gpt-5.2 vs claude-opus-4-7
Side-by-side comparison of gpt-5.2 and claude-opus-4-7 — benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2 outperforms claude-opus-4-7 on 9 of 9 shared benchmarks.
gpt-5.2
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai/gpt-5.2
claude-opus-4-7
Input / 1M
$5.00
Output / 1M
$25.00
Context
1M
Model ID
anthropic/claude-opus-4-7
Benchmark comparison
MMLU Proknowledge
gpt-5.290.1%
claude-opus-4-789.1%
GPQA Diamondreasoning
gpt-5.284.8%
claude-opus-4-783.4%
HumanEvalcoding
gpt-5.295.3%
claude-opus-4-795.2%
SWE-Bench Verifiedcoding
gpt-5.279.5%
claude-opus-4-778.6%
MATHmath
gpt-5.295.7%
claude-opus-4-794.8%
AIME 2024math
gpt-5.292.3%
claude-opus-4-791.5%
MMMUmultimodal
gpt-5.281.4%
claude-opus-4-779.8%
LiveBenchreasoning
gpt-5.277.9%
claude-opus-4-776.2%
τ-bench Retailagentic
gpt-5.275.2%
claude-opus-4-774.5%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| gpt-5.2 | claude-opus-4-7 | |
|---|---|---|
| Input price / 1M | $1.75 | $5.00 |
| Output price / 1M | $14.00 | $25.00 |
| Context window | 400K tokens | 1M tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | — | Yes |
| Provider | OpenAI Inc. | Anthropic PBC |
Questions people ask
Is gpt-5.2 better than claude-opus-4-7?
gpt-5.2 outperforms claude-opus-4-7 on 9 of 9 shared benchmarks. See the benchmark comparison above for specifics — gpt-5.2 and claude-opus-4-7 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gpt-5.2 or claude-opus-4-7?
gpt-5.2 is cheaper. gpt-5.2 costs $1.75/$14.00 per 1M input/output tokens, while claude-opus-4-7 costs $5.00/$25.00.
Can I use gpt-5.2 and claude-opus-4-7 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "openai/gpt-5.2" or "anthropic/claude-opus-4-7" — no other code changes needed.
What are the context windows?
gpt-5.2 supports up to 400K tokens of context. claude-opus-4-7 supports up to 1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between gpt-5.2 and claude-opus-4-7 with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.
Get started free