# ChatGPT vs Claude vs Gemini: Models, Pricing, Coding Tools

> A comparison of GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro using vendor-published benchmarks, context limits and pricing. Plan and API prices are dated September 2026.

ChatGPT, Claude, and Gemini are the three most prominent general-purpose AI assistants. This comparison covers the flagship models each vendor shipped in February and March 2026: OpenAI's GPT-5.4 (built-in computer use and a 1.05M-token API context window), Anthropic's Claude Opus 4.6 (80.8% on SWE-bench Verified), and Google's Gemini 3.1 Pro (94.3% on GPQA Diamond, per [Google DeepMind's model card](https://deepmind.google/models/model-cards/gemini-3-1-pro/)).

**Last updated: September 2026.** Benchmark figures apply only to the model versions named. As of September 2026, newer models have shipped, including OpenAI's [GPT-5.5](https://deploymentsafety.openai.com/gpt-5-5) (April 2026) and Anthropic's [Claude Opus 5.5](https://www.anthropic.com/news/claude-opus-5-5) (September 22, 2026), while Gemini 3.1 Pro remains Google's current Pro model. Prices below are dated separately.

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## What is the best AI for each specific use case?

**Claude Opus 4.6 posted 80.8% on SWE-bench Verified and ships with the Claude Code CLI. Gemini 3.1 Pro offers a 1M-token context window and scored 94.3% on GPQA Diamond. GPT-5.4 added built-in computer use for agentic workflows.**

| Use Case | Strong option | Why |
| --- | --- | --- |
| Coding & Development | Claude (Opus 4.6 + Claude Code) | 80.8% SWE-bench Verified, Claude Code CLI for terminal workflows |
| Research & Analysis | Gemini 3.1 Pro | 1M context, 94.3% GPQA Diamond, deep Google integration |
| Creative Writing | Claude Opus 4.6 | Long 128K output limit for long documents |
| Agentic Workflows | ChatGPT (GPT-5.4) | Built-in computer use, multi-step task automation |
| Best Value | Gemini | Free tier with Gemini Flash and some 3.1 Pro access, $19.99/mo AI Pro plan (as of September 2026) |
| Enterprise/Teams | ChatGPT | Mature ecosystem, Business and Enterprise plans, Codex for async dev work |

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## What were the major AI model updates in early 2026?

**GPT-5.4 launched March 5, 2026 with built-in computer use and a 1.05M-token API context window. Claude Opus 4.6 launched February 5, 2026. Gemini 3.1 Pro was released in preview on February 19, 2026.**

### ChatGPT: GPT-5.4 Adds Computer Use

GPT-5.4 introduced built-in computer use capabilities. The model interprets screenshots, operates browsers, and issues keyboard commands to complete tasks across applications.

Key specifications, per [OpenAI's API documentation](https://developers.openai.com/api/docs/models/gpt-5.4):

-   **1.05M token context window** (API)
-   **128K max output tokens**
-   **Long-context pricing** — prompts over 272K input tokens are billed at 2x input and 1.5x output
-   **Computer use built-in** — native screen interaction for agentic tasks

GPT-5.4 is available on paid ChatGPT plans, not the free tier. GPT-5.4 Pro is a separate, higher-cost variant.

### Claude: Opus 4.6 Leads SWE-bench Verified

Claude Opus 4.6 was released February 5, 2026. On Google DeepMind's published comparison table, it posted the highest SWE-bench Verified score of the models listed (80.8%).

Opus 4.6 specifications, per [Anthropic's announcement](https://www.anthropic.com/news/claude-opus-4-6):

-   **80.8% on SWE-bench Verified** (as reported in Google DeepMind's Gemini 3.1 Pro comparison table)
-   **200K context window** (1M in beta on the Claude Developer Platform) with 128K max output tokens
-   **Adaptive thinking** — Claude decides how much extended thinking a task needs
-   **Compaction** — the API can summarize older context for longer-running tasks
-   **Agent teams in Claude Code** — multiple agents can work on a task together

Claude Sonnet 4.6 scored 79.6% on SWE-bench Verified in the same table and costs $3/$15 per million tokens versus Opus 4.6's $5/$25. Anthropic reports that users [preferred Sonnet 4.6 over Opus 4.5 59% of the time](https://www.anthropic.com/news/claude-sonnet-4-6) in Claude Code.

