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