Claude Opus 4.7 vs GPT-4o
Pricing, benchmarks, and use case comparison
Quick take
- •Claude Opus 4.7 is meaningfully stronger at long context (91 vs 55 on our capability index).
- •GPT-4o is meaningfully stronger at speed (85 vs 68).
- •GPT-4o is 50% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Claude Opus 4.7 has a 1M context window vs 128,000 tokens (16,384 max output) - better for whole-repo or long-document work.
Specs comparison
| Claude Opus 4.7 | GPT-4o | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓1M | 128,000 tokens (16,384 max output) |
| Input / 1M tokens | $5.00 | ✓$2.50 |
| Output / 1M tokens | $25.00 | $10.00 |
| Release date | 2026-04 | 2024-05 |
Benchmarks
| Benchmark | Claude Opus 4.7 | GPT-4o |
|---|---|---|
| SWE-bench Verified | 87.6% | - |
| SWE-bench Pro | 64.3% | - |
| MMLU | - | 88.7% |
| HumanEval | - | 90.2% |
| MATH | - | 76.6% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Claude Opus 4.7 if...
- →You have a pipeline pinned to Opus 4.7 and need stability
- →Your workload is vision-heavy and benefits from higher-resolution image input
- →You need top-tier coding with 1M context but haven't migrated to 4.8 yet
- →You want documented, broadly available Opus-class behavior
Choose GPT-4o if...
- →Everyday assistant, drafting, summarization, and classification tasks
- →Latency- and cost-sensitive applications at scale
- →Multimodal tasks needing image understanding with fast responses