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gpt-4.1 vs gemini-3.8-flash

Side-by-side comparison of gpt-4.1 and gemini-3.8-flash: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.8-flash outperforms gpt-4.1 on 3 of 3 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gpt-4.113.2%
gemini-3.8-flash47.1%
Coding Indexcoding
gpt-4.1N/A
gemini-3.8-flash76.3%
Math Indexmath
gpt-4.134.7%
gemini-3.8-flashN/A
GPQA Diamondreasoning
gpt-4.166.6%
gemini-3.8-flash95.3%
AIME 2025math
gpt-4.134.7%
gemini-3.8-flashN/A
LiveCodeBenchcoding
gpt-4.145.7%
gemini-3.8-flashN/A
Terminal-Bench Hardagentic
gpt-4.113.6%
gemini-3.8-flashN/A
τ²-Benchagentic
gpt-4.147.1%
gemini-3.8-flashN/A
SciCodecoding
gpt-4.1N/A
gemini-3.8-flash56.6%
MMLU Proknowledge
gpt-4.180.6%
gemini-3.8-flashN/A
Humanity's Last Examreasoning
gpt-4.14.2%
gemini-3.8-flash47.8%

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-4.1gemini-3.8-flash
Input price / 1M$2.00$1.50$0.75
Output price / 1M$8.00$7.50$3.75
Context window1.0M tokens1.0M tokens
Max output33K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningN/AYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderOpenAI Inc.Google LLC (Vertex AI)

Questions people ask

Is gpt-4.1 better than gemini-3.8-flash?
gemini-3.8-flash outperforms gpt-4.1 on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: gpt-4.1 and gemini-3.8-flash have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-4.1 or gemini-3.8-flash?
gemini-3.8-flash is cheaper. gpt-4.1 costs $2.00/$8.00 per 1M input/output tokens, while gemini-3.8-flash costs $0.75/$3.75. The prices shown are what you pay: gemini-3.8-flash runs at 50% off its list rate of $1.50 per 1M input and $7.50 per 1M output.
Can I use gpt-4.1 and gemini-3.8-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-4.1" and "vertex/gemini-3.8-flash", no other code changes needed.
What are the context windows?
gpt-4.1 supports up to 1.0M tokens of context. gemini-3.8-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-4.1 and gemini-3.8-flash with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.