Best AI Models 2026 Compared: GPT-5.5, Claude Opus 4.8, Gemini 3, DeepSeek V4

Short answer (June 2026): There is no one “best” AI for everything. The leaders split by job.

GPT-5.5 is the go-to for coding agents, terminal work, and office tasks inside OpenAI’s world. Claude Opus 4.8 is the upgrade for careful writing and teams that already trust Anthropic. Gemini 3.x fits best when your files and email already live in Google. DeepSeek V4 is the low-cost, open-weight lane for experiments and big context. Mistral matters for EU-friendly hosting and fast API swaps.

Use the table below. Then jump to the section that matches your job.

Last updated: June 2, 2026. This URL is a living hub, not a one-time list.

Living comparison table

How to read benchmark talk elsewhere: Vendors love percentage scores on named tests. Here is what a few of them mean in plain English.

• Terminal-Bench: Can the model run real command-line tasks step by step?
• SWE-Bench: Can it fix real bugs in open-source GitHub projects?
• GDPval: How well does it do mixed office-style knowledge work?
• BrowseComp: How well does it research the web and cite what it found?

A higher score usually means the model finished more of the test. Treat numbers as a hint, not a single IQ score. Always test on your own work.

How we score this page

AI Tools Radar is not a lab that reruns every vendor leaderboard. We read release posts, system cards, and pricing pages. Then we translate them into language for people who pick a model and a tool.

What we include

• Frontier models that power tools in our three lanes: agents, creators or slides, builders.
• Plain explainers for benchmark names only when the vendor published them for that model.
• Links to deeper AI Tools Radar reviews and weekly radar posts so you can choose tool plus model in one visit.

What we skip

• Giant model lists with no task mapping.
• Calling one model “best” without naming the job.
• Full video-model shootouts (those live in radar posts).

When we refresh: Big releases (GPT-5.5 in April 2026, Claude Opus 4.8 in May 2026, DeepSeek V4 in April 2026) or rising search interest on latest ai models 2026.

GPT-5.5 (OpenAI)

What it is in plain English: GPT-5.5 is OpenAI’s newest general-purpose brain, tuned for work that spans many steps. It is meant to read messy instructions, make a plan, use tools (terminal, browser, spreadsheets), check its own output, and keep going. Think “digital coworker,” not “chat box that answers one question.”

OpenAI announced it on April 23, 2026. API access followed on April 24.

Scores vendors cite (April 2026): OpenAI says GPT-5.5 beats its prior version on coding and desktop tasks. Examples from their post:

• Terminal-Bench 2.0 at 82.7%: Better at multi-step terminal work than GPT-5.4 (75.1%). Plain meaning: it follows shell workflows more often.
• SWE-Bench Pro at 58.6%: Fixes more real GitHub issues. Plain meaning: stronger repo repair.
• GDPval at 84.9% wins or ties: Holds up on mixed professional tasks. Plain meaning: decent across job types, not just code.
• OSWorld-Verified at 78.7%: Operates a simulated desktop more reliably. Plain meaning: UI clicking and app control improved.
• BrowseComp at 84.4% (90.1% on GPT-5.5 Pro): Web research with citations. Plain meaning: better for deep lookup tasks.

OpenAI also prints side-by-side rows vs Claude Opus 4.7 and Gemini 3.1 Pro. Use those for trend direction. They are not our independent retest.

What that means day to day: If you want one model to run terminals, patch repos, build slides or sheets, and drive UIs, GPT-5.5 is aimed at you. OpenAI claims GPT-5.4-class speed with fewer tokens on Codex jobs. That matters when you pay per million tokens.

Where you feel it

• ChatGPT (Plus and up): Harder “thinking” style answers for professional work.
• Codex: Build, refactor, debug, and validate code in a loop.
• API: Partners ship gpt-5.5 and gpt-5.5-pro with safety rules at scale.

Choose GPT-5.5 when you already standardize on OpenAI. Your team lives in Codex or Cursor with OpenAI backends. You need computer use plus office files in one loop.

Pause or pair when legal needs another vendor. You only need cheap translation at scale. You want Anthropic-style pushback on bad plans. Many teams run GPT-5.5 for code and Claude for prose.

Safety note: OpenAI rates cyber and bio risk for this generation. Stricter cyber filters may refuse some security prompts. Defenders can apply for Trusted Access for Cyber if refusals block legit hardening work.

