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Gemini 2.5 Flash Lite vs GPT-5 Nano (batch)

Signal-by-Signal Comparison
SignalGemini 2.5 Flash LiteDeltaGPT-5 Nano (batch)
Capabilities
100
--
100
Benchmarks
81
-7
88
Pricing
100
0
100
Context window size
96
+7
89
Recency
63
-3
66
Output Capacity
80
-5
85
Overall Result
1 wins
of 6
4 wins
GPT-5 Nano (batch) wins 4 of 6 signals

Score History

Score History (25 data points)
Gemini 2.5 Flash LiteGPT-5 Nano (batch)
Gemini 2.5 Flash Lite

79.1

current score

Leader

Gemini 2.5 Flash Lite

right now

GPT-5 Nano (batch)

76.8

current score

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

Gemini 2.5 Flash Lite

Google

Per request$0.000300
Daily$1.00
Monthly$30.00
Annual$360.00

GPT-5 Nano (batch)

OpenAI

Best Value
Per request$0.000125
Daily$0.42
Monthly$12.50
Annual$150.00

GPT-5 Nano (batch) saves you $17.50/month

That's $210.00/year compared to Gemini 2.5 Flash Lite at your current usage level of 100K calls/month.

58% cheaper
Choose GPT-5 Nano (batch) for cost optimization

Gemini 2.5 Flash Lite pricing:
Input:$0.10/M tokens
Output:$0.40/M tokens
GPT-5 Nano (batch) pricing:
Input:$0.02/M tokens
Output:$0.20/M tokens
Winner
Gemini 2.5 Flash Lite

Google

79

Composite Score

GPT-5 Nano (batch)

OpenAI

77

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Flash LiteGPT-5 Nano (batch)Winner
Overall Score
79
77
Gemini 2.5 Flash Lite
Rank#96#115
Gemini 2.5 Flash Lite
Quality Rank#96#115
Gemini 2.5 Flash Lite
Adoption Rank#96#115
Gemini 2.5 Flash Lite
Parameters------
Context Window1049K400K
Gemini 2.5 Flash Lite
Pricing$0.10/$0.40/M$0.02/$0.20/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Flash Lite
Benchmarks
81
88
GPT-5 Nano (batch)
Pricing
100
100
GPT-5 Nano (batch)
Context window size
96
89
Gemini 2.5 Flash Lite
Recency
63
66
GPT-5 Nano (batch)
Output Capacity
80
85
GPT-5 Nano (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 0GPT-5 Nano: 11
Gemini 2.5
GPT-5 Nano
Normalized 0-100%
MMLU
85.8%93%
MMLU-Pro
78%84.5%
GPQA Diamond
82.8%85%
MATH-500
85.8%92.5%
HumanEval
90%96.5%
SWE-bench Verified
60.4%75%
AIME 2024
88%-
IFEval
85.5%92%
BBH
85%90.5%
Arena Elo
13951465
LiveBench
66.5%76%
HLE
12.08%35%
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 2.5 Flash LiteStrong Performer

Scores 79/100 (rank #96), placing it in the top 67% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5 Nano (batch)Strong Performer

Scores 77/100 (rank #115), placing it in the top 61% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Gemini 2.5 Flash Lite when you need:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5 Nano (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 2.5 Flash Lite
Input cost$0.10/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$7.50
GPT-5 Nano (batch)Best Value
Input cost$0.02/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.37

GPT-5 Nano (batch) offers 55% better value per quality point. At 1M tokens/day, you'd spend $3.37/month with GPT-5 Nano (batch) vs $7.50/month with Gemini 2.5 Flash Lite - a $4.13 monthly difference.

Latency & Speed
Gemini 2.5 Flash LiteFaster
Speed score0/100
GPT-5 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 2.5 Flash Lite

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5 Nano (batch) also offers lower per-token costs for high-volume support

Gemini 2.5 Flash Lite

Long document analysis

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

Gemini 2.5 Flash Lite

Batch data extraction

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

GPT-5 Nano (batch)

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

Gemini 2.5 Flash Lite

Image understanding & OCR

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

Gemini 2.5 Flash Lite
Which Should You Choose?
Our recommendation:
Gemini 2.5 Flash Lite

Gemini 2.5 Flash Lite and GPT-5 Nano (batch) are extremely close in overall performance (only 2.299999999999997 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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 - 55% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 Flash LiteGPT-5 Nano (batch)
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Gemini 2.5 Flash Lite

Google

$0.6600
estimated monthly cost

GPT-5 Nano (batch)

OpenAI

Best Value
$0.2850
estimated monthly cost

GPT-5 Nano (batch) saves you $0.3750/month

That's 57% cheaper than Gemini 2.5 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 2.5 Flash LiteGPT-5 Nano (batch)
Context Window1.0M400K
Max Output Tokens65,535128,000
Open SourceNoNo
CreatedJul 22, 2025Aug 7, 2025
Last updated: 36m ago

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