| Signal | GPT-4 Turbo (older v1106) | Delta | Llama 3.2 3B Instruct (free) |
|---|---|---|---|
Capabilities | 50 | +33 | |
Pricing | 30 | -- | |
Context window size | 81 | 0 | |
Recency | 0 | -35 | |
Output Capacity | 60 | +40 | |
| Overall Result | 2 wins | of 5 | 2 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Meta
Llama 3.2 3B Instruct (free) saves you $2500.00/month
That's $30000.00/year compared to GPT-4 Turbo (older v1106) at your current usage level of 100K calls/month.
| Metric | GPT-4 Turbo (older v1106) | Llama 3.2 3B Instruct (free) | Winner |
|---|---|---|---|
| Overall Score | 48 | 34 | GPT-4 Turbo (older v1106) |
| Rank | #256 | #289 | GPT-4 Turbo (older v1106) |
| Quality Rank | #256 | #289 | GPT-4 Turbo (older v1106) |
| Adoption Rank | #256 | #289 | GPT-4 Turbo (older v1106) |
| Parameters | -- | 3B | -- |
| Context Window | 128K | 131K | Llama 3.2 3B Instruct (free) |
| Pricing | $10.00/$30.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 17 | GPT-4 Turbo (older v1106) |
| Pricing | 30 | 30 | GPT-4 Turbo (older v1106) |
| Context window size | 81 | 81 | Llama 3.2 3B Instruct (free) |
| Recency | 0 | 35 | Llama 3.2 3B Instruct (free) |
| Output Capacity | 60 | 20 | GPT-4 Turbo (older v1106) |
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 48/100 (rank #256), placing it in the top 12% of all 290 models tracked.
Scores 34/100 (rank #289), placing it in the top 1% of all 290 models tracked.
GPT-4 Turbo (older v1106) has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 3.2 3B Instruct (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (48/100) correlates with better nuance, coherence, and style in long-form content
GPT-4 Turbo (older v1106) clearly outperforms Llama 3.2 3B Instruct (free) with a significant 13.900000000000006-point lead. For most general use cases, GPT-4 Turbo (older v1106) is the stronger choice. However, Llama 3.2 3B Instruct (free) may still excel in niche scenarios.
Best for Quality
GPT-4 Turbo (older v1106)
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 3.2 3B Instruct (free)
100% lower pricing; better value at scale
Best for Reliability
GPT-4 Turbo (older v1106)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 Turbo (older v1106)
Stronger community support and better developer experience
Best for Production
GPT-4 Turbo (older v1106)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4 Turbo (older v1106) | Llama 3.2 3B Instruct (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Meta
Llama 3.2 3B Instruct (free) saves you $54.00/month
That's 100% cheaper than GPT-4 Turbo (older v1106) 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-4 Turbo (older v1106) | Llama 3.2 3B Instruct (free) |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,096 | -- |
| Open Source | Yes | Yes |
| Created | Nov 6, 2023 | Sep 25, 2024 |
GPT-4 Turbo (older v1106) scores 48/100 (rank #256) compared to Llama 3.2 3B Instruct (free)'s 34/100 (rank #289), giving it a 14-point advantage. GPT-4 Turbo (older v1106) is the stronger overall choice, though Llama 3.2 3B Instruct (free) may excel in specific areas like cost efficiency.
GPT-4 Turbo (older v1106) is ranked #256 and Llama 3.2 3B Instruct (free) is ranked #289 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 3.2 3B Instruct (free) is cheaper at $0.00/M output tokens vs GPT-4 Turbo (older v1106)'s $30.00/M output tokens — 30000.0x more expensive. Input token pricing: GPT-4 Turbo (older v1106) at $10.00/M vs Llama 3.2 3B Instruct (free) at $0.00/M.
Llama 3.2 3B Instruct (free) has a larger context window of 131,072 tokens compared to GPT-4 Turbo (older v1106)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.