Head-to-head · frontier vs frontier

Gemini 2.5 Pro Pro vs GPT-4.1 Reasoning: which model should you choose?

We compared Gemini 2.5 Pro Pro and GPT-4.1 Reasoning on price, context window and 12 benchmarks. GPT-4.1 Reasoning has the stronger average benchmark score; GPT-4.1 Reasoning is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 2.5 Pro Pro

Gemini 2.5 Pro Pro is a frontier model from Google DeepMind. It offers a 400,000-token context window, costs $17.16 per million input tokens and $90.89 per million output tokens, and averages 83.6 across the index's benchmark suite.

Input
$17.16 / 1M
Output
$90.89 / 1M
Context
400,000
Avg score
83.6
Open weights
No
Full Gemini 2.5 Pro Pro page
OpenAI

GPT-4.1 Reasoning

GPT-4.1 Reasoning is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $16.97 per million input tokens and $82.05 per million output tokens, and averages 83.8 across the index's benchmark suite.

Input
$16.97 / 1M
Output
$82.05 / 1M
Context
1,000,000
Avg score
83.8
Open weights
No
Full GPT-4.1 Reasoning page

Specification comparison

SpecGemini 2.5 Pro ProGPT-4.1 ReasoningEdge
Input price / 1M$17.16$16.97B
Output price / 1M$90.89$82.05B
Context window400,0001,000,000B
Max output8,1924,096A
Average score83.683.8B
Arena Elo1460.21466.7B
Open weightsNoNoTie

Benchmark comparison

Gemini 2.5 Pro Pro wins 6, GPT-4.1 Reasoning wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 2.5 Pro ProGPT-4.1 ReasoningGapWinner
MMLU-Pro85.287.32.1GPT-4.1 Reasoning
GPQA Diamond81.677.83.8Gemini 2.5 Pro Pro
SWE-bench Verified72.173.11.0GPT-4.1 Reasoning
HumanEval88.488.80.4GPT-4.1 Reasoning
MATH-50086.889.12.3GPT-4.1 Reasoning
AIME 202583.382.11.2Gemini 2.5 Pro Pro
LiveCodeBench76.580.54.0GPT-4.1 Reasoning
IFEval92.091.60.4Gemini 2.5 Pro Pro
TruthfulQA85.584.31.2Gemini 2.5 Pro Pro
HellaSwag90.689.41.2Gemini 2.5 Pro Pro
MMMU78.177.50.6Gemini 2.5 Pro Pro
Arena Elo1460.21466.76.5GPT-4.1 Reasoning

Price analysis

On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Pro costs about $35.59 per million tokens and GPT-4.1 Reasoning costs about $33.24. GPT-4.1 Reasoning is roughly 7% cheaper than Gemini 2.5 Pro Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

GPT-4.1 Reasoning has the larger context window at 1,000,000 tokens, compared with 400,000 for Gemini 2.5 Pro Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 2.5 Pro Pro wins 6, GPT-4.1 Reasoning wins 6, and 0 are tied. On the index average, GPT-4.1 Reasoning leads Gemini 2.5 Pro Pro by 0.2 points (83.8 versus 83.6).

The price picture favours GPT-4.1 Reasoning. The context picture favours GPT-4.1 Reasoning. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with GPT-4.1 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 2.5 Pro Pro if

  • You need the larger 8,192-token output limit.

Choose GPT-4.1 Reasoning if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 1,000,000-token context window.

FAQ

Is Gemini 2.5 Pro Pro better than GPT-4.1 Reasoning?

On the index average, GPT-4.1 Reasoning leads Gemini 2.5 Pro Pro by 0.2 points (83.8 versus 83.6). The better choice depends on price, context and your task. Gemini 2.5 Pro Pro wins 6 benchmarks, GPT-4.1 Reasoning wins 6.

Which is cheaper, Gemini 2.5 Pro Pro or GPT-4.1 Reasoning?

GPT-4.1 Reasoning is cheaper on a blended 3:1 basis at about $33.24 per million tokens, versus $35.59 for Gemini 2.5 Pro Pro.

Which has the larger context window?

GPT-4.1 Reasoning has the larger context window at 1,000,000 tokens. Gemini 2.5 Pro Pro has 400,000 tokens.

Are these models open weights?

Gemini 2.5 Pro Pro is proprietary; GPT-4.1 Reasoning is proprietary.

Which should I choose for production?

If you need a single default, start with GPT-4.1 Reasoning for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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