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Gemini 2.5 Flash Lite (batch) vs GPT-5.2 (batch)

Signal-by-Signal Comparison
SignalGemini 2.5 Flash Lite (batch)DeltaGPT-5.2 (batch)
Capabilities
100
--
100
Benchmarks
81
-9
89
Pricing
100
+7
93
Context window size
96
+7
89
Recency
55
-26
81
Output Capacity
77
-5
82
Overall Result
2 wins
of 6
3 wins
GPT-5.2 (batch) wins 3 of 6 signals

Score History

Score History (8 data points)
Gemini 2.5 Flash Lite (batch)GPT-5.2 (batch)
Gemini 2.5 Flash Lite (batch)

79.1

current score

Leader

GPT-5.2 (batch)

right now

GPT-5.2 (batch)

90.5

current score

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

Gemini 2.5 Flash Lite (batch)

Google

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

GPT-5.2 (batch)

OpenAI

Per request$0.004375
Daily$14.58
Monthly$437.50
Annual$5250.00

Gemini 2.5 Flash Lite (batch) saves you $422.50/month

That's $5070.00/year compared to GPT-5.2 (batch) at your current usage level of 100K calls/month.

97% cheaper
Choose Gemini 2.5 Flash Lite (batch) for cost optimization

Gemini 2.5 Flash Lite (batch) pricing:
Input:$0.05/M tokens
Output:$0.20/M tokens
GPT-5.2 (batch) pricing:
Input:$0.88/M tokens
Output:$7.00/M tokens
Gemini 2.5 Flash Lite (batch)

Google

79

Composite Score

Winner
GPT-5.2 (batch)

OpenAI

91

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 Flash Lite (batch)GPT-5.2 (batch)Winner
Overall Score
79
91
GPT-5.2 (batch)
Rank#95#27
GPT-5.2 (batch)
Quality Rank#95#27
GPT-5.2 (batch)
Adoption Rank#95#27
GPT-5.2 (batch)
Parameters------
Context Window1049K400K
Gemini 2.5 Flash Lite (batch)
Pricing$0.05/$0.20/M$0.88/$7.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Flash Lite (batch)
Benchmarks
81
89
GPT-5.2 (batch)
Pricing
100
93
Gemini 2.5 Flash Lite (batch)
Context window size
96
89
Gemini 2.5 Flash Lite (batch)
Recency
55
81
GPT-5.2 (batch)
Output Capacity
77
82
GPT-5.2 (batch)
Benchmark Head-to-Head(12 benchmarks)
Gemini 2.5: 0GPT-5.2 (batch): 11
Gemini 2.5
GPT-5.2 (batch)
Normalized 0-100%
MMLU
85.8%93.5%
MMLU-Pro
78%86%
GPQA Diamond
82.8%87%
MATH-500
85.8%94%
HumanEval
90%97%
SWE-bench Verified
60.4%78%
AIME 2024
88%-
IFEval
85.5%93%
BBH
85%91.5%
Arena Elo
13951481
LiveBench
66.5%77.5%
HLE
12.08%37%
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 Lite (batch)Strong Performer

Scores 79/100 (rank #95), placing it in the top 68% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.2 (batch)Elite Tier

Scores 91/100 (rank #27), placing it in the top 91% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.2 (batch) has a 11-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Gemini 2.5 Flash Lite (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose GPT-5.2 (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 2.5 Flash Lite (batch)Best Value
Input cost$0.05/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.75
GPT-5.2 (batch)
Input cost$0.88/M tokens
Output cost$7.00/M tokens
Cost per quality point$0.087
Est. monthly (1M tokens/day)$118.13

Gemini 2.5 Flash Lite (batch) offers 97% better value per quality point. At 1M tokens/day, you'd spend $3.75/month with Gemini 2.5 Flash Lite (batch) vs $118.13/month with GPT-5.2 (batch) - a $114.38 monthly difference.

Latency & Speed
Gemini 2.5 Flash Lite (batch)Faster
Speed score0/100
GPT-5.2 (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 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 2.5 Flash Lite (batch) also offers lower per-token costs for high-volume support

Gemini 2.5 Flash Lite (batch)

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)

Batch data extraction

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

Gemini 2.5 Flash Lite (batch)

Creative writing & content

Higher overall composite score (91/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.2 (batch)

Image understanding & OCR

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

Gemini 2.5 Flash Lite (batch)
Which Should You Choose?
Our recommendation:
GPT-5.2 (batch)

GPT-5.2 (batch) clearly outperforms Gemini 2.5 Flash Lite (batch) with a significant 11.400000000000006-point lead. For most general use cases, GPT-5.2 (batch) is the stronger choice. However, Gemini 2.5 Flash Lite (batch) may still excel in niche scenarios.

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 97% lower pricing; better value at scale
  • 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
GPT-5.2 (batch)
Recommended

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 2.5 Flash Lite (batch)GPT-5.2 (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 (batch)

Google

Best Value
$0.3300
estimated monthly cost

GPT-5.2 (batch)

OpenAI

$9.97
estimated monthly cost

Gemini 2.5 Flash Lite (batch) saves you $9.64/month

That's 97% cheaper than GPT-5.2 (batch) 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 Lite (batch)GPT-5.2 (batch)
Context Window1.0M400K
Max Output Tokens65,535128,000
Open SourceNoNo
CreatedJul 22, 2025Dec 10, 2025
Last updated: 32m ago

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