GPT-3.5 Turbo Instruct vs Llama 3.2 3B Instruct
| Signal | GPT-3.5 Turbo Instruct | Delta | Llama 3.2 3B Instruct |
|---|---|---|---|
Capabilities | 33 | -- | |
Pricing | 98 | -2 | |
Context window size | 52 | -21 | |
Recency | 0 | -14 | |
Output Capacity | 60 | -25 | |
Benchmarks | 0 | -33 | |
| Overall Result | 0 wins | of 6 | 5 wins |
Score History
33.6
current score
Llama 3.2 3B Instruct
right now
33.8
current score
GPT-3.5 Turbo Instruct
OpenAI
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct saves you $228.50/month
That's $2742.00/year compared to GPT-3.5 Turbo Instruct at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo Instruct | Llama 3.2 3B Instruct | Winner |
|---|---|---|---|
| Overall Score | 34 | 34 | Llama 3.2 3B Instruct |
| Rank | #313 | #312 | Llama 3.2 3B Instruct |
| Quality Rank | #313 | #312 | Llama 3.2 3B Instruct |
| Adoption Rank | #313 | #312 | Llama 3.2 3B Instruct |
| Parameters | -- | 3B | -- |
| Context Window | 4K | 131K | Llama 3.2 3B Instruct |
| Pricing | $1.50/$2.00/M | $0.05/$0.33/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 33 | GPT-3.5 Turbo Instruct |
| Pricing | 98 | 100 | Llama 3.2 3B Instruct |
| Context window size | 52 | 73 | Llama 3.2 3B Instruct |
| Recency | 0 | 14 | Llama 3.2 3B Instruct |
| Output Capacity | 60 | 85 | Llama 3.2 3B Instruct |
| Benchmarks | -- | 33 | Llama 3.2 3B Instruct |
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.
Scores 34/100 (rank #313), placing it in the top -8% of all 290 models tracked.
Scores 34/100 (rank #312), placing it in the top -7% of all 290 models tracked.
With only a 0-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.
Choose GPT-3.5 Turbo Instruct when you need:
- Budget-friendly applications with moderate quality requirements
Choose Llama 3.2 3B Instruct when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (131K token context)
- Self-hosted deployments where you need full control over the model
Llama 3.2 3B Instruct offers 89% better value per quality point. At 1M tokens/day, you'd spend $5.70/month with Llama 3.2 3B Instruct vs $52.50/month with GPT-3.5 Turbo Instruct - a $46.80 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Llama 3.2 3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.33/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (34/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo Instruct and Llama 3.2 3B Instruct are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-3.5 Turbo Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 3B Instruct
89% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo Instruct
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo Instruct
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo Instruct
Wider enterprise adoption and proven at scale
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
| Capability | GPT-3.5 Turbo Instruct | Llama 3.2 3B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-3.5 Turbo Instruct
OpenAI
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct saves you $4.61/month
That's 90% cheaper than GPT-3.5 Turbo 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.
| Parameter | GPT-3.5 Turbo Instruct | Llama 3.2 3B Instruct |
|---|---|---|
| Context Window | 4K | 131K |
| Max Output Tokens | 4,096 | 131,072 |
| Open Source | No | Yes |
| Created | Sep 28, 2023 | Sep 25, 2024 |