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

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