Claude Opus 4.8 (Anthropic)

What it is in plain English: Claude Opus 4.8 is Anthropic’s top-tier model for careful language work and long agent sessions. It is built to write well, reason through documents, use a browser when needed, and flag its own mistakes instead of glossing over them.

Anthropic released it on May 28, 2026. API list price matches Opus 4.7: $5 per million input tokens, $25 per million output tokens. A faster tier runs $10 / $50 per million. The pitch is trust and throughput, not a price war.

Scores and claims (vendor-reported): Anthropic’s system card cites gains on coding, agents, reasoning, and knowledge work. Third-party quotes in the launch mention Online-Mind2Web at 84% (plain meaning: better at browsing and acting on web pages) and legal-agent benchmarks. On Terminal-Bench 2.1, Anthropic notes GPT-5.5 at 83.4% with Codex CLI vs its own harness. Harness choice moves scores. Compare models with the same test setup when you can.

Behavior users notice

• Honesty: Opus 4.8 is far less likely to ignore known code flaws (vendor evals cite roughly 4x improvement vs Opus 4.7 on that failure mode).
• Effort control: Turn effort up or down in Claude.ai and Cowork. More depth costs speed and rate limits.
• Dynamic workflows (Claude Code): Research preview for large migrations with parallel subagents. Aimed at repo-scale changes with tests as the bar.
• Fast mode: 2.5x speed at the fast price tier, now cheaper vs prior Opus fast modes.

Choose Claude Opus 4.8 when long reports, legal or finance docs, customer-facing writing, or agents that must push back on weak instructions matter. Teams on Claude Code, Cursor, Devin, or Cowork often upgrade here first.

Pair Claude with tools, not instead of them: Claude does not replace SlideAI, Gamma, or Dokie for deck layout. It supplies words and structure. Presentation tools supply pixels. See our SlideAI review for that split.

Skip as your only frontier pick when you are all-in on Google Workspace intelligence. You need OpenAI-specific Codex features your IDE assumes.

Gemini 3.x (Google)

What it is in plain English: Gemini 3 is Google’s main AI family for consumers and cloud. It is strong where Google already owns your data: Gmail, Docs, Drive, Search, and Vertex AI. It also handles images, video, and long PDFs well in many plans.

The Gemini 3 generation started rolling out in November 2025. By June 2026, many tables (including OpenAI’s April comparisons) cite Gemini 3.1 Pro as the peer model. Google ships updates inside the 3.x line faster than the major version number changes.

Scores from Google DeepMind (Gemini 3 launch materials):

• LMArena Elo 1501: Crowd-ranked chat quality in vendor reporting. Plain meaning: users preferred it in blind tests on that leaderboard.
• Humanity’s Last Exam 37.5% (no tools): Hard multi-subject exam. Plain meaning: strong broad knowledge, still not perfect.
• GPQA Diamond 91.9%: Graduate-level science Q&A. Plain meaning: very strong on technical Q&A.
• MMMU-Pro 81% / Video-MMMU 87.6%: Image and video understanding tests. Plain meaning: good at reading visuals, not the same as generating Hollywood video.
• SWE-bench Verified 76.2% / Terminal-Bench 2.0 54.2%: Coding and terminal scores in Google’s developer post. Plain meaning: solid coder, not always the terminal leader vs OpenAI.
• WebDev Arena: Google claims leadership for “vibe coding” UIs. Plain meaning: competitive for quick web app prototypes.

Gemini 3 Deep Think is a higher-reasoning mode for Ultra subscribers after safety review. Vendor cards show stronger puzzle-style scores (e.g. ARC-AGI-2 style tasks).

Where Gemini wins in practice

• Workspace: Summarize and draft inside Gmail, Docs, Drive.
• Search AI Mode: Generative layouts tied to queries.
• Vertex AI / Gemini Enterprise: Teams already on Google Cloud.
• Antigravity: Google’s agentic IDE paired with Gemini 3 Pro and computer-use models.

Choose Gemini when your identity, files, and billing already sit in Google. Multimodal tutoring (video, handwritten notes, long PDFs) is core to your product.

Caveats: Admin consoles show different SKUs by domain. “Gemini 3” in marketing may not match the exact API model string. Hybrid companies often use Gemini internally and GPT-5.5 or Claude in engineering tools.

