Head-to-head · frontier vs frontier

Gemini 3 Pro Pro vs Grok 4 Max: which model should you choose?

We compared Gemini 3 Pro Pro and Grok 4 Max on price, context window and 12 benchmarks. Gemini 3 Pro Pro has the stronger average benchmark score; Grok 4 Max is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 3 Pro Pro

Gemini 3 Pro Pro is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $19.80 per million input tokens and $108.61 per million output tokens, and averages 87.3 across the index's benchmark suite.

Input
$19.80 / 1M
Output
$108.61 / 1M
Context
200,000
Avg score
87.3
Open weights
No
Full Gemini 3 Pro Pro page
xAI

Grok 4 Max

Grok 4 Max is a frontier model from xAI. It offers a 2,000,000-token context window, costs $19.70 per million input tokens and $98.29 per million output tokens, and averages 86.6 across the index's benchmark suite.

Input
$19.70 / 1M
Output
$98.29 / 1M
Context
2,000,000
Avg score
86.6
Open weights
No
Full Grok 4 Max page

Specification comparison

SpecGemini 3 Pro ProGrok 4 MaxEdge
Input price / 1M$19.80$19.70B
Output price / 1M$108.61$98.29B
Context window200,0002,000,000B
Max output8,19216,384B
Average score87.386.6A
Arena Elo1484.41491.4B
Open weightsNoNoTie

Benchmark comparison

Gemini 3 Pro Pro wins 8, Grok 4 Max wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 Pro ProGrok 4 MaxGapWinner
MMLU-Pro88.287.80.4Gemini 3 Pro Pro
GPQA Diamond81.482.00.6Grok 4 Max
SWE-bench Verified75.774.31.4Gemini 3 Pro Pro
HumanEval95.093.41.6Gemini 3 Pro Pro
MATH-50091.694.63.0Grok 4 Max
AIME 202588.087.30.7Gemini 3 Pro Pro
LiveCodeBench83.181.31.8Gemini 3 Pro Pro
IFEval92.792.50.2Gemini 3 Pro Pro
TruthfulQA87.685.81.8Gemini 3 Pro Pro
HellaSwag93.694.10.5Grok 4 Max
MMMU83.280.03.2Gemini 3 Pro Pro
Arena Elo1484.41491.47.0Grok 4 Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Pro Pro costs about $42.00 per million tokens and Grok 4 Max costs about $39.35. Grok 4 Max is roughly 6% cheaper than Gemini 3 Pro Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Grok 4 Max has the larger context window at 2,000,000 tokens, compared with 200,000 for Gemini 3 Pro Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Pro Pro wins 8, Grok 4 Max wins 4, and 0 are tied. On the index average, Gemini 3 Pro Pro leads Grok 4 Max by 0.7 points (87.3 versus 86.6).

The price picture favours Grok 4 Max. The context picture favours Grok 4 Max. 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 Gemini 3 Pro Pro for quality-sensitive work and Grok 4 Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 3 Pro Pro if

  • You want the higher average benchmark score in this index.

Choose Grok 4 Max if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 2,000,000-token context window.
  • You need the larger 16,384-token output limit.

FAQ

Is Gemini 3 Pro Pro better than Grok 4 Max?

On the index average, Gemini 3 Pro Pro leads Grok 4 Max by 0.7 points (87.3 versus 86.6). The better choice depends on price, context and your task. Gemini 3 Pro Pro wins 8 benchmarks, Grok 4 Max wins 4.

Which is cheaper, Gemini 3 Pro Pro or Grok 4 Max?

Grok 4 Max is cheaper on a blended 3:1 basis at about $39.35 per million tokens, versus $42.00 for Gemini 3 Pro Pro.

Which has the larger context window?

Grok 4 Max has the larger context window at 2,000,000 tokens. Gemini 3 Pro Pro has 200,000 tokens.

Are these models open weights?

Gemini 3 Pro Pro is proprietary; Grok 4 Max is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 3 Pro Pro for quality-sensitive work and Grok 4 Max for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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