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gemini-2.5-flash vs grok-4

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

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash27.0%
grok-441.5%
Coding Indexcoding
gemini-2.5-flash22.2%
grok-440.5%
Math Indexmath
gemini-2.5-flash73.3%
grok-492.7%
GPQA Diamondreasoning
gemini-2.5-flash79.0%
grok-487.7%
AIME 2025math
gemini-2.5-flash73.3%
grok-492.7%
LiveCodeBenchcoding
gemini-2.5-flash69.5%
grok-481.9%
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
grok-437.9%
τ²-Benchagentic
gemini-2.5-flash31.6%
grok-474.9%
SciCodecoding
gemini-2.5-flash39.4%
grok-445.7%
MMLU Proknowledge
gemini-2.5-flash83.2%
grok-486.6%
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
grok-423.9%

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-2.5-flashgrok-4
Input price / 1M$0.30$3.00
Output price / 1M$2.50$15.00
Context window1.0M tokens256K tokens
Max output66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYes
Prompt cachingYesYes
Computer useYes
ProviderGoogle LLC (Gemini API)xAI Corp.

Questions people ask

Is gemini-2.5-flash better than grok-4?
grok-4 outperforms gemini-2.5-flash on 11 of 11 shared benchmarks. See the benchmark comparison above for specifics — gemini-2.5-flash and grok-4 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gemini-2.5-flash or grok-4?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while grok-4 costs $3.00/$15.00.
Can I use gemini-2.5-flash 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 — "google/gemini-2.5-flash" or "xai/grok-4" — no other code changes needed.
What are the context windows?
gemini-2.5-flash 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-2.5-flash and grok-4 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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