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Introducing Cosmos 3 Edge20/07/26 · Hugging Face|Kimi K3, Qwen 3.8, and Anthropic's (Potential) Unravelling20/07/26 · Anthropic|At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI20/07/26 · NVIDIA|China's open-weights AI strategy is winning20/07/26|Bristol Myers Squibb Building Life Science Industry’s Most Advanced AI Factory on NVIDIA Vera Rubin20/07/26 · NVIDIA|Safety and alignment in an era of long-horizon models20/07/26 · OpenAI|Claude Fable produced a counterexample to the Jacobian Conjecture20/07/26 · Anthropic|Apply for Anthropic’s AI for Science rare disease research grants20/07/26 · Anthropic|AI advice made people less accurate but more confident – sudy19/07/26|Vincentwei1021/video-shotcraft: AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template19/07/26 · Anthropic|Claude Code uses Bun written in Rust now19/07/26 · Anthropic|OpenAI reduces Codex Model Context Size from 372k to 272k19/07/26 · OpenAI|Introducing Cosmos 3 Edge20/07/26 · Hugging Face|Kimi K3, Qwen 3.8, and Anthropic's (Potential) Unravelling20/07/26 · Anthropic|At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI20/07/26 · NVIDIA|China's open-weights AI strategy is winning20/07/26|Bristol Myers Squibb Building Life Science Industry’s Most Advanced AI Factory on NVIDIA Vera Rubin20/07/26 · NVIDIA|Safety and alignment in an era of long-horizon models20/07/26 · OpenAI|Claude Fable produced a counterexample to the Jacobian Conjecture20/07/26 · Anthropic|Apply for Anthropic’s AI for Science rare disease research grants20/07/26 · Anthropic|AI advice made people less accurate but more confident – sudy19/07/26|Vincentwei1021/video-shotcraft: AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template19/07/26 · Anthropic|Claude Code uses Bun written in Rust now19/07/26 · Anthropic|OpenAI reduces Codex Model Context Size from 372k to 272k19/07/26 · OpenAI|
🇺🇸 United States🧠 GeneralistReleased April 2026

GPT-5.5

OpenAI
Free
Verdict

The default choice when quality matters more than budget.

Overview

GPT-5.5 is OpenAI's most capable model at launch. It understands a task earlier, plans, uses tools and checks its own work until completion. It targets agentic coding, computer use and knowledge work. 1M-token context. High output pricing, best reserved for cases where quality matters more than budget.

Skill profile

FrenchReasoningSpeedCreativitySafety
Verified benchmarks
SWE-Bench82.6%

What do these scores mean?

SWE-Bench82.6%excellent

Resolving real GitHub issues under real conditions (SWE-bench Verified).

Strengths

  • Top-tier reasoning
  • Excellent at code
  • Strong French quality
  • Very long context

Limitations

  • High output cost
  • No native GDPR guarantee

Who is it for

A good fit if…
  • you need advanced reasoning or analysis
  • you build with a coding agent
  • you work in French
Skip it if…
  • your budget is tight
  • you handle sensitive EU data

Ideal use cases

  • Agentic coding and long-horizon tasks
  • Research and document analysis
  • Multi-tool automation

Access & availability

Paid API per tokenFree tier available

Key specifications

Context
1M
Input price
$5.00 $/M
Output price
$30.00 $/M
Speed
Price verified Jun 1, 2026·Official sourceBenchmarks not audited

Estimate your monthly cost

Per-token API pricing
$363/ month with GPT-5.5

For the same usage

Indicative estimate based on standard API rates (excluding caching, batch and volume discounts). Always check the official pricing before committing.

Privacy

Not GDPR-compliant
Advanced data · for experts
Architecture, modalities, detailed cost, full benchmarks
Architecture
Size
Cutoff date
Nov 2025
Inputs
text, image
Outputs
text
License
commercial
Hosting
Hallucination score
Estimated cost (API)
Typical exchange (~3k in / 1k out)
≈ $0.0450
1M in + 1M out
≈ $35.00
All benchmarks
Arena Elo
MMLU
GPQA
HumanEval
SWE-Bench82.6%
MATH

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