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GPT-4o-mini (batch) vs GPT Luna Latest

vs
GPT Luna Latest

~openai

40#244
Signal-by-Signal Comparison
SignalGPT-4o-mini (batch)DeltaGPT Luna Latest
Capabilities
83
-17
100
Benchmarks
74
+74
0
Pricing
100
+1
99
Context window size
81
-14
96
Recency
0
-100
100
Output Capacity
67
-14
82
Overall Result
2 wins
of 6
4 wins
GPT Luna Latest wins 4 of 6 signals

Score History

Score History (7 data points)
GPT-4o-mini (batch)GPT Luna Latest
GPT-4o-mini (batch)

62.5

current score

Leader

GPT-4o-mini (batch)

right now

GPT Luna Latest

40

current score

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

GPT-4o-mini (batch)

OpenAI

Best Value
Per request$0.000225
Daily$0.75
Monthly$22.50
Annual$270.00

GPT Luna Latest

~openai

Per request$0.000800
Daily$2.67
Monthly$80.00
Annual$960.00

GPT-4o-mini (batch) saves you $57.50/month

That's $690.00/year compared to GPT Luna Latest at your current usage level of 100K calls/month.

72% cheaper
Choose GPT-4o-mini (batch) for cost optimization

GPT-4o-mini (batch) pricing:
Input:$0.07/M tokens
Output:$0.30/M tokens
GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Winner
GPT-4o-mini (batch)

OpenAI

63

Composite Score

GPT Luna Latest

~openai

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-4o-mini (batch)GPT Luna LatestWinner
Overall Score
63
40
GPT-4o-mini (batch)
Rank#206#244
GPT-4o-mini (batch)
Quality Rank#206#244
GPT-4o-mini (batch)
Adoption Rank#206#244
GPT-4o-mini (batch)
Parameters------
Context Window128K1050K
GPT Luna Latest
Pricing$0.07/$0.30/M$0.20/$1.20/M--
Signal Scores
Capabilities
83
100
GPT Luna Latest
Benchmarks
74
--
GPT-4o-mini (batch)
Pricing
100
99
GPT-4o-mini (batch)
Context window size
81
96
GPT Luna Latest
Recency
0
100
GPT Luna Latest
Output Capacity
67
82
GPT Luna Latest
Benchmark Head-to-Head(15 benchmarks)
GPT-4o-mini (batch): 0GPT Luna: 0
GPT-4o-mini (batch)
GPT Luna
Normalized 0-100%
MMLU
88.7%-
MMLU-Pro
72.6%-
GPQA Diamond
53.6%-
MATH-500
76.6%-
HumanEval
90.2%-
SWE-bench Verified
30.8%-
GSM8K
95.8%-
IFEval
84.3%-
BBH
83.7%-
ARC-Challenge
96.4%-
HellaSwag
95.3%-
Arena Elo
1286-
LiveBench
64.3%-
BigCodeBench
51.1%-
SimpleQA
38.2%-
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-4o-mini (batch)Competitive

Scores 63/100 (rank #206), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GPT Luna LatestEntry Level

Scores 40/100 (rank #244), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-4o-mini (batch) has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-4o-mini (batch) when you need:

  • High-volume production workloads where API costs must be minimized

Choose GPT Luna Latest when you need:

  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
GPT-4o-mini (batch)Best Value
Input cost$0.07/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$5.63
GPT Luna Latest
Input cost$0.20/M tokens
Output cost$1.20/M tokens
Cost per quality point$0.035
Est. monthly (1M tokens/day)$21.00

GPT-4o-mini (batch) offers 73% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with GPT-4o-mini (batch) vs $21.00/month with GPT Luna Latest - a $15.38 monthly difference.

Latency & Speed
GPT-4o-mini (batch)Faster
Speed score0/100
GPT Luna Latest
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-4o-mini (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4o-mini (batch) also offers lower per-token costs for high-volume support

GPT-4o-mini (batch)

Long document analysis

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

GPT Luna Latest

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

GPT-4o-mini (batch)

Creative writing & content

Higher overall composite score (63/100) correlates with better nuance, coherence, and style in long-form content

GPT-4o-mini (batch)

Image understanding & OCR

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

GPT-4o-mini (batch)
Which Should You Choose?
Our recommendation:
GPT-4o-mini (batch)

GPT-4o-mini (batch) clearly outperforms GPT Luna Latest with a significant 22.5-point lead. For most general use cases, GPT-4o-mini (batch) is the stronger choice. However, GPT Luna Latest may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 73% 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

by ~openai

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4o-mini (batch)GPT Luna Latest
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o-mini (batch)

OpenAI

Best Value
$0.4950
estimated monthly cost

GPT Luna Latest

~openai

$1.80
estimated monthly cost

GPT-4o-mini (batch) saves you $1.30/month

That's 72% cheaper than GPT Luna Latest 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-4o-mini (batch)GPT Luna Latest
Context Window128K1.1M
Max Output Tokens16,384128,000
Open SourceNoNo
CreatedJul 18, 2024Sep 11, 2026
Last updated: 14m ago

相关对比

GPT-4o-mini (batch) vs GPT Luna Latest (2026) | LM Market Cap