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gpt-5 vs gemini-3.5-flash

Side-by-side comparison of gpt-5 and gemini-3.5-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.5-flash outperforms gpt-5 on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gpt-534.7%
gemini-3.5-flash50.2%
Coding Indexcoding
gpt-537.8%
gemini-3.5-flash70.1%
Math Indexmath
gpt-594.3%
gemini-3.5-flashN/A
GPQA Diamondreasoning
gpt-585.4%
gemini-3.5-flash92.2%
AIME 2025math
gpt-594.3%
gemini-3.5-flashN/A
LiveCodeBenchcoding
gpt-584.6%
gemini-3.5-flashN/A
Terminal-Bench Hardagentic
gpt-532.6%
gemini-3.5-flash40.9%
τ²-Benchagentic
gpt-584.8%
gemini-3.5-flash95.3%
SciCodecoding
gpt-542.9%
gemini-3.5-flash53.1%
MMLU Proknowledge
gpt-587.1%
gemini-3.5-flashN/A
Humanity's Last Examreasoning
gpt-526.5%
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

gpt-5gemini-3.5-flash
Input price / 1M$1.25$1.50
Output price / 1M$10.00$9.00
Context window400K tokens1.0M tokens
Max output128K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderOpenAI Inc.Google LLC (Vertex AI)

Questions people ask

Is gpt-5 better than gemini-3.5-flash?
gemini-3.5-flash outperforms gpt-5 on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics: gpt-5 and gemini-3.5-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5 or gemini-3.5-flash?
gemini-3.5-flash is cheaper. gpt-5 costs $1.25/$10.00 per 1M input/output tokens, while gemini-3.5-flash costs $1.50/$9.00.
Can I use gpt-5 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 "openai/gpt-5" and "vertex/gemini-3.5-flash", no other code changes needed.
What are the context windows?
gpt-5 supports up to 400K 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 gpt-5 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.