### Gemini: 3.1 Pro Tops Reasoning Benchmarks

Gemini 3.1 Pro was released in preview on February 19, 2026. Google DeepMind's model card reports:

-   **94.3% on GPQA Diamond** — the highest score in Google's comparison table
-   **80.6% on SWE-bench Verified** — 0.2 points behind Claude Opus 4.6
-   **77.1% on ARC-AGI-2** — more than double Gemini 3 Pro's 31.1%
-   **1M token context window** with up to 64K output tokens
-   **Multimodal input** — text, images, audio, video, and PDFs in a single prompt

The 1M-token window lets users load long technical specifications or large codebases in one prompt without chunking.

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## How do GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro compare directly?

**Claude Opus 4.6 leads SWE-bench Verified by a narrow margin. Gemini 3.1 Pro posts the highest GPQA Diamond and ARC-AGI-2 scores in Google's table. GPT-5.4 has the largest API context window and built-in computer use.**

| Feature | ChatGPT (GPT-5.4) | Claude (Opus 4.6) | Gemini (3.1 Pro) |
| --- | --- | --- | --- |
| Model | GPT-5.4 (Mar 2026) | Claude Opus 4.6 (Feb 2026) | Gemini 3.1 Pro (Feb 2026) |
| Context Window | 1.05M (API) | 200K (1M beta) | 1M |
| Max Output | 128K tokens | 128K tokens | 64K tokens |
| SWE-bench Verified | — | 80.8% | 80.6% |
| GPQA Diamond | — | 91.3% | 94.3% |
| ARC-AGI-2 | — | 68.8% | 77.1% |
| Image Generation | Built-in | No native generation | Nano Banana (built-in) |
| Computer Use | Built-in | Via API tool | Via separate Computer Use model |
| Code Execution | Yes (sandbox) | Yes | Yes (sandbox) |
| Web Search | Built-in | Built-in | Built-in (Google Search) |
| Voice Mode | Advanced Voice | Voice support | Gemini Live |
| Coding Agent | Codex | Claude Code CLI | Gemini CLI |

Benchmark cells marked "—" are not included in Google DeepMind's comparison table, which compared Gemini 3.1 Pro against Opus 4.6 and GPT-5.2 rather than GPT-5.4.

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## Which AI coding tool fits best: Claude Code vs Codex vs Gemini CLI?

**Claude Code runs in the terminal and IDEs and passed $2.5B in run-rate revenue by February 2026. Codex handles async task delegation in cloud sandboxes. Gemini CLI offers a free tier of 1,000 requests per day.**

### Claude Code: Terminal-First Coding Agent

Anthropic reported in February 2026 that [Claude Code's run-rate revenue had grown to over $2.5 billion](https://www.anthropic.com/news/anthropic-raises-30-billion-series-g-funding-380-billion-post-money-valuation). The tool operates in terminals, reads project structures, writes code, runs tests, and handles git workflows without leaving the command line.

Claude Code capabilities:

-   **Agentic search** — scans the codebase for context without manual file selection
-   **Subagents and agent teams** — split exploration and implementation across parallel agents
-   **MCP integration** — connects to external tools such as Google Drive, Jira, and Slack through MCP servers
-   **Full terminal access** — runs builds, executes tests, manages git, handles CLI operations
-   **VS Code and JetBrains extensions** — same agent functionality inside IDEs

Opus 4.6 scored 80.8% on SWE-bench Verified, a benchmark of real GitHub issues. Sonnet 4.6 at 79.6% offers similar coding capability at a lower price.

