All Releases

GPT-6 Luna vs Mistral Small 4: Release Comparison

Comparison of the GPT-6 Luna and Mistral Small 4 releases: 6 and 2 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 8 models.

  • For intelligence, GPT-6 Luna scores highest: GPT-6 Luna (Max) at 28, against Mistral Small 4 (Reasoning) at 4 for Mistral Small 4.
  • For output speed, Mistral Small 4 is fastest: Mistral Small 4 (Reasoning) at 158 t/s, against GPT-6 Luna (Xhigh) at 127 t/s for GPT-6 Luna.
  • For cost per task, GPT-6 Luna is cheapest: GPT-6 Luna (Low) at $0.01, against Mistral Small 4 (Reasoning) at $0.04 for Mistral Small 4.
Model Playground

Releases compared

GPT-6 Luna (max)GPT-6 Luna (xhigh)GPT-6 Luna (high)GPT-6 Luna (medium)GPT-6 Luna (low)GPT-6 Luna (non-reasoning)Mistral Small 4Mistral Small 4 (non-reasoning)
Intelligence Index
28
23
21
18
10
9
4
--
Finance & Accounting
34
31
29
26
17
19
12
--
Strategy & Ops
43
39
38
34
17
17
7
--
Legal
32
28
27
24
16
17
12
--
Healthcare & Medical
35
30
29
27
16
16
9
--
Cost per TaskUSD
$0.15
$0.10
$0.07
$0.04
$0.01
$0.07
$0.04
--
Output SpeedTokens/s
117
127
119
--
121
112
158
152
Time to First Tokens
112.81
40.38
29.02
--
2.81
0.81
0.75
0.79
Context Window
1M
1M
1M
1M
1M
1M
256k
256k
Creator
OpenAI
OpenAI
OpenAI
OpenAI
OpenAI
OpenAI
Mistral
Mistral
License
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Proprietary
Open
Open
Input Modality

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Output Modality

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Providers
OpenAIMicrosoft Azure
OpenAI
OpenAIMicrosoft Azure
OpenAI
OpenAI
OpenAIMicrosoft Azure
Mistral
Mistral
Updated
Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
Weighted average cost (USD) per Intelligence Index task · Lower is better

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
GPT-6 Luna
Pareto line

Cost per Task (USD, Log Scale)

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

Speed & Latency

Output Speed

Output tokens per second · Higher is better

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries
Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, GDP.pdf · Higher is better

AA-PersonalityBenchNew

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark