are ceaselessly described as easy, which helps repeat, day-to-day advertising and marketing workflows. | Some reviewers deal with it as a helper moderately than an autopilot, since accuracy and nuance might have verification relying on the subject. |
Which is one of the best massive language mannequin platform for enterprise-grade doc summarization?
My high decide: Gemini
Once I’m selecting an LLM for enterprise-grade doc summarization, I’m not searching for intelligent writing. I’m searching for velocity, construction, and reliability. The job is easy to explain and exhausting to execute constantly: take lengthy studies, inside docs, or dense notes and switch them into summaries that somebody can scan, belief, and share with out asking, “What did we miss?”
Gemini is my high decide for this use case as a result of its expertise aligns with document-first work. In G2 assessment knowledge, customers ceaselessly point out utilizing Gemini to summarize lengthy textual content, extract highlights, and condense present supplies. That orientation issues in enterprise environments, the place work sometimes begins with studies, notes, or documentation moderately than a clean immediate. Reviewers additionally body Gemini as a device that helps make info extra digestible, making it a very good match for groups that want summaries to help decision-making or inside communication.
Gemini professionals and cons
| Execs | Cons |
| Summarization is a constant power, notably when the objective is to extract key takeaways from prolonged or complicated textual content. | Some customers nonetheless want a fast assessment go to make sure summaries seize the suitable nuances or priorities. |
| Extracting highlights and organizing info right into a extra scannable format matches nicely with report and documentation workflows. | Outcomes can range relying on the construction of the enter and the readability of the specified format specification. |
| The general expertise feels simple to undertake and repeat, which issues when summaries are a weekly (or day by day) job. | It’s much less oriented towards artistic rewriting than instruments that skew extra towards content material era. |
My crew in contrast Gemini with ChatGPT towards 10+ real-world use instances. Take a look at which LLM matches your want greatest within the full breakdown of Gemini vs. ChatGPT.
Which is one of the best massive language mannequin for long-context reasoning and evaluation?
My high decide: Claude
The quickest approach I lose belief in an LLM is watching it drop the thread midway via a protracted immediate. Lengthy-context reasoning solely works if the mannequin can keep coherent throughout a number of concepts, protect nuance, and hold its logic intact from begin to end. If it contradicts itself, skips key particulars, or begins answering a distinct query than the one I requested, the output stops being evaluation and turns into rework.
Claude is my high decide for this as a result of the G2 reviewer expertise constantly displays that “stays with the issue” habits. In G2 opinions, Claude is usually described as a device folks use for sustained reasoning, longer inputs, and structured analytical responses. That makes it a very good match for deep evaluation workflows the place continuity issues greater than velocity. Whereas it’s not the strongest general-purpose choice, it’s the one I’d attain for when the duty calls for staying constant throughout lengthy prompts and multi-step reasoning.
Clause professionals and cons
| Execs | Cons |
| Lengthy-form reasoning and evaluation present up as a constant theme in G2 opinions, particularly for complicated or layered questions. | Some customers describe it as much less superb for fast, high-volume drafting in comparison with extra general-purpose instruments. |
| Many reviewers describe it as sturdy at sustaining context throughout longer conversations or longer inputs. | If the objective is velocity over depth, the expertise can really feel slower or extra deliberate than anticipated. |
| The output fashion is usually described as structured and considerate, which helps analytical workflows. | Evaluation themes counsel it’s much less generally used for brief, transactional duties the place a quick reply is sufficient. |
We put Claude and ChatGPT facet by facet utilizing sensible use instances. Uncover which mannequin emerges because the winner in our complete ChatGPT vs. Claude comparability.
Which is one of the best LLM software program for deploying domestically on customized {hardware}?
My high decide: Llama
Native deployment is the place the “LLM expertise” stops being a chat field and begins being an engineering alternative. If a mannequin goes to reside on customized {hardware}, I care much less about polish and extra about management. I need one thing I can form, place the place I want it, and adapt with out preventing a locked-down setup.
Llama is my high decide for this use case as a result of it’s the device on this listing that G2 reviewers most constantly join with, providing self-managed and customizable setups. Evaluation sentiment leans into flexibility, experimentation, and hands-on management, which is strictly the mindset groups have once they’re deploying domestically.
