Head-to-head · frontier vs frontier

Gemini 2.5 Pro Max vs Grok 3 Pro: which model should you choose?

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

Google DeepMind

Gemini 2.5 Pro Max

Gemini 2.5 Pro Max is a frontier model from Google DeepMind. It offers a 200,000-token context window, costs $16.94 per million input tokens and $64.80 per million output tokens, and averages 84.8 across the index's benchmark suite.

Input
$16.94 / 1M
Output
$64.80 / 1M
Context
200,000
Avg score
84.8
Open weights
No
Full Gemini 2.5 Pro Max page
xAI

Grok 3 Pro

Grok 3 Pro is a frontier model from xAI. It offers a 400,000-token context window, costs $16.61 per million input tokens and $73.49 per million output tokens, and averages 83.8 across the index's benchmark suite.

Input
$16.61 / 1M
Output
$73.49 / 1M
Context
400,000
Avg score
83.8
Open weights
No
Full Grok 3 Pro page

Specification comparison

SpecGemini 2.5 Pro MaxGrok 3 ProEdge
Input price / 1M$16.94$16.61B
Output price / 1M$64.80$73.49A
Context window200,000400,000B
Max output65,5364,096A
Average score84.883.8A
Arena Elo1450.21448.4A
Open weightsNoNoTie

Benchmark comparison

Gemini 2.5 Pro Max wins 8, Grok 3 Pro wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 2.5 Pro MaxGrok 3 ProGapWinner
MMLU-Pro86.783.53.2Gemini 2.5 Pro Max
GPQA Diamond79.881.31.5Grok 3 Pro
SWE-bench Verified75.571.44.1Gemini 2.5 Pro Max
HumanEval87.089.92.9Grok 3 Pro
MATH-50091.687.04.6Gemini 2.5 Pro Max
AIME 202582.685.52.9Grok 3 Pro
LiveCodeBench79.980.70.8Grok 3 Pro
IFEval91.388.62.7Gemini 2.5 Pro Max
TruthfulQA85.584.60.9Gemini 2.5 Pro Max
HellaSwag92.990.72.2Gemini 2.5 Pro Max
MMMU79.778.90.8Gemini 2.5 Pro Max
Arena Elo1450.21448.41.8Gemini 2.5 Pro Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Max costs about $28.91 per million tokens and Grok 3 Pro costs about $30.83. Gemini 2.5 Pro Max is roughly 6% cheaper than Grok 3 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Grok 3 Pro has the larger context window at 400,000 tokens, compared with 200,000 for Gemini 2.5 Pro Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 2.5 Pro Max wins 8, Grok 3 Pro wins 4, and 0 are tied. On the index average, Gemini 2.5 Pro Max leads Grok 3 Pro by 1.0 points (84.8 versus 83.8).

The price picture favours Gemini 2.5 Pro Max. The context picture favours Grok 3 Pro. 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 2.5 Pro Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Gemini 2.5 Pro Max 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 65,536-token output limit.

Choose Grok 3 Pro if

  • You need the larger 400,000-token context window.

FAQ

Is Gemini 2.5 Pro Max better than Grok 3 Pro?

On the index average, Gemini 2.5 Pro Max leads Grok 3 Pro by 1.0 points (84.8 versus 83.8). The better choice depends on price, context and your task. Gemini 2.5 Pro Max wins 8 benchmarks, Grok 3 Pro wins 4.

Which is cheaper, Gemini 2.5 Pro Max or Grok 3 Pro?

Gemini 2.5 Pro Max is cheaper on a blended 3:1 basis at about $28.91 per million tokens, versus $30.83 for Grok 3 Pro.

Which has the larger context window?

Grok 3 Pro has the larger context window at 400,000 tokens. Gemini 2.5 Pro Max has 200,000 tokens.

Are these models open weights?

Gemini 2.5 Pro Max is proprietary; Grok 3 Pro is proprietary.

Which should I choose for production?

If you need a single default, start with Gemini 2.5 Pro Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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