GPT-5.5 vs Claude 4.7
Two flagship AI models of 2026 — OpenAI GPT-5.5 and Anthropic Claude 4.7 head-to-head. Reasoning, coding, long context, multimodal, pricing — every dimension benchmarked.
One-Sentence Positioning
GPT-5.5 is OpenAI's 2026 flagship — enhanced reasoning, autonomous agent execution, desktop super-app form factor, native multimodal fusion. The strongest available model in the OpenAI ecosystem.
Claude 4.7 is Anthropic's 2026 flagship — enhanced coding reliability, long context (200K native / 1M Beta), market-leading code generation and refactoring stability, mature CLI form factor.
Spec Comparison Table
Side-by-side core specification metrics
| Spec | GPT-5.5 | Claude 4.7 |
|---|---|---|
| Context Window | 128K | 200K (1M Beta) |
| Multimodal | Image + Text + UI | Image + Text |
| Agent Mode | Native (super-app) | Native (CLI) |
| Tool Calling | Aggressive | Stable |
| HumanEval | 90+ | 90+ |
| SWE-bench Verified | Strong | Leading |
| Form Factor | Desktop super-app + CLI | CLI + IDE plugins |
| QCode Endpoint | /openai/v1/* | /v1/messages |
Coding Benchmark (HumanEval / SWE-bench)
Both score 90+ on HumanEval single-turn code generation. The real gap shows on SWE-bench Verified real-repo PR fixes — Claude 4.7 leads slightly thanks to more stable multi-file understanding and plan execution; GPT-5.5 is more aggressive on autonomous exploration and tool-call agent mode. Production advice: try both.
Reasoning & Long Context
Claude 4.7 supports 200K context natively (1M Beta via long-context header), suitable for large-repo whole-codebase analysis. GPT-5.5 has 128K native context plus tiered thinking mode, with stronger intermediate reasoning visibility on multi-step chains. Long-doc summarization / repo-wide refactoring → Claude 4.7. Multi-step agent decisions → GPT-5.5.
Multimodal Capabilities
GPT-5.5 natively supports image + text input, with the desktop super-app integrating screenshots and UI operations. Claude 4.7 also supports image input but is more focused on code and document scenarios. UI/vision-heavy workflows feel smoother on GPT-5.5.
Latency & Pricing
Official pricing of both is in the same magnitude (single-digit USD per million input/output tokens). On latency, Claude 4.7 has steadier TTFB on long contexts, while GPT-5.5 responds faster on short contexts plus agent mode. Via QCode proxy, save 85% with quota shared across both — no duplicate purchases.
Use-Case Matrix
Code generation / refactoring / long-repo understanding → Claude 4.7 (mature CLI). Autonomous agents / desktop apps / multimodal fusion → GPT-5.5 (super-app experience). Daily Q&A and single-file edits — either works. Mixed development: connect both and switch by scenario — QCode plans make this zero-friction.
Connect Both via QCode
One QCode plan = one API Key, simultaneously powering Claude Code (with Claude 4.7) and OpenAI Codex CLI (with GPT-5.5 / 5.3-Codex). Quota (dailyCostLimit) is shared across all three platforms, reset daily. Gemini is included in the same plan. Setup details on docs.qcode.cc.
export ANTHROPIC_BASE_URL="https://api.qcode.cc"
export ANTHROPIC_AUTH_TOKEN="$QCODE_KEY"
claudenpm install -g @openai/codex
# add QCode profile in ~/.codex/config.toml
codex --profile qcodeWhen to Pick Which — Decision Checklist
If you're already in the OpenAI ecosystem (ChatGPT Plus / Codex CLI / desktop super-app), continue with GPT-5.5. If you value CLI tooling stability + long-context scenarios (200K+), pick Claude 4.7. When unsure, a QCode plan lets you use both — the de-facto best practice for most developer workflows in 2026.
QCode also powers OpenAI Codex / GPT-5.5
Your QCode quota works seamlessly across Claude Code, OpenAI Codex CLI, and Google Gemini — one shared balance, zero duplicate spend.
FAQ
Is GPT-5.5 stronger than Claude 4.7?
No simple answer. Each leads on different dimensions: GPT-5.5 on autonomous agent tasks and multimodal; Claude 4.7 on coding reliability and long context. In production, try both and pick by task type.
Can a QCode plan use both models simultaneously?
Yes. A single plan quota (dailyCostLimit) is shared across all three platforms — Claude Code (with Claude 4.7), OpenAI Codex CLI (with GPT-5.5), and Google Gemini. One API Key, no duplicate purchases.
Can users in China stably access GPT-5.5?
Yes. QCode deploys API proxies in Asia-Pacific (Hong Kong / Japan) for stable access from China. Configure Codex CLI with the QCode endpoint to use GPT-5.5.
Which is recommended for long-context (200K+) tasks?
Claude 4.7. Native 200K context plus 1M Beta — better stability for whole-repo analysis and multi-file refactoring.
Try Both Flagship Models Now
QCode plans share quota across three platforms — save 85%