Skip to content

GPT-6 Luna Pro vs Mercury 3

GPT-6 Luna Pro

OpenAI

40#220
vs
Mercury 3

Inception

40#191
Signal-by-Signal Comparison
SignalGPT-6 Luna ProDeltaMercury 3
Capabilities
100
+33
67
Pricing
100
0
100
Context window size
96
+0
95
Recency
100
--
100
Output Capacity
82
0
82
Overall Result
2 wins
of 5
2 wins
It's a tie - both models win 2 signals each

Score History

Score History (5 data points)
GPT-6 Luna ProMercury 3
GPT-6 Luna Pro

40

current score

Leader

Tied

right now

Mercury 3

40

current score

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

GPT-6 Luna Pro

OpenAI

Per request$0.000350
Daily$1.17
Monthly$35.00
Annual$420.00

Mercury 3

Inception

Best Value
Per request$0.000275
Daily$0.92
Monthly$27.50
Annual$330.00

Mercury 3 saves you $7.50/month

That's $90.00/year compared to GPT-6 Luna Pro at your current usage level of 100K calls/month.

21% cheaper
Choose Mercury 3 for cost optimization

GPT-6 Luna Pro pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Mercury 3 pricing:
Input:$0.10/M tokens
Output:$0.35/M tokens
Tie
GPT-6 Luna Pro

OpenAI

40

Composite Score

Tie
Mercury 3

Inception

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna ProMercury 3Winner
Overall Score
40
40
--
Rank#220#191
Mercury 3
Quality Rank#220#191
Mercury 3
Adoption Rank#220#191
Mercury 3
Parameters------
Context Window1050K1000K
GPT-6 Luna Pro
Pricing$0.10/$0.50/M$0.10/$0.35/M--
Signal Scores
Capabilities
100
67
GPT-6 Luna Pro
Pricing
100
100
Mercury 3
Context window size
96
95
GPT-6 Luna Pro
Recency
100
100
GPT-6 Luna Pro
Output Capacity
82
82
Mercury 3
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.

GPT-6 Luna ProEntry Level

Scores 40/100 (rank #220), placing it in the top 24% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mercury 3Entry Level

Scores 40/100 (rank #191), placing it in the top 34% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-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 GPT-6 Luna Pro when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Mercury 3 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-6 Luna Pro
Input cost$0.10/M tokens
Output cost$0.50/M tokens
Cost per quality point$0.015
Est. monthly (1M tokens/day)$9.00
Mercury 3Best Value
Input cost$0.10/M tokens
Output cost$0.35/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$6.75

Mercury 3 offers 25% better value per quality point. At 1M tokens/day, you'd spend $6.75/month with Mercury 3 vs $9.00/month with GPT-6 Luna Pro - a $2.25 monthly difference.

Latency & Speed
GPT-6 Luna ProFaster
Speed score0/100
Mercury 3
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

GPT-6 Luna Pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mercury 3 also offers lower per-token costs for high-volume support

GPT-6 Luna Pro

Long document analysis

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

GPT-6 Luna Pro

Batch data extraction

Lower output pricing ($0.35/M) reduces costs when processing thousands of records daily

Mercury 3

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

GPT-6 Luna Pro

Image understanding & OCR

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

GPT-6 Luna Pro
Which Should You Choose?
Our recommendation:
GPT-6 Luna Pro

GPT-6 Luna Pro and Mercury 3 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

GPT-6 Luna Pro
Recommended

by OpenAI

  • 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 Inception

  • Choose for Cost - 25% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-6 Luna ProMercury 3
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-6 Luna Pro

OpenAI

$0.7800
estimated monthly cost

Mercury 3

Inception

Best Value
$0.6000
estimated monthly cost

Mercury 3 saves you $0.1800/month

That's 23% cheaper than GPT-6 Luna 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
ParameterGPT-6 Luna ProMercury 3
Context Window1.1M1M
Max Output Tokens128,000131,072
Open SourceNoNo
CreatedSep 22, 2026Oct 16, 2026
Last updated: 24m ago

Related comparisons

GPT-6 Luna Pro vs Mercury 3 (2026) | LM Market Cap