GPT-5.5 vs Claude Opus 4.7: Which AI Model Wins in 2026?
The two most talked-about AI models of April 2026 are OpenAI's GPT-5.5 (released April 23) and Anthropic's Claude Opus 4.7 (released just one week earlier). Both are state-of-the-art frontier models. Here's the complete head-to-head comparison.
Overview
| GPT-5.5 | Claude Opus 4.7 | |
|---|---|---|
| Developer | OpenAI | Anthropic |
| Release Date | April 23, 2026 | ~April 16, 2026 |
| Codename | Spud | — |
| Predecessor | GPT-5.4 | Claude Opus 4.6 |
Benchmark Comparison: GPT-5.5 vs Claude Opus 4.7
OpenAI published direct benchmark comparisons between the two models:
Coding
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| Terminal-Bench 2.0 | 82.7% | 69.4% | GPT-5.5 |
| SWE-Bench Pro | 58.6% | 64.3% | Claude Opus 4.7 |
| Expert-SWE (Internal) | 73.1% | — | GPT-5.5 |
On Terminal-Bench 2.0 — which tests complex command-line workflows requiring planning, iteration, and tool coordination — GPT-5.5 leads by 13.3 percentage points. This is one of the most decisive benchmark advantages in the comparison.
Claude Opus 4.7 holds a 5.7-point lead on SWE-Bench Pro, though Anthropic itself has noted evidence of memorization on this benchmark, which may affect how much weight to give this result.
Knowledge Work
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| GDPval (wins/ties) | 84.9% | 80.3% | GPT-5.5 |
| OSWorld-Verified | 78.7% | 78.0% | GPT-5.5 (narrow) |
GPT-5.5 leads on GDPval by 4.6 points, a meaningful gap across 44 professional occupations. OSWorld is essentially a tie.
Web Research & Tool Use
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| BrowseComp | 84.4% | 79.3% | GPT-5.5 |
| MCP Atlas | 75.3% | 79.1% | Claude Opus 4.7 |
| Toolathlon | 55.6% | — | GPT-5.5 |
Academic & Science
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| FrontierMath Tier 1–3 | 51.7% | 43.8% | GPT-5.5 |
| FrontierMath Tier 4 | 35.4% | 22.9% | GPT-5.5 |
| GPQA Diamond | 93.6% | 94.2% | Claude Opus 4.7 (narrow) |
| Humanity's Last Exam (tools) | 52.2% | 54.7% | Claude Opus 4.7 |
GPT-5.5 significantly outperforms on FrontierMath — especially at Tier 4 (hardest), where it scores 35.4% vs Claude's 22.9% (+12.5 points). Claude leads narrowly on GPQA Diamond and Humanity's Last Exam.
Long Context
| Benchmark | GPT-5.5 | Claude Opus 4.7 |
|---|---|---|
| MRCR 128K–256K | 87.5% | 59.2% |
| Graphwalks BFS 256K | 73.7% | 76.9% |
| Graphwalks parents 256K | 90.1% | 93.6% |
GPT-5.5 dominates on MRCR at long contexts; Claude has a small edge on Graphwalks tasks.
Cybersecurity
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| CyberGym | 81.8% | 73.1% | GPT-5.5 |
Abstract Reasoning
| Benchmark | GPT-5.5 | Claude Opus 4.7 | Winner |
|---|---|---|---|
| ARC-AGI-2 | 85.0% | 75.8% | GPT-5.5 |
| ARC-AGI-1 | 95.0% | 93.5% | GPT-5.5 (narrow) |
GPT-5.5 leads by 9.2 points on ARC-AGI-2 — one of the most important tests of novel reasoning.
Where Each Model Excels
GPT-5.5 wins on:
- Agentic coding workflows (Terminal-Bench, Expert-SWE)
- Abstract and novel reasoning (ARC-AGI-2: +9.2 pts)
- Advanced mathematics (FrontierMath Tier 4: +12.5 pts)
- Knowledge work at scale (GDPval: +4.6 pts)
- Cybersecurity (CyberGym: +8.7 pts)
- Very long context (MRCR 128K–256K: +28.3 pts)
Claude Opus 4.7 wins on:
- Real-world GitHub issue resolution (SWE-Bench Pro: +5.7 pts)
- MCP tool integration
- GPQA Diamond (narrow: +0.6 pts)
- Humanity's Last Exam with tools (+2.5 pts)
Pricing Comparison
| GPT-5.5 | Claude Opus 4.7 | |
|---|---|---|
| Input price | $5 / 1M tokens | ~$15 / 1M tokens |
| Output price | $30 / 1M tokens | ~$75 / 1M tokens |
GPT-5.5 is priced significantly below Claude Opus 4.7 at the API level. OpenAI also notes that GPT-5.5 achieves state-of-the-art intelligence at half the cost of competitive frontier coding models.
Which Should You Choose?
Choose GPT-5.5 if:
- Cost efficiency is a priority (significant pricing advantage)
- Your workflows involve complex command-line/agentic coding
- You need strong long-context handling
- Math-heavy or abstract reasoning tasks are core to your use case
- Computer use / GUI automation is part of your pipeline
Choose Claude Opus 4.7 if:
- SWE-Bench-style task performance is your benchmark of choice
- You already have Anthropic API integration
- MCP tool use is central to your architecture
- You want to test both and pick per-workload
Using GPT-5.5 in Production
Platforms like Framia.pro integrate GPT-5.5 for business workflows, content generation, and research tasks. If you want to access GPT-5.5's capabilities without building direct API integrations, Framia.pro offers a ready-to-use entry point.
Verdict
On the overall benchmark picture, GPT-5.5 leads more often and by larger margins — particularly in agentic coding, mathematics, abstract reasoning, and long-context tasks. Claude Opus 4.7 holds targeted advantages in GitHub issue resolution and a few academic benchmarks. For most enterprise and developer use cases, GPT-5.5 is the stronger choice — especially given its lower API pricing.