GPT-5.2 Vision vs Grok 4 Turbo: which model should you choose?
We compared GPT-5.2 Vision and Grok 4 Turbo on price, context window and 12 benchmarks. GPT-5.2 Vision has the stronger average benchmark score; GPT-5.2 Vision is cheaper on a blended 3:1 basis.
GPT-5.2 Vision
GPT-5.2 Vision is a frontier model from OpenAI. It offers a 1,000,000-token context window, costs $19.03 per million input tokens and $85.72 per million output tokens, and averages 87.4 across the index's benchmark suite.
- Input
- $19.03 / 1M
- Output
- $85.72 / 1M
- Context
- 1,000,000
- Avg score
- 87.4
- Open weights
- No
Grok 4 Turbo
Grok 4 Turbo is a frontier model from xAI. It offers a 1,000,000-token context window, costs $19.21 per million input tokens and $87.37 per million output tokens, and averages 86.7 across the index's benchmark suite.
- Input
- $19.21 / 1M
- Output
- $87.37 / 1M
- Context
- 1,000,000
- Avg score
- 86.7
- Open weights
- No
Specification comparison
| Spec | GPT-5.2 Vision | Grok 4 Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $19.03 | $19.21 | A |
| Output price / 1M | $85.72 | $87.37 | A |
| Context window | 1,000,000 | 1,000,000 | Tie |
| Max output | 16,384 | 65,536 | B |
| Average score | 87.4 | 86.7 | A |
| Arena Elo | 1484.3 | 1466.9 | A |
| Open weights | No | No | Tie |
Benchmark comparison
GPT-5.2 Vision wins 8, Grok 4 Turbo wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | GPT-5.2 Vision | Grok 4 Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 89.5 | 86.1 | 3.4 | GPT-5.2 Vision |
| GPQA Diamond | 82.1 | 84.5 | 2.4 | Grok 4 Turbo |
| SWE-bench Verified | 78.8 | 73.8 | 5.0 | GPT-5.2 Vision |
| HumanEval | 91.2 | 92.9 | 1.7 | Grok 4 Turbo |
| MATH-500 | 92.9 | 92.1 | 0.8 | GPT-5.2 Vision |
| AIME 2025 | 85.7 | 85.2 | 0.5 | GPT-5.2 Vision |
| LiveCodeBench | 83.4 | 84.7 | 1.3 | Grok 4 Turbo |
| IFEval | 93.9 | 91.1 | 2.8 | GPT-5.2 Vision |
| TruthfulQA | 85.3 | 88.8 | 3.5 | Grok 4 Turbo |
| HellaSwag | 94.6 | 92.5 | 2.1 | GPT-5.2 Vision |
| MMMU | 84.4 | 81.7 | 2.7 | GPT-5.2 Vision |
| Arena Elo | 1484.3 | 1466.9 | 17.4 | GPT-5.2 Vision |
Price analysis
On a blended 3:1 input-to-output basis, GPT-5.2 Vision costs about $35.70 per million tokens and Grok 4 Turbo costs about $36.25. GPT-5.2 Vision is roughly 2% cheaper than Grok 4 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 1,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, GPT-5.2 Vision wins 8, Grok 4 Turbo wins 4, and 0 are tied. On the index average, GPT-5.2 Vision leads Grok 4 Turbo by 0.7 points (87.4 versus 86.7).
The price picture favours GPT-5.2 Vision. The context picture is effectively a tie. 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-5.2 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose GPT-5.2 Vision if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
Choose Grok 4 Turbo if
- You need the larger 65,536-token output limit.
FAQ
Is GPT-5.2 Vision better than Grok 4 Turbo?
On the index average, GPT-5.2 Vision leads Grok 4 Turbo by 0.7 points (87.4 versus 86.7). The better choice depends on price, context and your task. GPT-5.2 Vision wins 8 benchmarks, Grok 4 Turbo wins 4.
Which is cheaper, GPT-5.2 Vision or Grok 4 Turbo?
GPT-5.2 Vision is cheaper on a blended 3:1 basis at about $35.70 per million tokens, versus $36.25 for Grok 4 Turbo.
Which has the larger context window?
Both models list a 1,000,000-token context window.
Are these models open weights?
GPT-5.2 Vision is proprietary; Grok 4 Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with GPT-5.2 Vision for quality-sensitive work, and check whether its price holds at your expected volume before committing.