### Codex: OpenAI's Async Coding Agent

Codex is built for task delegation. Users describe requirements and Codex works in cloud sandbox environments preloaded with their repositories.

Codex features:

-   **Autonomous operation** on multi-step tasks with progress updates
-   **Cloud sandbox execution** — isolated environments with test harnesses, linters, type checkers
-   **Verifiable evidence** — citations of terminal logs and test outputs for step tracing
-   **Agent skills support** — reusable instruction bundles for repeatable tasks
-   **Parallel operation** — worktrees let multiple agents work across a project

Interactive mode allows mid-task questions, approach discussions, and solution steering during code generation.

### Using Claude Code AND Codex Together

Some developers use Claude Code and Codex as complementary tools:

1.  **Claude Code generates** — interactive implementation with local codebase context
2.  **Codex reviews** — code review in a cloud sandbox with test execution
3.  **Claude Code iterates** — fixes based on Codex feedback

A common split is Codex for async batch work and Claude Code for interactive development.

### Gemini CLI: The Free Option

Gemini CLI runs on Gemini 3 models and, per its [GitHub README](https://github.com/google-gemini/gemini-cli), offers a free tier of 60 requests per minute and 1,000 requests per day with a personal Google account (as of September 2026). It includes Google Search grounding, file operations, and shell commands.

Gemini CLI is a solid free option for individual developers and smaller tasks. Teams comparing it with Claude Code or Codex should trial all three on their own codebase.

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## What are the published benchmark results for each AI model?

**In Google DeepMind's comparison table, Gemini 3.1 Pro leads GPQA Diamond (94.3%) and ARC-AGI-2 (77.1%), and Claude Opus 4.6 leads SWE-bench Verified (80.8%).**

### Reasoning & Knowledge

| Benchmark | GPT-5.2 | Claude Opus 4.6 | Gemini 3.1 Pro | What It Tests |
| --- | --- | --- | --- | --- |
| GPQA Diamond | 92.4% | 91.3% | 94.3% | PhD-level science (physics, chemistry, biology) |
| ARC-AGI-2 | 52.9% | 68.8% | 77.1% | Abstract reasoning and pattern recognition |

Source: Google DeepMind's Gemini 3.1 Pro model card (February 2026). OpenAI's newer GPT-5.4 is not included in that table.

### Coding & Software Engineering

| Benchmark | GPT-5.2 | Claude Opus 4.6 | Gemini 3.1 Pro | What It Tests |
| --- | --- | --- | --- | --- |
| SWE-bench Verified | 80.0% | 80.8% | 80.6% | Resolving real GitHub issues |
| SWE-bench Verified (Sonnet 4.6) | — | 79.6% | — | Mid-tier model comparison |

The top three scores sit within one percentage point of each other, so differences in tooling and workflow matter as much as the benchmark gap.

### Human Preference

Human-preference rankings such as the [LMArena leaderboard](https://lmarena.ai/leaderboard) change frequently as new models are added. Check the live leaderboard for current positions rather than relying on a snapshot.

* * *

## How much does each AI platform cost?

**As of September 2026, all three offer a standard tier around $20/month. ChatGPT Pro costs $100 or $200/month, Claude Max starts at $100/month, and Google AI Ultra starts at $99.99/month. All three have free tiers.**

### Consumer Plans (US pricing as of September 2026)

| Plan | ChatGPT | Claude | Gemini |
| --- | --- | --- | --- |
| Free | Limited access to OpenAI's default model | Chat, web search, file creation | Gemini 3.6 Flash, varying access to 3.1 Pro |
| Standard | Plus: $20/mo | Pro: $20/mo ($17/mo billed annually) | AI Pro: $19.99/mo |
| Power User | Pro: $100 or $200/mo | Max: from $100/mo (5x or 20x Pro usage) | AI Ultra: $99.99 or $199.99/mo |
| What Standard Gets You | Thinking models, image generation, voice, higher limits | Claude Code, more usage, more models | Higher Gemini usage, Deep Research, video generation |

