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gemini-2.5-flash vs gpt-5.5

Side-by-side comparison of gemini-2.5-flash and gpt-5.5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.5 outperforms gemini-2.5-flash on 6 of 6 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash20.1%
gpt-5.554.8%
Coding Indexcoding
gemini-2.5-flashN/A
gpt-5.574.9%
Math Indexmath
gemini-2.5-flash73.3%
gpt-5.5N/A
GPQA Diamondreasoning
gemini-2.5-flash79.0%
gpt-5.593.5%
AIME 2025math
gemini-2.5-flash73.3%
gpt-5.5N/A
LiveCodeBenchcoding
gemini-2.5-flash69.5%
gpt-5.5N/A
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
gpt-5.560.6%
τ²-Benchagentic
gemini-2.5-flash31.6%
gpt-5.593.9%
SciCodecoding
gemini-2.5-flash39.4%
gpt-5.556.1%
MMLU Proknowledge
gemini-2.5-flash83.2%
gpt-5.5N/A
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
gpt-5.544.3%

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-flashgpt-5.5
Input price / 1M$0.30$5.00
Output price / 1M$2.50$30.00
Context window1.0M tokens1.1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle LLC (Gemini API)OpenAI Inc.

Questions people ask

Is gemini-2.5-flash better than gpt-5.5?
gpt-5.5 outperforms gemini-2.5-flash on 6 of 6 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and gpt-5.5 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or gpt-5.5?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while gpt-5.5 costs $5.00/$30.00.
Can I use gemini-2.5-flash and gpt-5.5 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 "openai/gpt-5.5", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. gpt-5.5 supports up to 1.1M 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 gpt-5.5 with one line of code

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