INTEGRATED
COGNITION.

THE FRONTIER MODEL FIELD GUIDE

Choose your AI.
Keep your judgment.

The names change. The important questions endure: what is this model good at, where does it fall short, and does it fit your work?

Six imagined professional personas around a table: GPT connects ideas, Claude writes, Gemini studies an image, Grok questions, DeepSeek analyzes, and Qwen builds.
Six models. Different ways of thinking.Imagined personalities · AI-generated illustration

FIRST, A LITTLE CLARITY

The model is only
part of the experience.

“Frontier” describes models near the leading edge of broad AI capability. It is not a certification of accuracy, confidentiality, or suitability for legal work.

A model generates and reasons over information. The application around it supplies files, search, permissions, and the interface you use. A good result depends on both—and on how you review it.

Your brief and sources enter an application containing an AI model, tools, and permissions. A draft then passes through human review before a decision.
A practical workflow: brief → tools and model → review → decision.

SIX FAMILIES TO KNOW

Meet the models.

Each profile explains the current offering, its strengths, its tradeoffs, and a practical trial you can run.

Context window
The material a model can work with in one request. It is measured in tokens—small units used to represent text and other inputs. A bigger window does not guarantee better recall.
Reasoning effort
A setting that lets supported models spend more processing on a problem. More effort can increase time and cost; it does not certify the answer.
API pricing
Usage charges for software calling a model. Input is what you send; output is what it generates. These are separate from a monthly chat subscription and may include additional tool charges.

START WITH YOUR WORK

What do you want to do?

An editorial shortlist to help you start a comparison. Your own results should decide.

Start with the source documents.

Compare Claude Opus 5 and GPT on the same fictional agreement or business memo. Escalate to Fable or Astra for more demanding work. Judge factual support, omitted qualifications, and revision time—not simply which answer sounds more polished.

A useful testAsk both models to separate direct evidence, inference, and missing information.

THE PRACTICAL DIFFERENCES

At a glance.

These describe the profiled offerings. Capabilities and prices can differ across apps, APIs, and hosting providers.

Model access, input or workflow focus, and cost considerations
Model familyInput / workflow focusDeploymentCost consideration
GPTGPT-6 AstraResearch, documents, and tool workflowsHosted modelPremium API rates; compare total task costOpenAI · Astra launch and evaluations
ClaudeFable 5.1 · Opus 5Text and visual document analysisHosted modelOpus baseline; Fable for demanding workAnthropic · Fable 5.1 technical guide
GeminiGemini 3.8 FlashText · image · audio · video · PDFHosted modelIntroductory pricing ends December 2026Google · API pricing
GrokGrok 4.6Text · image; X Search via a toolHosted modelHigher rates above 200k prompt tokensxAI · Release notes
DeepSeekV4 Pro · V4 FlashText; separate experimental vision variantHosted API + downloadable weightsPeak/off-peak pricing; Flash and Pro tiersDeepSeek · Current models and pricing
QwenQwen3.8-MaxHosted: text · image · videoHosted multimodal + open text modelHosting choice changes the cost equationQwen · Hosted Max capabilities

A BETTER WAY TO COMPARE

Give two models the same real test.

Use public, fictional, or properly approved material. Define what a good answer must contain before you read either result.

  1. 01

    Hold the brief constant.

    Use the same facts, instructions, format, and tools. Record the exact model, date, and reasoning setting.

  2. 02

    Check support and omissions.

    Verify claims, citations, calculations, and missing qualifications. Include a question the supplied facts cannot answer.

  3. 03

    Measure the work left.

    Track correction time, cost, speed, and consistency over several examples. Choose the result you can trust after review.

A STARTER BRIEF TO ADAPT

Using only the supplied material, prepare a one-page briefing. Separate supported facts, reasonable inferences, and unanswered questions. Cite the passage or page behind each important claim. Do not fill gaps with invented facts. End with the checks a human should make before relying on the result.
This improves the brief; it does not guarantee compliance or correctness.

HOW TO READ THIS GUIDE

Evidence first. Judgment always.

What we researched

Official model documentation, release notes, model cards, pricing, and data terms. This edition covers six selected general-purpose model families relevant to professional work. It is not an exhaustive catalog or a claim that every model is at the same capability level.

Specialist legal products, image generators, and other families deserve their own evaluations. A provider’s advertised capability is identified as such; the suggested trials and shortlists are our editorial interpretation.

What we did not test

We have not run a controlled head-to-head evaluation of these releases. This guide does not assign numerical quality scores or declare a universal winner. A large context window measures capacity, not perfect recall.

Benchmark outcomes depend on model version, reasoning settings, tools, task selection, and judging. Artificial Analysis also changes and versions its index. Compare like-for-like results, then test your own work.

Artificial Analysis · Benchmark methodologyArtificial Analysis · Index versioning

FOR PROFESSIONAL WORK

Keep the final judgment human.

For attorneys, check legal authorities in the original source and confirm jurisdiction and current validity. Review the tool’s data handling before entering client information. ABA Formal Opinion 512 addresses competence, confidentiality, communication, supervision, and other duties; your jurisdiction’s rules and court requirements also matter.

ABA · Formal Opinion 512

For business owners, the same working discipline is useful: verify numbers and claims, protect customer information, and approve commitments before they leave the company. A stronger model is one part of a better process.

Put your judgment to the test →