Which Model Is the Best Non-Thinking Fast Model? Gemini 2.5 Flash Lite vs Gemini 2.0 Flash

By Joe @ SimpleMetrics
Published 18 June, 2025
Updated 18 June, 2025
Which Model Is the Best Non-Thinking Fast Model? Gemini 2.5 Flash Lite vs Gemini 2.0 Flash

Table of Contents

Thinking model is smarter but slow. For speed, that’s where non-thinking model shines. Google announces that in Gemini 2.5, both Flash and Pro will be thinking model while only Flash-Lite would be a non-thinking model. Let’s see which one is the better choice in terms of performance benchmarks and pricing.

1. Performance Benchmarks (Non-Thinking Model)

Capability Benchmark Gemini 2.5 Flash-Lite (Non-Thinking) Gemini 2.0 Flash Winner
General Reasoning MMLU-Pro 71.6% 77.6% 2.0 Flash
Scientific QA GPQA Diamond 64.6% 60.1% 2.5 Lite
Math AIME 2025 49.8% 63.5% (HiddenMath) 2.0 Flash
Code (Python) LiveCodeBench 33.7% 34.5% 2.0 Flash
Code Editing Aider Polyglot 26.7% ~25% (est.) 2.5 Lite
SWE-bench (Agentic Coding) SWE Verified 42.6% ~34.5% (est.) 2.5 Lite
Factual QA (Simple) SimpleQA 10.7% 29.9% 2.0 Flash
Factual QA (Grounded) FACTS Grounding 84.1% 84.6% 2.0 Flash
Multilingual QA Global MMLU (Lite) 81.1% 83.4% 2.0 Flash
Image Reasoning MMMU 72.9% 71.7% 2.5 Lite
Long-Context Memory MRCR (1M) 4.1% 70.5% 2.0 Flash

Sources: Gemini 2.0 Benchmark, Gemini 2.5 Benchmark

  • Gemini 2.0 Flash wins 7 out of 11 benchmarks , excelling in general reasoning, math, Python coding, factual QA (simple and grounded), multilingual understanding, and long-context memory.
  • Gemini 2.5 Flash-Lite wins 4 out of 11 benchmarks , leading in scientific QA, code editing, agentic coding, and image reasoning.

2. Pricing

Model Input (1M tokens) Output (1M tokens)
Gemini 2.0 Flash $0.15 $0.60
Gemini 2.5 Flash-Lite $0.10 $0.40

Source: Gemini Pricing

2.5 Flash-Lite is ~33% cheaper than 2.0 Flash, which is good for high-volume users who do not need long-context.

3. Conclusion

  • 2.5 Flash-Lite is the cheaper and best for short-form, single-shot tasks.
  • 2.0 Flash remains the most balanced non-thinking model for comprehensive performance across a variety of domains.

4. Sources

Found this useful? Share it!

If this helped you, I'd appreciate you sharing it with colleagues.

Was this page helpful?

Your feedback helps improve this content.

Related Posts