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grok-4 vs gemini-2.5-pro

Side-by-side comparison of grok-4 and gemini-2.5-pro— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. grok-4 outperforms gemini-2.5-pro on 11 of 11 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
grok-441.5%
gemini-2.5-pro34.6%
Coding Indexcoding
grok-440.5%
gemini-2.5-pro32.0%
Math Indexmath
grok-492.7%
gemini-2.5-pro87.7%
GPQA Diamondreasoning
grok-487.7%
gemini-2.5-pro84.4%
AIME 2025math
grok-492.7%
gemini-2.5-pro87.7%
LiveCodeBenchcoding
grok-481.9%
gemini-2.5-pro80.1%
Terminal-Bench Hardagentic
grok-437.9%
gemini-2.5-pro26.5%
τ²-Benchagentic
grok-474.9%
gemini-2.5-pro54.1%
SciCodecoding
grok-445.7%
gemini-2.5-pro42.8%
MMLU Proknowledge
grok-486.6%
gemini-2.5-pro86.2%
Humanity's Last Examreasoning
grok-423.9%
gemini-2.5-pro21.1%

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

grok-4gemini-2.5-pro
Input price / 1M$3.00$1.25
Output price / 1M$15.00$10.00
Context window256K tokens1.0M tokens
Max output66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYes
Prompt cachingYesYes
Computer useYes
ProviderxAI Corp.Google LLC (Gemini API)

Questions people ask

Is grok-4 better than gemini-2.5-pro?
grok-4 outperforms gemini-2.5-pro on 11 of 11 shared benchmarks. See the benchmark comparison above for specifics — grok-4 and gemini-2.5-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — grok-4 or gemini-2.5-pro?
gemini-2.5-pro is cheaper. grok-4 costs $3.00/$15.00 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use grok-4 and gemini-2.5-pro through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "xai/grok-4" or "google/gemini-2.5-pro" — no other code changes needed.
What are the context windows?
grok-4 supports up to 256K tokens of context. gemini-2.5-pro supports up to 1.0M 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 grok-4 and gemini-2.5-pro with one line of code

Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.

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