gemini-2.5-pro vs gpt-5
Side-by-side comparison of gemini-2.5-pro and gpt-5— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5 outperforms gemini-2.5-pro on 11 of 11 shared benchmarks.
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
gpt-5
Input / 1M
$1.25
Output / 1M
$10.00
Context
400K
Model ID
openai/gpt-5
Benchmark comparison
Intelligence Indexreasoning
gemini-2.5-pro34.6%
gpt-544.6%
Coding Indexcoding
gemini-2.5-pro32.0%
gpt-536.0%
Math Indexmath
gemini-2.5-pro87.7%
gpt-594.3%
GPQA Diamondreasoning
gemini-2.5-pro84.4%
gpt-585.4%
AIME 2025math
gemini-2.5-pro87.7%
gpt-594.3%
LiveCodeBenchcoding
gemini-2.5-pro80.1%
gpt-584.6%
Terminal-Bench Hardagentic
gemini-2.5-pro26.5%
gpt-532.6%
τ²-Benchagentic
gemini-2.5-pro54.1%
gpt-584.8%
SciCodecoding
gemini-2.5-pro42.8%
gpt-542.9%
MMLU Proknowledge
gemini-2.5-pro86.2%
gpt-587.1%
Humanity's Last Examreasoning
gemini-2.5-pro21.1%
gpt-526.5%
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
| gemini-2.5-pro | gpt-5 | |
|---|---|---|
| Input price / 1M | $1.25 | $1.25 |
| Output price / 1M | $10.00 | $10.00 |
| Context window | 1.0M tokens | 400K tokens |
| Max output | 66K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | — | — |
| Provider | Google LLC (Gemini API) | OpenAI Inc. |
Questions people ask
Is gemini-2.5-pro better than gpt-5?
gpt-5 outperforms gemini-2.5-pro on 11 of 11 shared benchmarks. See the benchmark comparison above for specifics — gemini-2.5-pro and gpt-5 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gemini-2.5-pro or gpt-5?
gemini-2.5-pro and gpt-5 have identical combined pricing.
Can I use gemini-2.5-pro and gpt-5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "google/gemini-2.5-pro" or "openai/gpt-5" — no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M tokens of context. gpt-5 supports up to 400K 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 gemini-2.5-pro and gpt-5 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