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  3. GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline
GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline
launchVerified Dispatch
CompareLLM Intelligence Desk·Aug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

Search intent: gpt-5 mini vs luna

Evaluated Models (4):
GPT-5 miniOpenAI
GPT-5.6 LunaOpenAI
GPT-5OpenAI
GPT-5.6 SolOpenAI
Share Analysis:
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Verified Benchmark Scorecard4 Models Evaluated

GPT-5 mini & Frontier Peer Benchmark Comparison

Live benchmark scores, throughput speeds, and token pricing with dynamic peer comparison.

LMSYS Arena Elo1,410GPT-5 mini
SWE-bench Verified52.4%Coding resolve %
Throughput Speed155 tok/sGeneration rate
Output Price / 1M$2.00List rate
Interactive Model Comparison:4 models selected
GPT-5 miniArticleGPT-5.6 LunaArticleGPT-5ArticleGPT-5.6 SolArticle
LMSYS Arena EloOverall human preference
quality
GPT-5 mini
1,410
GPT-5.6 Luna
1,466
GPT-5
1,558
GPT-5.6 SolBest
1,608
Coding EloProgramming preference
quality
GPT-5 mini
1,395
GPT-5.6 Luna
1,458
GPT-5
1,540
GPT-5.6 SolBest
1,602
SWE-bench VerifiedGitHub issue resolve %
quality
GPT-5 mini
52.4%
GPT-5.6 Luna
61.8%
GPT-5
68.4%
GPT-5.6 SolBest
77.6%
GPQA DiamondPhD-level science reasoning %
quality
GPT-5 mini
72%
GPT-5.6 Luna
75.4%
GPT-5
85.2%
GPT-5.6 SolBest
86.8%
LiveBenchContamination-free reasoning
quality
GPT-5 mini
61.2%
GPT-5.6 Luna
64.2%
GPT-5
69.8%
GPT-5.6 SolBest
73.9%
Throughput (Speed)Output tokens / second
speed
GPT-5 mini
155 tok/s
GPT-5.6 LunaBest
188 tok/s
GPT-5
78 tok/s
GPT-5.6 Sol
84 tok/s
Time-to-First-TokenInitial latency (ms)
speed
GPT-5 mini
140 ms
GPT-5.6 LunaBest
88 ms
GPT-5
290 ms
GPT-5.6 Sol
270 ms
Output Token Price$ per 1M reply tokens
price
GPT-5 mini
$2/1M
GPT-5.6 LunaBest
$0.6/1M
GPT-5
$10/1M
GPT-5.6 Sol
$30/1M
Input Token Price$ per 1M prompt tokens
price
GPT-5 mini
$0.25/1M
GPT-5.6 LunaBest
$0.1/1M
GPT-5
$1.25/1M
GPT-5.6 Sol
$5/1M
Context WindowMax token capacity
capacity
GPT-5 mini
400k
GPT-5.6 LunaBest
1.1M
GPT-5
400k
GPT-5.6 Sol
1.1M
Benchmark / Metric
GPT-5 miniOpenAI · Article Model
GPT-5.6 LunaOpenAI · Article Model
GPT-5OpenAI · Article Model
GPT-5.6 SolOpenAI · Article Model
LMSYS Arena EloOverall human preference
1,410
1,466
1,558
1,608Top
Coding EloProgramming preference
1,395
1,458
1,540
1,602Top
SWE-bench VerifiedGitHub issue resolve %
52.4%
61.8%
68.4%
77.6%Top
GPQA DiamondPhD-level science reasoning %
72%
75.4%
85.2%
86.8%Top
LiveBenchContamination-free reasoning
61.2%
64.2%
69.8%
73.9%Top
Throughput (Speed)Output tokens / second
155 tok/s
188 tok/sTop
78 tok/s
84 tok/s
Time-to-First-TokenInitial latency (ms)
140 ms
88 msTop
290 ms
270 ms
Output Token Price$ per 1M reply tokens
$2/1M
$0.6/1MTop
$10/1M
$30/1M
Input Token Price$ per 1M prompt tokens
$0.25/1M
$0.1/1MTop
$1.25/1M
$5/1M
Context WindowMax token capacity
400k
1.1MTop
400k
1.1M
Executive Key Takeaway
High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

GPT-5 mini was the 2025 cost-efficient distill. Luna is the 2026 cheap 5.6 SKU. Both exist in the catalog so “which cheap OpenAI row?” has a pair page. Mini is not deprecated just because Luna is newer — check TTFT, SWE-bench, and list price on the dated cells.

Distills lie if you only read Elo

Mini will lose preference Elo to Sol and often to Luna. It can still win a constrained function-calling job. Use the workload table, then run your tools.

Empirical Evaluation & Architectural Analysis

Standardized telemetry recorded in the verified CompareLLM Leaderboards captures distinct architectural priorities between GPT-5 mini and GPT-5.6 Luna. While blind human pairwise preference testing reflects instruction compliance and reasoning depth, domain-specific suites such as SWE-bench Verified and GPQA Diamond highlight coding execution and advanced STEM reasoning. For the live pairwise breakdown with historical trendlines, reference the interactive scorecard above or visit the GPT-5 mini vs GPT-5.6 Luna Showdown.

Context windows are not the differentiator here

Both sit on large 5-family windows in our seed. Price and SWE-bench are the columns that move the decision.

Strategic Deployment Recommendation

  • Production Workloads: For enterprise workloads requiring strict reliability, cross-reference Top Coding LLMs and Cheapest High-Quality LLMs.
  • Direct Pair Comparison: Explore the live pairwise breakdown at /compare/gpt-5-6-luna-vs-gpt-5-mini.
  • Architectural Stacks: Recommended architectural configurations can be evaluated on the CompareLLM Stack Engine.

Frequently Asked Questions

Is this an CompareLLM lab test score? No. Linked model dossiers and compare showdowns reflect dated snapshots gathered from named public evaluation benchmarks. Seed catalog entries remain transparently timestamped until daily ingest updates them.

Where can I see live comparisons for this model? View the showdown at /compare/gpt-5-6-luna-vs-gpt-5-mini.

What primary search query does this briefing answer? gpt-5 mini vs luna.

Share Analysis:
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Head-to-Head Showdowns for Mentioned Models

Featured Article ShowdownGPT-5 mini vs GPT-5.6 Luna
Compare Benchmarks
Benchmark MatchupGPT-5 mini vs Claude Opus 4.5
Benchmark MatchupGPT-5 mini vs Claude Opus 4.6
Benchmark MatchupGPT-5.6 Luna vs Claude Opus 4.5
Benchmark MatchupGPT-5.6 Luna vs Claude Opus 4.6
Benchmark MatchupGPT-5 vs Claude Opus 4.5
Benchmark MatchupGPT-5 vs Claude Opus 4.6
Benchmark MatchupGPT-5.6 Sol vs Claude Opus 4.5
Benchmark MatchupGPT-5.6 Sol vs Claude Opus 4.6

Related news

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    GPT-5 (2025) remains the legacy OpenAI flagship baseline

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  • price · Jul 30, 2026

    GPT-5.6 Luna’s 80% cut: $0.20/$1.20 for volume chat

  • compare · Jul 24, 2026

    Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

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