Requesty

gpt-5.2-chat vs gemini-2.5-pro

Side-by-side comparison of gpt-5.2-chat and gemini-2.5-pro — benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2-chat outperforms gemini-2.5-pro on 8 of 9 shared benchmarks.

Benchmark comparison

MMLU Proknowledge
gpt-5.2-chat90.1%
gemini-2.5-pro86.2%
GPQA Diamondreasoning
gpt-5.2-chat84.8%
gemini-2.5-pro84.0%
HumanEvalcoding
gpt-5.2-chat95.3%
gemini-2.5-pro93.2%
SWE-Bench Verifiedcoding
gpt-5.2-chat79.5%
gemini-2.5-pro63.8%
MATHmath
gpt-5.2-chat95.7%
gemini-2.5-pro91.4%
AIME 2024math
gpt-5.2-chat92.3%
gemini-2.5-pro88.0%
MMMUmultimodal
gpt-5.2-chat81.4%
gemini-2.5-pro81.7%
LiveBenchreasoning
gpt-5.2-chat77.9%
gemini-2.5-pro73.6%
τ-bench Retailagentic
gpt-5.2-chat75.2%
gemini-2.5-pro69.8%

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-chatgemini-2.5-pro
Input price / 1M$1.75$1.25
Output price / 1M$14.00$10.00
Context window128K tokens1.0M tokens
Max output16K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer use
ProviderOpenAI Inc.Google LLC (Gemini API)

Questions people ask

Is gpt-5.2-chat better than gemini-2.5-pro?
gpt-5.2-chat outperforms gemini-2.5-pro on 8 of 9 shared benchmarks. See the benchmark comparison above for specifics — gpt-5.2-chat and gemini-2.5-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gpt-5.2-chat or gemini-2.5-pro?
gemini-2.5-pro is cheaper. gpt-5.2-chat costs $1.75/$14.00 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use gpt-5.2-chat and gemini-2.5-pro 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 "google/gemini-2.5-pro" — no other code changes needed.
What are the context windows?
gpt-5.2-chat supports up to 128K tokens of context. gemini-2.5-pro supports up to 1.0M 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 gemini-2.5-pro 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