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gemini-3.1-pro-preview vs grok-4

Side-by-side comparison of gemini-3.1-pro-preview and grok-4: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gemini-3.1-pro-preview outperforms grok-4 on 5 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-3.1-pro-preview36.7%
grok-426.5%
Coding Indexcoding
gemini-3.1-pro-preview68.8%
grok-4N/A
Math Indexmath
gemini-3.1-pro-previewN/A
grok-492.7%
GPQA Diamondreasoning
gemini-3.1-pro-preview94.1%
grok-487.7%
AIME 2025math
gemini-3.1-pro-previewN/A
grok-492.7%
LiveCodeBenchcoding
gemini-3.1-pro-previewN/A
grok-481.9%
Terminal-Bench Hardagentic
gemini-3.1-pro-preview53.8%
grok-437.9%
τ²-Benchagentic
gemini-3.1-pro-preview95.6%
grok-474.9%
SciCodecoding
gemini-3.1-pro-preview58.7%
grok-4N/A
MMLU Proknowledge
gemini-3.1-pro-previewN/A
grok-486.6%
Humanity's Last Examreasoning
gemini-3.1-pro-preview47.0%
grok-426.7%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

gemini-3.1-pro-previewgrok-4
Input price / 1M$2.00$3.00
Output price / 1M$12.00$15.00
Context window1.0M tokens256K tokens
Max output66K tokensN/A
Vision inputYesYes
Tool callingYesYes
ReasoningYesN/A
Prompt cachingYesYes
Computer useN/AYes
ProviderGoogle LLC (Gemini API)xAI Corp.

Questions people ask

Is gemini-3.1-pro-preview better than grok-4?
gemini-3.1-pro-preview outperforms grok-4 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: gemini-3.1-pro-preview and grok-4 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-3.1-pro-preview or grok-4?
gemini-3.1-pro-preview is cheaper. gemini-3.1-pro-preview costs $2.00/$12.00 per 1M input/output tokens, while grok-4 costs $3.00/$15.00.
Can I use gemini-3.1-pro-preview and grok-4 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "google/gemini-3.1-pro-preview" and "xai/grok-4", no other code changes needed.
What are the context windows?
gemini-3.1-pro-preview supports up to 1.0M tokens of context. grok-4 supports up to 256K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between gemini-3.1-pro-preview and grok-4 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.