| Signal | GPT-3.5 Turbo (older v0613) | Delta | Llama 3 70B Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 2 | +1 | |
Context window size | 57 | -5 | |
Recency | 0 | -6 | |
Output Capacity | 60 | -5 | |
| Overall Result | 2 wins | of 5 | 3 wins |
26
days ranked higher
1
days
3
days ranked higher
OpenAI
Meta
Llama 3 70B Instruct saves you $112.00/month
That's $1344.00/year compared to GPT-3.5 Turbo (older v0613) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (older v0613) | Llama 3 70B Instruct | Winner |
|---|---|---|---|
| Overall Score | 43 | 38 | GPT-3.5 Turbo (older v0613) |
| Rank | #273 | #281 | GPT-3.5 Turbo (older v0613) |
| Quality Rank | #273 | #281 | GPT-3.5 Turbo (older v0613) |
| Adoption Rank | #273 | #281 | GPT-3.5 Turbo (older v0613) |
| Parameters | -- | 70B | -- |
| Context Window | 4K | 8K | Llama 3 70B Instruct |
| Pricing | $1.00/$2.00/M | $0.51/$0.74/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | GPT-3.5 Turbo (older v0613) |
| Pricing | 2 | 1 | GPT-3.5 Turbo (older v0613) |
| Context window size | 57 | 62 | Llama 3 70B Instruct |
| Recency | 0 | 6 | Llama 3 70B Instruct |
| Output Capacity | 60 | 65 | Llama 3 70B Instruct |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 43/100 (rank #273), placing it in the top 6% of all 290 models tracked.
Scores 38/100 (rank #281), placing it in the top 3% of all 290 models tracked.
With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal — your choice should depend on pricing, latency requirements, and specific feature needs.
Llama 3 70B Instruct offers 58% better value per quality point. At 1M tokens/day, you'd spend $18.75/month with Llama 3 70B Instruct vs $45.00/month with GPT-3.5 Turbo (older v0613) — a $26.25 monthly difference.
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.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Llama 3 70B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (8K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.74/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (43/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo (older v0613) has a moderate advantage with a 4.600000000000001-point lead in composite score. It wins on more signal dimensions, but Llama 3 70B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-3.5 Turbo (older v0613)
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3 70B Instruct
58% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo (older v0613)
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo (older v0613)
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo (older v0613)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo (older v0613) | Llama 3 70B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama 3 70B Instruct saves you $2.39/month
That's 57% cheaper than GPT-3.5 Turbo (older v0613) 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.
| Parameter | GPT-3.5 Turbo (older v0613) | Llama 3 70B Instruct |
|---|---|---|
| Context Window | 4K | 8K |
| Max Output Tokens | 4,096 | 8,000 |
| Open Source | Yes | Yes |
| Created | Jan 25, 2024 | Apr 18, 2024 |
GPT-3.5 Turbo (older v0613) scores 43/100 (rank #273) compared to Llama 3 70B Instruct's 38/100 (rank #281), giving it a 5-point advantage. GPT-3.5 Turbo (older v0613) is the stronger overall choice, though Llama 3 70B Instruct may excel in specific areas like cost efficiency.
GPT-3.5 Turbo (older v0613) is ranked #273 and Llama 3 70B Instruct is ranked #281 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Llama 3 70B Instruct is cheaper at $0.74/M output tokens vs GPT-3.5 Turbo (older v0613)'s $2.00/M output tokens — 2.7x more expensive. Input token pricing: GPT-3.5 Turbo (older v0613) at $1.00/M vs Llama 3 70B Instruct at $0.51/M.
Llama 3 70B Instruct has a larger context window of 8,192 tokens compared to GPT-3.5 Turbo (older v0613)'s 4,095 tokens. A larger context window means the model can process longer documents and conversations.