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Gemini 2.5 Pro vs GPT-5.6 Luna

Gemini 2.5 Pro

Google

84#47
vs
GPT-5.6 Luna

OpenAI

89#22
Signal-by-Signal Comparison
SignalGemini 2.5 ProDeltaGPT-5.6 Luna
Capabilities
100
--
100
Benchmarks
80
-8
88
Pricing
90
-7
97
Context window size
96
0
96
Recency
59
-41
100
Output Capacity
80
-5
85
Overall Result
0 wins
of 6
5 wins
GPT-5.6 Luna wins 5 of 6 signals

Score History

Score History (24 data points)
Gemini 2.5 ProGPT-5.6 Luna
Gemini 2.5 Pro

83.5

current score

Leader

GPT-5.6 Luna

right now

GPT-5.6 Luna

89

current score

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

Gemini 2.5 Pro

Google

Per request$0.006250
Daily$20.83
Monthly$625.00
Annual$7500.00

GPT-5.6 Luna

OpenAI

Best Value
Per request$0.002000
Daily$6.67
Monthly$200.00
Annual$2400.00

GPT-5.6 Luna saves you $425.00/month

That's $5100.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.

68% cheaper
Choose GPT-5.6 Luna for cost optimization

Gemini 2.5 Pro pricing:
Input:$1.25/M tokens
Output:$10.00/M tokens
GPT-5.6 Luna pricing:
Input:$0.50/M tokens
Output:$3.00/M tokens
Gemini 2.5 Pro

Google

84

Composite Score

Winner
GPT-5.6 Luna

OpenAI

89

Composite Score

Signal-by-Signal Comparison
MetricGemini 2.5 ProGPT-5.6 LunaWinner
Overall Score
84
89
GPT-5.6 Luna
Rank#47#22
GPT-5.6 Luna
Quality Rank#47#22
GPT-5.6 Luna
Adoption Rank#47#22
GPT-5.6 Luna
Parameters------
Context Window1049K1050K
GPT-5.6 Luna
Pricing$1.25/$10.00/M$0.50/$3.00/M--
Signal Scores
Capabilities
100
100
Gemini 2.5 Pro
Benchmarks
80
88
GPT-5.6 Luna
Pricing
90
97
GPT-5.6 Luna
Context window size
96
96
GPT-5.6 Luna
Recency
59
100
GPT-5.6 Luna
Output Capacity
80
85
GPT-5.6 Luna
Benchmark Head-to-Head(13 benchmarks)
Gemini 2.5: 3GPT-5.6 Luna: 7
Gemini 2.5
GPT-5.6 Luna
Normalized 0-100%
MMLU
90.8%93%
MMLU-Pro
86%84.5%
GPQA Diamond
84%85%
MATH-500
95.2%92.5%
HumanEval
-96.5%
SWE-bench Verified
63.8%75%
AIME 2024
92%-
IFEval
87.2%92%
BBH
88%90.5%
Arena Elo
14441465
LiveBench
75.6%76%
HLE
35.2%35%
BigCodeBench
29.7%-
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 ProStrong Performer

Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT-5.6 LunaElite Tier

Scores 89/100 (rank #22), placing it in the top 93% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.6 Luna has a 6-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 Pro when you need:

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

Choose GPT-5.6 Luna 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 Pro
Input cost$1.25/M tokens
Output cost$10.00/M tokens
Cost per quality point$0.135
Est. monthly (1M tokens/day)$168.75
GPT-5.6 LunaBest Value
Input cost$0.50/M tokens
Output cost$3.00/M tokens
Cost per quality point$0.039
Est. monthly (1M tokens/day)$52.50

GPT-5.6 Luna offers 69% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-5.6 Luna vs $168.75/month with Gemini 2.5 Pro - a $116.25 monthly difference.

Latency & Speed
Gemini 2.5 ProFaster
Speed score0/100
GPT-5.6 Luna
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 Pro

Customer support chatbot

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

Gemini 2.5 Pro

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 data extraction

Lower output pricing ($3.00/M) reduces costs when processing thousands of records daily

GPT-5.6 Luna

Creative writing & content

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

GPT-5.6 Luna

Image understanding & OCR

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

Gemini 2.5 Pro
Which Should You Choose?
Our recommendation:
GPT-5.6 Luna

GPT-5.6 Luna has a moderate advantage with a 5.5-point lead in composite score. It wins on more signal dimensions, but Gemini 2.5 Pro 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
GPT-5.6 Luna
Recommended

by OpenAI

  • Choose for Cost - 69% lower pricing; better value at scale
Capability Comparison
CapabilityGemini 2.5 ProGPT-5.6 Luna
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 Pro

Google

$14.25
estimated monthly cost

GPT-5.6 Luna

OpenAI

Best Value
$4.50
estimated monthly cost

GPT-5.6 Luna saves you $9.75/month

That's 68% cheaper than Gemini 2.5 Pro 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 ProGPT-5.6 Luna
Context Window1.0M1.1M
Max Output Tokens65,536128,000
Open SourceNoNo
CreatedJun 17, 2025Jul 9, 2026
Last updated: 57m ago

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