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Gemini 3.1 Flash Lite Preview vs GPT-5.6 Luna (batch)

Signal-by-Signal Comparison
SignalGemini 3.1 Flash Lite PreviewDeltaGPT-5.6 Luna (batch)
Capabilities
100
--
100
Benchmarks
79
-9
88
Pricing
99
-1
99
Context window size
96
0
96
Recency
100
--
100
Output Capacity
80
-5
85
Overall Result
0 wins
of 6
4 wins
GPT-5.6 Luna (batch) wins 4 of 6 signals

Score History

Score History (25 data points)
Gemini 3.1 Flash Lite PreviewGPT-5.6 Luna (batch)
Gemini 3.1 Flash Lite Preview

79.3

current score

Leader

GPT-5.6 Luna (batch)

right now

GPT-5.6 Luna (batch)

89

current score

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

Gemini 3.1 Flash Lite Preview

Google

Per request$0.001000
Daily$3.33
Monthly$100.00
Annual$1200.00

GPT-5.6 Luna (batch)

OpenAI

Best Value
Per request$0.000400
Daily$1.33
Monthly$40.00
Annual$480.00

GPT-5.6 Luna (batch) saves you $60.00/month

That's $720.00/year compared to Gemini 3.1 Flash Lite Preview at your current usage level of 100K calls/month.

60% cheaper
Choose GPT-5.6 Luna (batch) for cost optimization

Gemini 3.1 Flash Lite Preview pricing:
Input:$0.25/M tokens
Output:$1.50/M tokens
GPT-5.6 Luna (batch) pricing:
Input:$0.10/M tokens
Output:$0.60/M tokens
Gemini 3.1 Flash Lite Preview

Google

79

Composite Score

Winner
GPT-5.6 Luna (batch)

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.1 Flash Lite PreviewGPT-5.6 Luna (batch)Winner
Overall Score
79
89
GPT-5.6 Luna (batch)
Rank#95#35
GPT-5.6 Luna (batch)
Quality Rank#95#35
GPT-5.6 Luna (batch)
Adoption Rank#95#35
GPT-5.6 Luna (batch)
Parameters------
Context Window1049K1050K
GPT-5.6 Luna (batch)
Pricing$0.25/$1.50/M$0.10/$0.60/M--
Signal Scores
Capabilities
100
100
Gemini 3.1 Flash Lite Preview
Benchmarks
79
88
GPT-5.6 Luna (batch)
Pricing
99
99
GPT-5.6 Luna (batch)
Context window size
96
96
GPT-5.6 Luna (batch)
Recency
100
100
Gemini 3.1 Flash Lite Preview
Output Capacity
80
85
GPT-5.6 Luna (batch)
Benchmark Head-to-Head(11 benchmarks)
Gemini 3.1: 1GPT-5.6 Luna: 1
Gemini 3.1
GPT-5.6 Luna
Normalized 0-100%
MMLU
-93%
MMLU-Pro
86.2%84.5%
GPQA Diamond
-85%
MATH-500
-92.5%
HumanEval
-96.5%
SWE-bench Verified
-75%
IFEval
-92%
BBH
-90.5%
Arena Elo
14321465
LiveBench
-76%
HLE
-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 3.1 Flash Lite PreviewStrong 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-5.6 Luna (batch)Elite Tier

Scores 89/100 (rank #35), placing it in the top 88% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna (batch) has a 10-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 3.1 Flash Lite Preview when you need:

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

Choose GPT-5.6 Luna (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 3.1 Flash Lite Preview
Input cost$0.25/M tokens
Output cost$1.50/M tokens
Cost per quality point$0.022
Est. monthly (1M tokens/day)$26.25
GPT-5.6 Luna (batch)Best Value
Input cost$0.10/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.008
Est. monthly (1M tokens/day)$10.50

GPT-5.6 Luna (batch) offers 60% better value per quality point. At 1M tokens/day, you'd spend $10.50/month with GPT-5.6 Luna (batch) vs $26.25/month with Gemini 3.1 Flash Lite Preview - a $15.75 monthly difference.

Latency & Speed
Gemini 3.1 Flash Lite PreviewFaster
Speed score0/100
GPT-5.6 Luna (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 3.1 Flash Lite Preview

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-5.6 Luna (batch) also offers lower per-token costs for high-volume support

Gemini 3.1 Flash Lite Preview

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.6 Luna (batch)

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna (batch)

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.6 Luna (batch)

Image understanding & OCR

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

Gemini 3.1 Flash Lite Preview
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna (batch)

GPT-5.6 Luna (batch) has a moderate advantage with a 9.700000000000003-point lead in composite score. It wins on more signal dimensions, but Gemini 3.1 Flash Lite Preview has specific strengths that could make it the better choice for certain workflows.

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 - 60% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 3.1 Flash Lite PreviewGPT-5.6 Luna (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 3.1 Flash Lite Preview

Google

$2.25
estimated monthly cost

GPT-5.6 Luna (batch)

OpenAI

Best Value
$0.9000
estimated monthly cost

GPT-5.6 Luna (batch) saves you $1.35/month

That's 60% cheaper than Gemini 3.1 Flash Lite Preview 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 3.1 Flash Lite PreviewGPT-5.6 Luna (batch)
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedMar 3, 2026Jul 9, 2026
Last updated: 30m ago

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Gemini 3.1 Flash Lite Preview vs GPT-5.6 Luna (batch) (2026) | LM Market Cap