Model Comparison

Gemini 2.0 Flash vs GPT-4.1 nano

Google vs OpenAI

At nearly the same price, Gemini 2.0 Flash outscores GPT-4.1 nano on benchmarks.

Data last updated March 4, 2026

Priced nearly the same, Gemini 2.0 Flash pulls ahead of GPT-4.1 nano on benchmarks. Gemini 2.0 Flash costs $0.0009 per request vs $0.0009 for GPT-4.1 nano (at 5K input / 1K output tokens).

Benchmarks & Performance

Metric Gemini 2.0 Flash GPT-4.1 nano
Intelligence Index 18.5 14.9
MMLU-Pro 0.8 0.7
GPQA 0.6 0.5
AIME 0.3 0.2
Context window 1,000,000 1,047,576

Pricing per 1M Tokens

List prices as published by the provider. Not adjusted for token efficiency.

Metric Gemini 2.0 Flash GPT-4.1 nano
Input price / 1M tokens $0.10 $0.10
Output price / 1M tokens $0.40 $0.40
Cache hit price / 1M tokens $0.02 $0.02

Intelligence vs Price

10 15 20 25 30 35 40 $0.001 $0.002 $0.005 $0.01 $0.02 $0.05 Typical request cost (5K input + 1K output) Intelligence Index Gemini 2.5 Pro DeepSeek R1 0528 GPT-4.1 GPT-4.1 mini Claude 4 Sonnet... Claude 4.5 Sonn... Gemini 2.5 Flas... Grok 3 mini Rea... Gemini 2.0 Flash GPT-4.1 nano
Gemini 2.0 Flash GPT-4.1 nano Other models

Value Analysis

Cost per IQ point based on a typical request of 5,000 input and 1,000 output tokens.

Cheaper (list price)

Tied

Higher Benchmarks

Gemini 2.0 Flash

Better Value ($/IQ point)

Gemini 2.0 Flash

Gemini 2.0 Flash

$0.000049 / IQ point

GPT-4.1 nano

$0.00006 / IQ point

Frequently Asked Questions

Do Gemini 2.0 Flash and GPT-4.1 nano cost the same?

Gemini 2.0 Flash and GPT-4.1 nano cost about the same per typical request. This comparison assumes a typical request of 5,000 input and 1,000 output tokens (5:1 ratio). Actual ratios vary by workload — chat and completion tasks typically run 2:1, code review around 3:1, document analysis and summarization 10:1 to 50:1, and embedding workloads are pure input with no output tokens.

How much does Gemini 2.0 Flash outperform GPT-4.1 nano on benchmarks?

Gemini 2.0 Flash scores higher overall (18.5 vs 14.9). Gemini 2.0 Flash leads on MMLU-Pro (0.78 vs 0.66), GPQA (0.62 vs 0.51), AIME (0.33 vs 0.24). If mathematical reasoning matters, Gemini 2.0 Flash's AIME score of 0.33 gives it an edge.

Which has a larger context window, Gemini 2.0 Flash or GPT-4.1 nano?

GPT-4.1 nano has a 5% larger context window at 1,047,576 tokens vs Gemini 2.0 Flash at 1,000,000 tokens. That's roughly 1,396 vs 1,333 pages of text. The extra context capacity in GPT-4.1 nano matters for document analysis and long conversations.

Which model is better value for money, Gemini 2.0 Flash or GPT-4.1 nano?

Gemini 2.0 Flash offers 24% better value at $0.000049 per intelligence point compared to GPT-4.1 nano at $0.00006. GPT-4.1 nano is cheaper, but Gemini 2.0 Flash's higher benchmark scores give it more intelligence per dollar. You don't sacrifice quality to save money with Gemini 2.0 Flash.

How does prompt caching affect Gemini 2.0 Flash and GPT-4.1 nano pricing?

With prompt caching, Gemini 2.0 Flash and GPT-4.1 nano cost about the same per request. Caching saves 42% on Gemini 2.0 Flash and 42% on GPT-4.1 nano compared to standard input prices. Both models benefit from caching at similar rates, so the uncached price comparison holds.

Pricing verified against official vendor documentation. Updated daily. See our methodology.

Related Comparisons

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