### API Pricing (per million tokens, as of September 2026)

| Model | Input | Output | Notes |
| --- | --- | --- | --- |
| GPT-5.4 | $2.50 | $15.00 | 1.05M context, 2x input / 1.5x output above 272K |
| Claude Opus 4.6 | $5.00 | $25.00 | $10/$37.50 above 200K (1M beta) |
| Claude Sonnet 4.6 | $3.00 | $15.00 | Lower-cost Claude option for coding |
| Gemini 3.1 Pro | $2.00 | $12.00 | $4/$18 above 200K tokens |

### Coding Agent Access

| Tool | Access | Cost model |
| --- | --- | --- |
| Claude Code | Claude Pro ($20/mo) or Max (from $100/mo) | Included in plan, or API usage |
| Codex | ChatGPT Plus ($20/mo) or Pro ($100–200/mo) | Included in plan, or API usage |
| Gemini CLI | Free (1,000 requests/day) | Free tier, or paid API key |

Gemini CLI's free tier covers many individual projects. Claude Pro at $20/mo includes Claude Code. ChatGPT Pro adds higher Codex limits for heavy users.

* * *

## Which AI should you choose for your specific needs?

**Choose ChatGPT for agentic automation and team environments. Choose Claude for daily coding and long-form writing. Choose Gemini for large-document processing and Google ecosystem integration.**

### Choose ChatGPT (GPT-5.4) If You:

-   Need **agentic automation** — GPT-5.4's built-in computer use operates browsers, apps, and multi-step workflows
-   Want **async coding delegation** — Codex handles fire-and-forget tasks in cloud sandboxes
-   Work in a **team environment** — ChatGPT's Business and Enterprise plans offer admin controls, SSO, and compliance features
-   Need **image generation alongside conversation** — built into ChatGPT without context switching
-   Value **ecosystem breadth** — custom GPTs and wide third-party integration support

### Choose Claude (Opus 4.6) If You:

-   Are a **developer who codes daily** — Claude Code CLI is built for terminal-based development
-   Need **long-form writing** — 128K output tokens support long documents in one pass
-   Work with **complex, nuanced tasks** — adaptive thinking scales reasoning to task difficulty
-   Want **strong coding benchmark results** — 80.8% on SWE-bench Verified
-   Care about **AI safety policy** — Anthropic publishes system cards and a constitution for its models

### Choose Gemini (3.1 Pro) If You:

-   Need to **process large documents** — the 1M context window handles long codebases, videos, and PDFs without chunking
-   Are deep in the **Google ecosystem** — Gmail, Docs, Drive, and Workspace integration
-   Want a **generous free tier** — free users get Gemini Flash plus varying access to 3.1 Pro
-   Need **strong reasoning scores** — 94.3% GPQA Diamond and 77.1% ARC-AGI-2 are the highest in Google's comparison table
-   Work with **multimodal input** — text, images, audio, video, and PDFs in one prompt

### A Common Multi-Tool Setup

A multi-tool configuration some professionals use:

1.  **Claude Code** (Claude Pro, $20/mo) — primary coding tool for development work
2.  **ChatGPT Pro** ($200/mo) — Codex for async task delegation and code review, plus agentic workflows
3.  **Google AI Pro** ($19.99/mo) — long-document analysis, research with large context, Google Workspace integration

Total: about $240/month at September 2026 prices. Most individual users will not need all three.

Single choice for developers: **Claude Pro at $20/mo**, which bundles Claude Code with the chat app. For specialized [voice and audio workflows, ElevenLabs](https://aitoolranked.com/blog/elevenlabs-review-2026-complete-analysis) covers that vertical.

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## Frequently Asked Questions

### Is ChatGPT still the best AI in 2026?

"Best" depends on use case. GPT-5.4 brought built-in computer use and a 1.05M-token API context window. Claude Opus 4.6 led SWE-bench Verified at 80.8% in Google DeepMind's comparison table. Gemini 3.1 Pro led GPQA Diamond (94.3%). All three vendors have since released newer models, so check each vendor's current lineup.

