Head-to-head · frontier vs frontier

Gemini 3 Flash Reasoning vs GPT-4.1 Reasoning: which model should you choose?

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

Google DeepMind

Gemini 3 Flash Reasoning

Gemini 3 Flash Reasoning is a frontier model from Google DeepMind. It offers a 128,000-token context window, costs $17.05 per million input tokens and $66.77 per million output tokens, and averages 83.7 across the index's benchmark suite.

Input
$17.05 / 1M
Output
$66.77 / 1M
Context
128,000
Avg score
83.7
Open weights
No
Full Gemini 3 Flash Reasoning 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 3 Flash ReasoningGPT-4.1 ReasoningEdge
Input price / 1M$17.05$16.97B
Output price / 1M$66.77$82.05A
Context window128,0001,000,000B
Max output32,7684,096A
Average score83.783.8B
Arena Elo1446.91466.7B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Flash Reasoning wins 4, GPT-4.1 Reasoning wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Flash ReasoningGPT-4.1 ReasoningGapWinner
MMLU-Pro87.287.30.1GPT-4.1 Reasoning
GPQA Diamond81.877.84.0Gemini 3 Flash Reasoning
SWE-bench Verified72.573.10.6GPT-4.1 Reasoning
HumanEval86.988.81.9GPT-4.1 Reasoning
MATH-50086.289.12.9GPT-4.1 Reasoning
AIME 202579.482.12.7GPT-4.1 Reasoning
LiveCodeBench77.780.52.8GPT-4.1 Reasoning
IFEval90.291.61.4GPT-4.1 Reasoning
TruthfulQA86.684.32.3Gemini 3 Flash Reasoning
HellaSwag92.289.42.8Gemini 3 Flash Reasoning
MMMU79.877.52.3Gemini 3 Flash Reasoning
Arena Elo1446.91466.719.8GPT-4.1 Reasoning

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Flash Reasoning costs about $29.48 per million tokens and GPT-4.1 Reasoning costs about $33.24. Gemini 3 Flash Reasoning is roughly 11% cheaper than GPT-4.1 Reasoning. 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 128,000 for Gemini 3 Flash Reasoning. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Flash Reasoning wins 4, GPT-4.1 Reasoning wins 8, and 0 are tied. On the index average, GPT-4.1 Reasoning leads Gemini 3 Flash Reasoning by 0.1 points (83.8 versus 83.7).

The price picture favours Gemini 3 Flash 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 Gemini 3 Flash Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 3 Flash Reasoning if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 32,768-token output limit.

Choose GPT-4.1 Reasoning if

  • You want the higher average benchmark score in this index.
  • You need the larger 1,000,000-token context window.

FAQ

Is Gemini 3 Flash Reasoning better than GPT-4.1 Reasoning?

On the index average, GPT-4.1 Reasoning leads Gemini 3 Flash Reasoning by 0.1 points (83.8 versus 83.7). The better choice depends on price, context and your task. Gemini 3 Flash Reasoning wins 4 benchmarks, GPT-4.1 Reasoning wins 8.

Which is cheaper, Gemini 3 Flash Reasoning or GPT-4.1 Reasoning?

Gemini 3 Flash Reasoning is cheaper on a blended 3:1 basis at about $29.48 per million tokens, versus $33.24 for GPT-4.1 Reasoning.

Which has the larger context window?

GPT-4.1 Reasoning has the larger context window at 1,000,000 tokens. Gemini 3 Flash Reasoning has 128,000 tokens.

Are these models open weights?

Gemini 3 Flash Reasoning 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 Gemini 3 Flash Reasoning for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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