June 2026 note: Google I/O coverage points to more 3.5 / Omni variants. When those ship broadly, we add rows instead of silently rewriting history. See the June Week 1 radar for tool launches that sit on Gemini.

DeepSeek V4

What it is in plain English: DeepSeek V4 is a Chinese lab’s newest open-weight family built for long context and coding agents at low API cost. You can run big prompts (up to about one million tokens on official services) without paying US frontier list prices for every call.

The V4 preview landed in April 2026 with two public faces:

• DeepSeek-V4-Pro: Large sparse model (~1.6T total parameters, ~49B active per token). Aimed at frontier-quality coding and reasoning.
• DeepSeek-V4-Flash: Smaller (~284B total, ~13B active). Aimed at fast, cheap drafts.

Both advertise one-million-token context by default on DeepSeek services. The tech story is sparse attention and token compression to cut long-context bills.

Vendor claims: DeepSeek cites open-source SOTA on agentic coding benchmarks in its tech report. It ranks its world knowledge below Gemini-3.1-Pro but above many open models in its own charts. V4-Flash is the economical workhorse. V4-Pro chases closed frontier quality at lower API price than many US hyperscaler list rates on routers.

API mechanics

• Model IDs: deepseek-v4-pro, deepseek-v4-flash.
• Modes: thinking and non-thinking (see DeepSeek API guides).
• Legacy routes deepseek-chat and deepseek-reasoner retire July 24, 2026, 15:59 UTC per DeepSeek API pricing. Migrate before production agents break.

Choose DeepSeek V4 when

• Cost per million tokens drives margin (startups, high-volume codegen, batch review).
• You want open weights on Hugging Face for on-prem or research repeats.
• You need 1M context for log forensics, repo-wide Q&A, or document stacks.

Risk management: Regulated industries should run vendor review, data residency checks, and side-by-side evals on your code and your customer data policies. DeepSeek is not a drop-in compliance decision.

Router tip: OpenRouter and Together list V4-Pro if you want one SDK. Match temperature and thinking flags to your prior DeepSeek V3 recipes.

Mistral (frontier line)

What it is in plain English: Mistral is a European AI company that ships fast, developer-friendly models. Some weights are open. Some are proprietary. The brand is popular when you need EU-friendly hosting, quick API swaps, or a cheaper draft model before you send work to GPT-5.5 or Claude.

Naming moves quickly: Large, Medium, Codestral, Devstral, and partner variants. On this hub, Mistral frontier means the newest Large or Codestral generation your API dashboard shows in June 2026, not every old checkpoint.

Why Mistral stays on a “latest models” page

• Data residency: EU customers often need inference in European regions. Mistral markets to that need.
• Router ecosystem: OpenRouter, Groq, and Together add Mistral IDs early. They are the swap-in when GPT-5.5 or Claude rate-limit.
• Specialized coders: Codestral-branded models stay popular for IDE autocomplete and small agent steps where full Opus or GPT-5.5 is overkill.

Practical selection rules

1. Pin the exact model string in .env (IDs like mistral-large-2411 change with releases).
2. Use Mistral for draft passes. Use a US frontier model for final checks if quality drifts.
3. Read Mistral safety and capability cards when you enable agent tools. Smaller models hallucinate tool arguments more often.

Choose Mistral when you build in the EU, you want vendor diversity without training your own weights, or your OpenRouter bill spikes on GPT-5.5 and you need to flatten cost.

Skip Mistral as your only frontier when you need the computer-use scores OpenAI and Anthropic optimize for in Codex and Claude Code.

Which model for which job?

OpenRouter and API routing (June 2026)

Most teams never touch a foundation model directly. They use an app (ChatGPT, Claude, Cursor, Manus) or a router that forwards requests.

OpenRouter (and peers like Together, Groq, Fireworks) expose many model IDs behind one OpenAI-style API. A typical 2026 pattern:

1. Classify the request: draft vs final, public vs confidential, live vs overnight batch.
2. Route drafts to deepseek-v4-flash or a mid-tier Mistral model.
3. Route finals to gpt-5.5, claude-opus-4-8, or gemini-3.1-pro based on what you fear most (code bugs vs tone drift vs Google-only tools).
4. Log model ID per task so you can audit cost when vendors rename defaults.

