Requesty

gemini-2.5-flash vs gemini-3.5-flash

Side-by-side comparison of gemini-2.5-flash and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.5-flash outperforms gemini-2.5-flash on 6 of 6 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash20.1%
gemini-3.5-flash50.2%
Coding Indexcoding
gemini-2.5-flashN/A
gemini-3.5-flash70.1%
Math Indexmath
gemini-2.5-flash73.3%
gemini-3.5-flashN/A
GPQA Diamondreasoning
gemini-2.5-flash79.0%
gemini-3.5-flash92.2%
AIME 2025math
gemini-2.5-flash73.3%
gemini-3.5-flashN/A
LiveCodeBenchcoding
gemini-2.5-flash69.5%
gemini-3.5-flashN/A
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
gemini-3.5-flash40.9%
τ²-Benchagentic
gemini-2.5-flash31.6%
gemini-3.5-flash95.3%
SciCodecoding
gemini-2.5-flash39.4%
gemini-3.5-flash53.1%
MMLU Proknowledge
gemini-2.5-flash83.2%
gemini-3.5-flashN/A
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
gemini-3.5-flash41.0%

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-flashgemini-3.5-flash
Input price / 1M$0.30$1.50
Output price / 1M$2.50$9.00
Context window1.0M tokens1.0M tokens
Max output66K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle LLC (Gemini API)Google LLC (Vertex AI)

Questions people ask

Is gemini-2.5-flash better than gemini-3.5-flash?
gemini-3.5-flash outperforms gemini-2.5-flash on 6 of 6 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and gemini-3.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or gemini-3.5-flash?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use gemini-2.5-flash and gemini-3.5-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-flash" and "vertex/gemini-3.5-flash", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. gemini-3.5-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-flash and gemini-3.5-flash with one line of code

Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.