Head-to-head · frontier vs frontier

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

We compared Gemini 2.5 Pro Pro and Grok 3 Max on price, context window and 12 benchmarks. Grok 3 Max has the stronger average benchmark score; Grok 3 Max 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
xAI

Grok 3 Max

Grok 3 Max is a frontier model from xAI. It offers a 2,000,000-token context window, costs $17.66 per million input tokens and $89.12 per million output tokens, and averages 85.9 across the index's benchmark suite.

Input
$17.66 / 1M
Output
$89.12 / 1M
Context
2,000,000
Avg score
85.9
Open weights
No
Full Grok 3 Max page

Specification comparison

SpecGemini 2.5 Pro ProGrok 3 MaxEdge
Input price / 1M$17.16$17.66A
Output price / 1M$90.89$89.12B
Context window400,0002,000,000B
Max output8,19232,768B
Average score83.685.9B
Arena Elo1460.21475.8B
Open weightsNoNoTie

Benchmark comparison

Gemini 2.5 Pro Pro wins 1, Grok 3 Max wins 11, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 2.5 Pro ProGrok 3 MaxGapWinner
MMLU-Pro85.287.32.1Grok 3 Max
GPQA Diamond81.680.90.7Gemini 2.5 Pro Pro
SWE-bench Verified72.173.61.5Grok 3 Max
HumanEval88.491.93.5Grok 3 Max
MATH-50086.891.95.1Grok 3 Max
AIME 202583.386.63.3Grok 3 Max
LiveCodeBench76.579.73.2Grok 3 Max
IFEval92.092.60.6Grok 3 Max
TruthfulQA85.586.71.2Grok 3 Max
HellaSwag90.691.81.2Grok 3 Max
MMMU78.182.34.2Grok 3 Max
Arena Elo1460.21475.815.6Grok 3 Max

Price analysis

On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Pro costs about $35.59 per million tokens and Grok 3 Max costs about $35.53. Grok 3 Max is roughly 0% 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.

Grok 3 Max has the larger context window at 2,000,000 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 1, Grok 3 Max wins 11, and 0 are tied. On the index average, Grok 3 Max leads Gemini 2.5 Pro Pro by 2.3 points (85.9 versus 83.6).

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

Choose Gemini 2.5 Pro Pro if

  • You prefer Google DeepMind's tooling or already use it.

Choose Grok 3 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 2,000,000-token context window.
  • You need the larger 32,768-token output limit.

FAQ

Is Gemini 2.5 Pro Pro better than Grok 3 Max?

On the index average, Grok 3 Max leads Gemini 2.5 Pro Pro by 2.3 points (85.9 versus 83.6). The better choice depends on price, context and your task. Gemini 2.5 Pro Pro wins 1 benchmarks, Grok 3 Max wins 11.

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

Grok 3 Max is cheaper on a blended 3:1 basis at about $35.53 per million tokens, versus $35.59 for Gemini 2.5 Pro Pro.

Which has the larger context window?

Grok 3 Max has the larger context window at 2,000,000 tokens. Gemini 2.5 Pro Pro has 400,000 tokens.

Are these models open weights?

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

Which should I choose for production?

If you need a single default, start with Grok 3 Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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