gemini-2.5-pro vs gemini-3.7-flash
Side-by-side comparison of gemini-2.5-pro and gemini-3.7-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.7-flash outperforms gemini-2.5-pro on 4 of 4 shared benchmarks.
gemini-2.5-pro
Input / 1M
$1.25
Output / 1M
$10.00
Context
1.0M
Model ID
google/gemini-2.5-pro
gemini-3.7-flash
Input / 1M
$1.50$0.75
Output / 1M
$7.50$3.75
Context
1.0M
Model ID
vertex/gemini-3.7-flash
Benchmark comparison
Intelligence Indexreasoning
gemini-2.5-pro19.0%
gemini-3.7-flash45.2%
Coding Indexcoding
gemini-2.5-pro33.3%
gemini-3.7-flash76.1%
Math Indexmath
gemini-2.5-pro87.7%
gemini-3.7-flashN/A
GPQA Diamondreasoning
gemini-2.5-pro84.4%
gemini-3.7-flash94.5%
AIME 2025math
gemini-2.5-pro87.7%
gemini-3.7-flashN/A
LiveCodeBenchcoding
gemini-2.5-pro80.1%
gemini-3.7-flashN/A
Terminal-Bench Hardagentic
gemini-2.5-pro26.5%
gemini-3.7-flashN/A
τ²-Benchagentic
gemini-2.5-pro54.1%
gemini-3.7-flashN/A
SciCodecoding
gemini-2.5-proN/A
gemini-3.7-flash57.2%
MMLU Proknowledge
gemini-2.5-pro86.2%
gemini-3.7-flashN/A
Humanity's Last Examreasoning
gemini-2.5-pro22.5%
gemini-3.7-flash47.9%
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 | gemini-3.7-flash | |
|---|---|---|
| Input price / 1M | $1.25 | $1.50$0.75 |
| Output price / 1M | $10.00 | $7.50$3.75 |
| Context window | 1.0M tokens | 1.0M tokens |
| Max output | 66K tokens | 66K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Google LLC (Gemini API) | Google LLC (Vertex AI) |
Questions people ask
Is gemini-2.5-pro better than gemini-3.7-flash?
gemini-3.7-flash outperforms gemini-2.5-pro on 4 of 4 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-pro and gemini-3.7-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-pro or gemini-3.7-flash?
gemini-3.7-flash is cheaper. gemini-2.5-pro costs $1.25/$10.00 per 1M input/output tokens, while gemini-3.7-flash costs $0.75/$3.75. The prices shown are what you pay: gemini-3.7-flash runs at 50% off its list rate of $1.50 per 1M input and $7.50 per 1M output.
Can I use gemini-2.5-pro and gemini-3.7-flash through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-2.5-pro" and "vertex/gemini-3.7-flash", no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M tokens of context. gemini-3.7-flash 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 gemini-2.5-pro and gemini-3.7-flash with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.