Failure modes we see

• Apps silently upgrade defaults (GPT-5.4 to GPT-5.5) and spend jumps without quality gain on simple prompts.
• Routers cache old IDs after June 2026 DeepSeek retirements.
• Agents like Manus hide the backend. Read release notes and agent settings.

We are finishing a dedicated OpenRouter free models guide on the June calendar (see June Week 1 radar). Until then, use this hub as the capability map and the radar for tool verdicts.

Best free and low-cost AI models in 2026

Not everyone needs a $20-per-month subscription. Here is how to get strong output for less.

Free tiers that work

• ChatGPT Free runs GPT-5.5-class models with rate limits. Good for occasional drafting and light coding questions.
• Claude Free gives access to Sonnet-class models. Better for long documents than ChatGPT Free in our tests.
• Gemini Free includes the 3.x family inside Google apps. Often the default for Workspace users.
• DeepSeek V4-Flash API pricing is among the lowest for coding. Free chat modes exist on DeepSeek services.
• Mistral and Llama open weights run locally or on cheap routers if you have GPU access or use a free tier on Groq.

When to pay

• Coding agents need GPT-5.5 Pro, Claude Opus, or DeepSeek V4-Pro for reliable multi-step work.
• Long-context jobs over 100K tokens usually need a paid tier or API key.
• Enterprise features like SSO, audit logs, and data opt-outs are paywalled on every vendor.

Cost rule of thumb: Start free. Move to paid only when you hit a rate limit or accuracy wall on your actual task. Do not pre-buy a frontier tier for simple Q&A.

Video and multimodal models (June 2026 note)

Text frontier models are not the same as video generators (Kling, Veo-class tools, Grok Imagine, runway-style UGC apps). Scores like Video-MMMU show Gemini’s strength in understanding video, not always generating film-grade clips.

AI Tools Radar policy: We track video tools in weekly radar posts rather than full generative-video leaderboards here. For head-to-head picks, read Kling AI 3.0 vs Grok vs Veo (2026). If you need both, pair Gemini or GPT-5.5 for script and storyboard with a creator-lane tool for renders.

Multimodal tip: When a vendor cites image or video scores, check whether your plan includes that modality in the API or only in the consumer app. Many enterprises have text-only contracts.

How to refresh your stack in 30 minutes

1. List five recurring tasks (code, slides, email triage, support macros, research briefs).
2. Write the app each task uses today (not the model you assume).
3. Open vendor release notes for April through June 2026 for that app’s default model.
4. Run one A/B prompt per task with the new model name (same rubric: correctness, tone, tools used, time).
5. Check cost dashboards for token volume. GPT-5.5 claims efficiency, but agent loops can still explode usage.
6. Update internal docs with pinned model IDs for routers and CI bots.
7. Rollback if latency, refusals, or spend rise without quality gains on your rubric.

Content gaps and internal links

Many articles list models without naming tools you actually click. AI Tools Radar closes that gap:

• Agents: Manus AI Review (2026) explains async deliverables. For agent mode shootouts, see Manus AI vs ChatGPT Agent vs Claude (2026). Pair with GPT-5.5 or Claude depending on backend.
• Slides: SlideAI Review (2026) for deck output. Models supply words. SlideAI supplies layout.
• Weekly launches: New AI Tools 2026 (June Week 1) for what shipped on top of these models.
• August refresh: Latest AI Models Compared — August benchmarks for Q2 routing notes.
• Coding compare: DeepSeek V4 vs ChatGPT vs Claude for Coding (2026).
• Routing: OpenRouter Free Models (2026).
• Excel workflows: GPT-5.5 for Excel (2026).
• Freelance stacks: Make Money with AI Tools (2026).

If you want a specific model row expanded, search latest ai models 2026 plus the vendor name on our site after publish.

Changelog

• 2026-06-02: Fact-check refresh. Confirmed release dates and headline benchmarks from OpenAI GPT-5.5, Anthropic Opus 4.8, and DeepSeek V4 preview. Pinned DeepSeek legacy API sunset to Jul 24, 2026, 15:59 UTC.
• 2026-06-02: Full rewrite for plain English. Added GPT-5.5 (April 2026 OpenAI), Claude Opus 4.8 (May 2026 Anthropic), DeepSeek V4 (April 2026), Mistral frontier notes, OpenRouter section, job table, 30-minute refresh, eight FAQs.
• 2026-05-27: Initial hub scaffold with short comparison table.