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gpt-5.2-chat vs claude-opus-4-7

Side-by-side comparison of gpt-5.2-chat and claude-opus-4-7 — benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2-chat outperforms claude-opus-4-7 on 9 of 9 shared benchmarks.

Benchmark comparison

MMLU Proknowledge
gpt-5.2-chat90.1%
claude-opus-4-789.1%
GPQA Diamondreasoning
gpt-5.2-chat84.8%
claude-opus-4-783.4%
HumanEvalcoding
gpt-5.2-chat95.3%
claude-opus-4-795.2%
SWE-Bench Verifiedcoding
gpt-5.2-chat79.5%
claude-opus-4-778.6%
MATHmath
gpt-5.2-chat95.7%
claude-opus-4-794.8%
AIME 2024math
gpt-5.2-chat92.3%
claude-opus-4-791.5%
MMMUmultimodal
gpt-5.2-chat81.4%
claude-opus-4-779.8%
LiveBenchreasoning
gpt-5.2-chat77.9%
claude-opus-4-776.2%
τ-bench Retailagentic
gpt-5.2-chat75.2%
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-chatclaude-opus-4-7
Input price / 1M$1.75$5.00
Output price / 1M$14.00$25.00
Context window128K tokens1M tokens
Max output16K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYes
ProviderOpenAI Inc.Anthropic PBC

Questions people ask

Is gpt-5.2-chat better than claude-opus-4-7?
gpt-5.2-chat outperforms claude-opus-4-7 on 9 of 9 shared benchmarks. See the benchmark comparison above for specifics — gpt-5.2-chat and claude-opus-4-7 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gpt-5.2-chat or claude-opus-4-7?
gpt-5.2-chat is cheaper. gpt-5.2-chat 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-chat 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-chat" or "anthropic/claude-opus-4-7" — no other code changes needed.
What are the context windows?
gpt-5.2-chat supports up to 128K 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-chat and claude-opus-4-7 with one line of code

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