Google Gemini 2.5 Flash-Lite VS xAI Grok 4.5
⚖️Our Take
These models use different coding evaluation benchmarks — with Gemini 2.5 Flash-Lite evaluated on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems) and Grok 4.5 on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) — but Grok 4.5 holds a clear reasoning advantage (+30.5% on GPQA Diamond). However, Gemini 2.5 Flash-Lite is a massive 17.1x cheaper to run. Choose Grok 4.5 for complex logic and reasoning tasks, or Gemini 2.5 Flash-Lite to optimize your budget for high-volume pipelines.
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Benchmarks & Scores
Coding (swe-bench-verified)
41.3%good at editing existing code, cross-file updates, and multi-component systems
Reasoning (gpqa-diamond)
62.5%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)17.1x cheaper
$0.17Input: $0.10 | Output: $0.40Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
64.7%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+30.5%)
93%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$3.00Input: $2.00 | Output: $6.00Context Window
500k tokensFrequently Asked Questions about Gemini 2.5 Flash-Lite vs Grok 4.5 comparison
Gemini 2.5 Flash-Lite is cheaper than Grok 4.5. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 17.1x cheaper than Grok 4.5 at $3.00/1M tokens.
For coding tasks, Gemini 2.5 Flash-Lite scores 41.3% on swe-bench-verified (good at editing existing code, cross-file updates, and multi-component systems), while Grok 4.5 scores 64.7% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).
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