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GPT Luna Latest vs Llama 3.3 70B Instruct

GPT Luna Latest

~openai

40#246
vs
Signal-by-Signal Comparison
SignalGPT Luna LatestDeltaLlama 3.3 70B Instruct
Capabilities
100
+50
50
Pricing
99
-1
100
Context window size
96
+14
81
Recency
100
+86
14
Output Capacity
82
+14
67
Benchmarks
0
-71
71
Overall Result
4 wins
of 6
2 wins
GPT Luna Latest wins 4 of 6 signals

Score History

Score History (32 data points)
GPT Luna LatestLlama 3.3 70B Instruct
GPT Luna Latest

40

current score

Leader

Llama 3.3 70B Instruct

right now

Llama 3.3 70B Instruct

66.8

current score

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

GPT Luna Latest

~openai

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

Llama 3.3 70B Instruct

Meta

Best Value
Per request$0.000260
Daily$0.87
Monthly$26.00
Annual$312.00

Llama 3.3 70B Instruct saves you $54.00/month

That's $648.00/year compared to GPT Luna Latest at your current usage level of 100K calls/month.

68% cheaper
Choose Llama 3.3 70B Instruct for cost optimization

GPT Luna Latest pricing:
Input:$0.20/M tokens
Output:$1.20/M tokens
Llama 3.3 70B Instruct pricing:
Input:$0.10/M tokens
Output:$0.32/M tokens
GPT Luna Latest

~openai

40

Composite Score

Winner
Llama 3.3 70B Instruct

Meta

67

Composite Score

Signal-by-Signal Comparison
MetricGPT Luna LatestLlama 3.3 70B InstructWinner
Overall Score
40
67
Llama 3.3 70B Instruct
Rank#246#184
Llama 3.3 70B Instruct
Quality Rank#246#184
Llama 3.3 70B Instruct
Adoption Rank#246#184
Llama 3.3 70B Instruct
Parameters--70B--
Context Window1050K131K
GPT Luna Latest
Pricing$0.20/$1.20/M$0.10/$0.32/M--
Signal Scores
Capabilities
100
50
GPT Luna Latest
Pricing
99
100
Llama 3.3 70B Instruct
Context window size
96
81
GPT Luna Latest
Recency
100
14
GPT Luna Latest
Output Capacity
82
67
GPT Luna Latest
Benchmarks--
71
Llama 3.3 70B Instruct
Benchmark Head-to-Head(9 benchmarks)
GPT Luna: 0Llama 3.3: 0
GPT Luna
Llama 3.3
Normalized 0-100%
MMLU
-86.3%
MMLU-Pro
-68.9%
GPQA Diamond
-50.5%
MATH-500
-77%
HumanEval
-88.4%
IFEval
-92.1%
BBH
-82.8%
Arena Elo
-1243
BigCodeBench
-46.9%
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 Luna LatestEntry Level

Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Llama 3.3 70B InstructCompetitive

Scores 67/100 (rank #184), placing it in the top 37% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Llama 3.3 70B Instruct has a 27-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 Luna Latest 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 3.3 70B Instruct when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
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
Llama 3.3 70B InstructBest Value
Input cost$0.10/M tokens
Output cost$0.32/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$6.30

Llama 3.3 70B Instruct offers 70% better value per quality point. At 1M tokens/day, you'd spend $6.30/month with Llama 3.3 70B Instruct vs $21.00/month with GPT Luna Latest - a $14.70 monthly difference.

Latency & Speed
GPT Luna LatestFaster
Speed score0/100
Llama 3.3 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 Luna Latest

Customer support chatbot

Suitable for user-facing chat with competitive response times. Llama 3.3 70B Instruct also offers lower per-token costs for high-volume support

GPT Luna Latest

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 ($0.32/M) reduces costs when processing thousands of records daily

Llama 3.3 70B Instruct

Creative writing & content

Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content

Llama 3.3 70B Instruct

Image understanding & OCR

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

GPT Luna Latest
Which Should You Choose?
Our recommendation:
Llama 3.3 70B Instruct

Llama 3.3 70B Instruct clearly outperforms GPT Luna Latest with a significant 26.799999999999997-point lead. For most general use cases, Llama 3.3 70B Instruct 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 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

  • Choose for Cost - 70% lower pricing; better value at scale
Capability Comparison
CapabilityGPT Luna LatestLlama 3.3 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 Luna Latest

~openai

$1.80
estimated monthly cost

Llama 3.3 70B Instruct

Meta

Best Value
$0.5640
estimated monthly cost

Llama 3.3 70B Instruct saves you $1.24/month

That's 69% 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 Luna LatestLlama 3.3 70B Instruct
Context Window1.1M131K
Max Output Tokens128,00016,384
Open SourceNoYes
CreatedSep 11, 2026Dec 6, 2024
Last updated: 5m ago

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