| Signal | GPT-3.5 Turbo (older v0613) | Delta | GPT-4 (older v0314) |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | -58 | |
Context window size | 57 | -5 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 0 wins | of 5 | 2 wins |
6
days higher
2
days
22
days higher
OpenAI
OpenAI
GPT-3.5 Turbo (older v0613) saves you $5800.00/month
That's $69600.00/year compared to GPT-4 (older v0314) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (older v0613) | GPT-4 (older v0314) | Winner |
|---|---|---|---|
| Overall Score | 38 | 39 | GPT-4 (older v0314) |
| Rank | #298 | #296 | GPT-4 (older v0314) |
| Quality Rank | #298 | #296 | GPT-4 (older v0314) |
| Adoption Rank | #298 | #296 | GPT-4 (older v0314) |
| Parameters | -- | -- | -- |
| Context Window | 4K | 8K | GPT-4 (older v0314) |
| Pricing | $1.00/$2.00/M | $30.00/$60.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo (older v0613) |
| Pricing | 2 | 60 | GPT-4 (older v0314) |
| Context window size | 57 | 62 | GPT-4 (older v0314) |
| Recency | 0 | 0 | GPT-3.5 Turbo (older v0613) |
| Output Capacity | 60 | 60 | GPT-3.5 Turbo (older v0613) |
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 38/100 (rank #298), placing it in the top -2% of all 290 models tracked.
Scores 39/100 (rank #296), placing it in the top -2% of all 290 models tracked.
With only a 1-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.
GPT-3.5 Turbo (older v0613) offers 97% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-3.5 Turbo (older v0613) vs $1350.00/month with GPT-4 (older v0314) - a $1305.00 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. GPT-3.5 Turbo (older v0613) 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (39/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo (older v0613) and GPT-4 (older v0314) are extremely close in overall performance (only 1 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-3.5 Turbo (older v0613)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo (older v0613)
97% 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) | GPT-4 (older v0314) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-3.5 Turbo (older v0613) saves you $121.80/month
That's 97% cheaper than GPT-4 (older v0314) 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) | GPT-4 (older v0314) |
|---|---|---|
| Context Window | 4K | 8K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Jan 25, 2024 | May 28, 2023 |
GPT-4 (older v0314) scores 39/100 (rank #296) compared to GPT-3.5 Turbo (older v0613)'s 38/100 (rank #298), giving it a 1-point advantage. GPT-4 (older v0314) is the stronger overall choice, though GPT-3.5 Turbo (older v0613) may excel in specific areas like cost efficiency.
GPT-3.5 Turbo (older v0613) is ranked #298 and GPT-4 (older v0314) is ranked #296 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.
GPT-3.5 Turbo (older v0613) is cheaper at $2.00/M output tokens vs GPT-4 (older v0314)'s $60.00/M output tokens - 30.0x more expensive. Input token pricing: GPT-3.5 Turbo (older v0613) at $1.00/M vs GPT-4 (older v0314) at $30.00/M.
GPT-4 (older v0314) has a larger context window of 8,191 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.