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GPT-6 Luna Pro vs Llama 3.1 70B Instruct

GPT-6 Luna Pro

OpenAI

40#234
vs
Signal-by-Signal Comparison
SignalGPT-6 Luna ProDeltaLlama 3.1 70B Instruct
Capabilities
100
+50
50
Pricing
100
0
100
Context window size
96
+14
81
Recency
100
+100
0
Output Capacity
82
+14
67
Benchmarks
0
-72
72
Overall Result
4 wins
of 6
2 wins
GPT-6 Luna Pro wins 4 of 6 signals

Score History

Score History (32 data points)
GPT-6 Luna ProLlama 3.1 70B Instruct
GPT-6 Luna Pro

40

current score

Leader

Llama 3.1 70B Instruct

right now

Llama 3.1 70B Instruct

65.3

current score

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

GPT-6 Luna Pro

OpenAI

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

Llama 3.1 70B Instruct

Meta

Per request$0.000600
Daily$2.00
Monthly$60.00
Annual$720.00

GPT-6 Luna Pro saves you $25.00/month

That's $300.00/year compared to Llama 3.1 70B Instruct at your current usage level of 100K calls/month.

42% cheaper
Choose GPT-6 Luna Pro for cost optimization

GPT-6 Luna Pro pricing:
Input:$0.10/M tokens
Output:$0.50/M tokens
Llama 3.1 70B Instruct pricing:
Input:$0.40/M tokens
Output:$0.40/M tokens
GPT-6 Luna Pro

OpenAI

40

Composite Score

Winner
Llama 3.1 70B Instruct

Meta

65

Composite Score

Signal-by-Signal Comparison
MetricGPT-6 Luna ProLlama 3.1 70B InstructWinner
Overall Score
40
65
Llama 3.1 70B Instruct
Rank#234#196
Llama 3.1 70B Instruct
Quality Rank#234#196
Llama 3.1 70B Instruct
Adoption Rank#234#196
Llama 3.1 70B Instruct
Parameters--70B--
Context Window1050K131K
GPT-6 Luna Pro
Pricing$0.10/$0.50/M$0.40/$0.40/M--
Signal Scores
Capabilities
100
50
GPT-6 Luna Pro
Pricing
100
100
Llama 3.1 70B Instruct
Context window size
96
81
GPT-6 Luna Pro
Recency
100
0
GPT-6 Luna Pro
Output Capacity
82
67
GPT-6 Luna Pro
Benchmarks--
72
Llama 3.1 70B Instruct
Benchmark Head-to-Head(13 benchmarks)
GPT-6 Luna: 0Llama 3.1: 0
GPT-6 Luna
Llama 3.1
Normalized 0-100%
MMLU
-86%
MMLU-Pro
-62.8%
GPQA Diamond
-46.7%
MATH-500
-68%
HumanEval
-80.5%
GSM8K
-95.1%
IFEval
-83.6%
BBH
-81.2%
ARC-Challenge
-94.8%
HellaSwag
-94.8%
Arena Elo
-1198
LiveBench
-53.3%
BigCodeBench
-46.1%
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 #234), placing it in the top 20% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 3.1 70B InstructCompetitive

Scores 65/100 (rank #196), placing it in the top 33% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 3.1 70B Instruct has a 25-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-6 Luna Pro when you need:

  • Processing long documents or large codebases (1050K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Llama 3.1 70B Instruct when you need:

  • Self-hosted deployments where you need full control over the model
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
Llama 3.1 70B InstructBest Value
Input cost$0.40/M tokens
Output cost$0.40/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$12.00

Llama 3.1 70B Instruct offers 25% better value per quality point. At 1M tokens/day, you'd spend $9.00/month with GPT-6 Luna Pro vs $12.00/month with Llama 3.1 70B Instruct - a $3.00 monthly difference.

Latency & Speed
GPT-6 Luna ProFaster
Speed score0/100
Llama 3.1 70B Instruct
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. Llama 3.1 70B Instruct 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 ($0.40/M) reduces costs when processing thousands of records daily

Llama 3.1 70B Instruct

Creative writing & content

Higher overall composite score (65/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.1 70B Instruct

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:
Llama 3.1 70B Instruct

Llama 3.1 70B Instruct clearly outperforms GPT-6 Luna Pro with a significant 25.299999999999997-point lead. For most general use cases, Llama 3.1 70B Instruct is the stronger choice. However, GPT-6 Luna Pro may still excel in niche scenarios.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 25% 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 Meta

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-6 Luna ProLlama 3.1 70B Instruct
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-6 Luna Pro

OpenAI

Best Value
$0.7800
estimated monthly cost

Llama 3.1 70B Instruct

Meta

$1.20
estimated monthly cost

GPT-6 Luna Pro saves you $0.4200/month

That's 35% cheaper than Llama 3.1 70B Instruct 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 ProLlama 3.1 70B Instruct
Context Window1.1M131K
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedSep 22, 2026Jul 23, 2024
Last updated: 8m ago

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GPT-6 Luna Pro vs Llama 3.1 70B Instruct (2026) | LM Market Cap