### Is Claude better than ChatGPT for coding?

On SWE-bench Verified, Claude Opus 4.6 scored 80.8% in Google DeepMind's comparison table, ahead of GPT-5.2 at 80.0%; OpenAI's newer GPT-5.4 was not in that table. Claude Code passed $2.5B in run-rate revenue by February 2026, per Anthropic, and offers terminal integration, subagents, and MCP support. Codex is built for async task delegation. Many developers use both: Claude Code for implementation, Codex for review.

### Is Gemini 3.1 Pro better than ChatGPT and Claude?

Gemini 3.1 Pro leads specific benchmarks in Google's table: 94.3% GPQA Diamond (PhD-level science), 77.1% ARC-AGI-2 (abstract reasoning), and 80.6% SWE-bench Verified. It offers a 1M context window and a generous free tier. For research and document analysis, it is a strong choice.

### How much does ChatGPT vs Claude vs Gemini cost?

As of September 2026, all three offer a standard tier at about $20/month: ChatGPT Plus ($20/mo), Claude Pro ($20/mo), Google AI Pro ($19.99/mo). Power-user tiers: ChatGPT Pro at $100 or $200/mo, Claude Max from $100/mo, and Google AI Ultra at $99.99 or $199.99/mo. ChatGPT also offers a lower-cost Go plan. For API usage, Gemini 3.1 Pro costs $2/$12 per MTok, GPT-5.4 costs $2.50/$15, and Claude Opus 4.6 costs $5/$25.

### Can I use Claude Code and Codex together?

Yes. A common workflow uses Claude Code for interactive implementation with local codebase context and Codex for code review and async task delegation in cloud sandboxes with built-in test execution.

### Which AI has the largest context window?

Among these three models, GPT-5.4 has the largest API context window at 1.05M tokens. Gemini 3.1 Pro supports 1M tokens. Claude Opus 4.6 supports 200K tokens as standard, with a 1M beta on the Claude Developer Platform.

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The three-way AI race in early 2026 had no single "best" answer. Each platform carved out genuine strengths.

**GPT-5.4** is a strong general-purpose agent. Built-in computer use, a broad ecosystem, and mature team plans make it a safe all-around choice, especially for teams and enterprises.

**Claude Opus 4.6** led SWE-bench Verified in Google DeepMind's table, and Claude Code became one of the most widely adopted AI coding tools of 2026.

**Gemini 3.1 Pro** posted the highest GPQA Diamond and ARC-AGI-2 scores in Google's comparison table, and its 1M context and free tier make it useful for researchers and students processing large amounts of information.

Recommendation: start with Claude Pro at $20/mo if you code, add Gemini's free tier as a research companion, and add ChatGPT for async automation or enterprise features. For other AI alternatives, check our guide to [best character AI alternatives](https://aitoolranked.com/blog/best-character-ai-alternatives-2026) or see how Grok stacks up against ChatGPT.

## Sources

-   [Gemini 3.1 Pro model card — Google DeepMind](https://deepmind.google/models/model-cards/gemini-3-1-pro/)
-   [Introducing Claude Opus 4.6 — Anthropic](https://www.anthropic.com/news/claude-opus-4-6)
-   [Introducing Claude Sonnet 4.6 — Anthropic](https://www.anthropic.com/news/claude-sonnet-4-6)
-   [GPT-5.4 model page — OpenAI API docs](https://developers.openai.com/api/docs/models/gpt-5.4)
-   [Pricing — Claude API docs](https://platform.claude.com/docs/en/about-claude/pricing)
-   [Gemini API pricing — Google AI for Developers](https://ai.google.dev/gemini-api/docs/pricing)
-   [Google AI plans (US) — Google](https://gemini.google/us/subscriptions/)
-   [Gemini CLI README — GitHub](https://github.com/google-gemini/gemini-cli)

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Source: https://aitoolranked.com/blog/chatgpt-vs-claude-vs-gemini