| Signal | GPT-3.5 Turbo (older v0613) | Delta | Llama 3.2 1B Instruct |
|---|---|---|---|
Capabilities | 50 | +33 | |
Pricing | 98 | -2 | |
Context window size | 57 | -18 | |
Recency | 0 | -25 | |
Output Capacity | 60 | +40 | |
Benchmarks | 0 | -19 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
40
current score
GPT-3.5 Turbo (older v0613)
right now
17.8
current score
OpenAI
Meta
Llama 3.2 1B Instruct saves you $187.30/month
That's $2247.60/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 3.2 1B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 18 | GPT-3.5 Turbo (older v0613) |
| Rank | #307 | #339 | GPT-3.5 Turbo (older v0613) |
| Quality Rank | #307 | #339 | GPT-3.5 Turbo (older v0613) |
| Adoption Rank | #307 | #339 | GPT-3.5 Turbo (older v0613) |
| Parameters | -- | 1B | -- |
| Context Window | 4K | 60K | Llama 3.2 1B Instruct |
| Pricing | $1.00/$2.00/M | $0.03/$0.20/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 17 | GPT-3.5 Turbo (older v0613) |
| Pricing | 98 | 100 | Llama 3.2 1B Instruct |
| Context window size | 57 | 76 | Llama 3.2 1B Instruct |
| Recency | 0 | 25 | Llama 3.2 1B Instruct |
| Output Capacity | 60 | 20 | GPT-3.5 Turbo (older v0613) |
| Benchmarks | -- | 19 | Llama 3.2 1B 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 40/100 (rank #307), placing it in the top -6% of all 290 models tracked.
Scores 18/100 (rank #339), placing it in the top -17% of all 290 models tracked.
GPT-3.5 Turbo (older v0613) has a 22-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Llama 3.2 1B Instruct offers 92% better value per quality point. At 1M tokens/day, you'd spend $3.40/month with Llama 3.2 1B Instruct vs $45.00/month with GPT-3.5 Turbo (older v0613) - a $41.59 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 1B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (60K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo (older v0613) clearly outperforms Llama 3.2 1B Instruct with a significant 22.2-point lead. For most general use cases, GPT-3.5 Turbo (older v0613) is the stronger choice. However, Llama 3.2 1B Instruct may still excel in niche scenarios.
Best for Quality
GPT-3.5 Turbo (older v0613)
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 1B Instruct
92% 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 3.2 1B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama 3.2 1B Instruct saves you $3.91/month
That's 93% 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 3.2 1B Instruct |
|---|---|---|
| Context Window | 4K | 60K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Jan 25, 2024 | Sep 25, 2024 |