Llama professionals and cons
| Execs | Cons |
| Management and suppleness are the headlines in constructive opinions, particularly for groups that need to run fashions domestically or customise their atmosphere. | I see extra indicators of hands-on setup and configuration in comparison with hosted LLM platforms. |
| G2 reviewers usually body it as a powerful choice for experimenting, tuning, and adapting the mannequin to completely different constraints. | It’s much less of a “begin in 5 minutes” expertise, so it may really feel heavier for smaller groups. |
| The general tone of suggestions alerts possession: customers speak about shaping the way it’s used, not simply consuming it. | With fewer opinions, there’s much less breadth on the way it performs throughout each manufacturing situation. |
My crew evaluated Llama towards ChatGPT for hands-on, real-world situations. Discover out which method works higher within the full ChatGPT vs. Llama breakdown.
Which is one of the best massive language mannequin device for automated code era and assessment?
My high decide: DeepSeek
Code is likely one of the quickest methods to find out whether or not an LLM is definitely helpful or simply assured. For automated code era and assessment, I need a device that reviewers clearly affiliate with technical duties, not one thing positioned as a normal assistant that occurs to write down code typically.
DeepSeek earns the highest spot right here as a result of its assessment language is tightly targeted on coding and technical use instances. Even with a small assessment pattern, it’s clear that customers want it for writing code, reviewing logic, and dealing with developer-oriented prompts. That focus is unusually clear in comparison with different instruments, the place coding is usually simply one in every of many talked about duties. What stands out is how reviewers speak about intent. DeepSeek seems as a device folks particularly attain for for code-related work, moderately than a catch-all productiveness assistant.
DeepSeek professionals and cons
| Execs | Cons |
| Coding and technical problem-solving are essentially the most constant themes in constructive opinions. | Customers dislike that picture and video era options are nonetheless not accessible. |
| Reviewers describe utilizing it particularly for writing or reviewing code, not normal content material duties. | The power to filter responses and the size of chat might be inadequate for energy customers. |
| The device is framed as targeted and task-specific moderately than broadly generic. | There’s much less perception into the way it performs past narrowly outlined technical workflows. |
We in contrast DeepSeek with ChatGPT utilizing developer-focused duties. Take a look at which device matches your workflow within the full ChatGPT vs. DeepSeek breakdown.
FAQs: Which LLM platform is greatest?
Nonetheless trying to find your use case? Discover your match beneath.
Which LLM options work greatest for real-time multilingual buyer help?
For multilingual help, I search for instruments folks depend on for translation and quick, conversational responses. Primarily based on G2 assessment themes, Gemini and ChatGPT present up most frequently for drafting and responding in a number of languages.
Which massive language mannequin instruments are greatest for monetary sentiment evaluation and pattern recognizing?
This use case seems extra selective and is often tied to analyzing written info moderately than reside knowledge. ChatGPT is the most typical slot in opinions for summarizing sentiment and recognizing patterns in text-heavy inputs.
Which free or open-source massive language fashions are greatest for prototyping?
When prototyping, flexibility issues greater than polish. Evaluation themes most frequently level to Llama for experimentation, customization, and early-stage testing.
Which LLM platforms work greatest for inside HR automation and customized onboarding?
HR-focused use instances are inclined to middle on drafting and summarizing inside supplies. Critiques most ceaselessly affiliate ChatGPT with creating onboarding content material and supporting inside documentation workflows.
Which LLM platforms are greatest for instructing and tutoring in a number of languages?
Tutoring use instances often emphasize clarification and language flexibility. Primarily based on assessment language, Gemini and ChatGPT come up most frequently for studying help throughout a number of languages.
No prompts left behind
LLMs work greatest once they’re matched to a selected job, moderately than being handled as one-size-fits-all instruments. The distinction often turns into obvious after a number of days of precise use: how nicely the mannequin retains context, how a lot cleanup the output requires, and whether or not it truly speeds issues up.
Should you’re narrowing your choices, decide one main use case from this listing and begin there. Take a look at the device towards the type of work you do most frequently, then increase provided that it earns a everlasting spot in your workflow. The best LLM shouldn’t simply reply prompts. It ought to pull its weight.
For constructing a broader AI workflow (writing, coding, design, video), see our full breakdown of the greatest generative AI instruments.
