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Gemini 3.5 Flash Lite vs GPT-4.1 Nano (batch)

Signal-by-Signal Comparison
SignalGemini 3.5 Flash LiteDeltaGPT-4.1 Nano (batch)
Capabilities
100
+17
83
Benchmarks
75
+4
70
Pricing
98
-2
100
Context window size
96
--
96
Recency
100
+55
45
Output Capacity
80
+5
75
Overall Result
4 wins
of 6
1 wins
Gemini 3.5 Flash Lite wins 4 of 6 signals

Score History

Score History (3 data points)
Gemini 3.5 Flash LiteGPT-4.1 Nano (batch)
Gemini 3.5 Flash Lite

76.9

current score

Leader

Gemini 3.5 Flash Lite

right now

GPT-4.1 Nano (batch)

58.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Gemini 3.5 Flash Lite

Google

Per request$0.001550
Daily$5.17
Monthly$155.00
Annual$1860.00

GPT-4.1 Nano (batch)

OpenAI

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

GPT-4.1 Nano (batch) saves you $140.00/month

That's $1680.00/year compared to Gemini 3.5 Flash Lite at your current usage level of 100K calls/month.

90% cheaper
Choose GPT-4.1 Nano (batch) for cost optimization

Gemini 3.5 Flash Lite pricing:
Input:$0.30/M tokens
Output:$2.50/M tokens
GPT-4.1 Nano (batch) pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
Winner
Gemini 3.5 Flash Lite

Google

77

Composite Score

GPT-4.1 Nano (batch)

OpenAI

59

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.5 Flash LiteGPT-4.1 Nano (batch)Winner
Overall Score
77
59
Gemini 3.5 Flash Lite
Rank#112#211
Gemini 3.5 Flash Lite
Quality Rank#112#211
Gemini 3.5 Flash Lite
Adoption Rank#112#211
Gemini 3.5 Flash Lite
Parameters------
Context Window1049K1048K
Gemini 3.5 Flash Lite
Pricing$0.30/$2.50/M$0.05/$0.20/M--
Signal Scores
Capabilities
100
83
Gemini 3.5 Flash Lite
Benchmarks
75
70
Gemini 3.5 Flash Lite
Pricing
98
100
GPT-4.1 Nano (batch)
Context window size
96
96
Gemini 3.5 Flash Lite
Recency
100
45
Gemini 3.5 Flash Lite
Output Capacity
80
75
Gemini 3.5 Flash Lite
Benchmark Head-to-Head(12 benchmarks)
Gemini 3.5: 1GPT-4.1 Nano: 0
Gemini 3.5
GPT-4.1 Nano
Normalized 0-100%
MMLU
-89.2%
MMLU-Pro
-81.8%
GPQA Diamond
-56%
MATH-500
-78.5%
HumanEval
-91.5%
SWE-bench Verified
-54.6%
IFEval
-88.2%
BBH
-84%
Arena Elo
14591300
LiveBench
-64.5%
HLE
-5.4%
BigCodeBench
-31.8%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Gemini 3.5 Flash LiteStrong Performer

Scores 77/100 (rank #112), placing it in the top 62% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-4.1 Nano (batch)Competitive

Scores 59/100 (rank #211), placing it in the top 28% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Gemini 3.5 Flash Lite has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 3.5 Flash Lite when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-4.1 Nano (batch) when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Gemini 3.5 Flash Lite
Input cost$0.30/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.036
Est. monthly (1M tokens/day)$42.00
GPT-4.1 Nano (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.004
Est. monthly (1M tokens/day)$3.75

GPT-4.1 Nano (batch) offers 91% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with GPT-4.1 Nano (batch) vs $42.00/month with Gemini 3.5 Flash Lite - a $38.25 monthly difference.

Latency & Speed
Gemini 3.5 Flash LiteFaster
Speed score0/100
GPT-4.1 Nano (batch)
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Gemini 3.5 Flash Lite

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4.1 Nano (batch) also offers lower per-token costs for high-volume support

Gemini 3.5 Flash Lite

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Gemini 3.5 Flash Lite

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

GPT-4.1 Nano (batch)

Creative writing & content

Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content

Gemini 3.5 Flash Lite

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Gemini 3.5 Flash Lite
Which Should You Choose?
Our recommendation:
Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite clearly outperforms GPT-4.1 Nano (batch) with a significant 18.000000000000007-point lead. For most general use cases, Gemini 3.5 Flash Lite is the stronger choice. However, GPT-4.1 Nano (batch) may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

  • Choose for Cost - 91% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.5 Flash LiteGPT-4.1 Nano (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 3.5 Flash Lite

Google

$3.54
estimated monthly cost

GPT-4.1 Nano (batch)

OpenAI

Best Value
$0.3300
estimated monthly cost

GPT-4.1 Nano (batch) saves you $3.21/month

That's 91% cheaper than Gemini 3.5 Flash Lite at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterGemini 3.5 Flash LiteGPT-4.1 Nano (batch)
Context Window1.0M1.0M
Max Output Tokens65,53632,768
Open SourceNoNo
CreatedJul 21, 2026Apr 14, 2025
Last updated: 34m ago

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