Gemini 3 Pro vs Grok 4: which model should you choose?
We compared Gemini 3 Pro and Grok 4 on price, context window and 12 benchmarks. Grok 4 has the stronger average benchmark score; Gemini 3 Pro is cheaper on a blended 3:1 basis.
Gemini 3 Pro
Gemini 3 Pro is a frontier model from Google DeepMind. It offers a 2,000,000-token context window, costs $18.24 per million input tokens and $82.93 per million output tokens, and averages 86.1 across the index's benchmark suite.
- Input
- $18.24 / 1M
- Output
- $82.93 / 1M
- Context
- 2,000,000
- Avg score
- 86.1
- Open weights
- No
Grok 4
Grok 4 is a frontier model from xAI. It offers a 200,000-token context window, costs $17.90 per million input tokens and $84.75 per million output tokens, and averages 86.5 across the index's benchmark suite.
- Input
- $17.90 / 1M
- Output
- $84.75 / 1M
- Context
- 200,000
- Avg score
- 86.5
- Open weights
- No
Specification comparison
| Spec | Gemini 3 Pro | Grok 4 | Edge |
|---|---|---|---|
| Input price / 1M | $18.24 | $17.90 | B |
| Output price / 1M | $82.93 | $84.75 | A |
| Context window | 2,000,000 | 200,000 | A |
| Max output | 8,192 | 32,768 | B |
| Average score | 86.1 | 86.5 | B |
| Arena Elo | 1460.7 | 1457.8 | A |
| Open weights | No | No | Tie |
Benchmark comparison
Gemini 3 Pro wins 7, Grok 4 wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 3 Pro | Grok 4 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 88.2 | 87.8 | 0.4 | Gemini 3 Pro |
| GPQA Diamond | 79.0 | 82.6 | 3.6 | Grok 4 |
| SWE-bench Verified | 78.5 | 77.9 | 0.6 | Gemini 3 Pro |
| HumanEval | 91.8 | 92.0 | 0.2 | Grok 4 |
| MATH-500 | 89.9 | 90.8 | 0.9 | Grok 4 |
| AIME 2025 | 84.3 | 82.2 | 2.1 | Gemini 3 Pro |
| LiveCodeBench | 83.3 | 82.2 | 1.1 | Gemini 3 Pro |
| IFEval | 93.7 | 91.6 | 2.1 | Gemini 3 Pro |
| TruthfulQA | 88.8 | 87.6 | 1.2 | Gemini 3 Pro |
| HellaSwag | 91.3 | 93.9 | 2.6 | Grok 4 |
| MMMU | 78.6 | 82.9 | 4.3 | Grok 4 |
| Arena Elo | 1460.7 | 1457.8 | 2.9 | Gemini 3 Pro |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 3 Pro costs about $34.41 per million tokens and Grok 4 costs about $34.61. Gemini 3 Pro is roughly 1% cheaper than Grok 4. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Gemini 3 Pro has the larger context window at 2,000,000 tokens, compared with 200,000 for Grok 4. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 3 Pro wins 7, Grok 4 wins 5, and 0 are tied. On the index average, Grok 4 leads Gemini 3 Pro by 0.4 points (86.5 versus 86.1).
The price picture favours Gemini 3 Pro. The context picture favours Gemini 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 Grok 4 for quality-sensitive work and Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 3 Pro if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 2,000,000-token context window.
Choose Grok 4 if
- You want the higher average benchmark score in this index.
- You need the larger 32,768-token output limit.
FAQ
Is Gemini 3 Pro better than Grok 4?
On the index average, Grok 4 leads Gemini 3 Pro by 0.4 points (86.5 versus 86.1). The better choice depends on price, context and your task. Gemini 3 Pro wins 7 benchmarks, Grok 4 wins 5.
Which is cheaper, Gemini 3 Pro or Grok 4?
Gemini 3 Pro is cheaper on a blended 3:1 basis at about $34.41 per million tokens, versus $34.61 for Grok 4.
Which has the larger context window?
Gemini 3 Pro has the larger context window at 2,000,000 tokens. Grok 4 has 200,000 tokens.
Are these models open weights?
Gemini 3 Pro is proprietary; Grok 4 is proprietary.
Which should I choose for production?
If you need a single default, start with Grok 4 for quality-sensitive work and Gemini 3 Pro for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.