| Signal | GPT-3.5 Turbo | Delta | GPT-4 (older v0314) |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | -58 | |
Context window size | 67 | +5 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
11
days higher
5
days
14
days higher
OpenAI
OpenAI
GPT-3.5 Turbo saves you $5875.00/month
That's $70500.00/year compared to GPT-4 (older v0314) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo | GPT-4 (older v0314) | Winner |
|---|---|---|---|
| Overall Score | 40 | 39 | GPT-3.5 Turbo |
| Rank | #294 | #296 | GPT-3.5 Turbo |
| Quality Rank | #294 | #296 | GPT-3.5 Turbo |
| Adoption Rank | #294 | #296 | GPT-3.5 Turbo |
| Parameters | -- | -- | -- |
| Context Window | 16K | 8K | GPT-3.5 Turbo |
| Pricing | $0.50/$1.50/M | $30.00/$60.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo |
| Pricing | 2 | 60 | GPT-4 (older v0314) |
| Context window size | 67 | 62 | GPT-3.5 Turbo |
| Recency | 0 | 0 | GPT-3.5 Turbo |
| Output Capacity | 60 | 60 | GPT-3.5 Turbo |
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 40/100 (rank #294), placing it in the top -1% 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 offers 98% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with GPT-3.5 Turbo vs $1350.00/month with GPT-4 (older v0314) - a $1320.00 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 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (16K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.50/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 and GPT-4 (older v0314) are extremely close in overall performance (only 0.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-3.5 Turbo
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo
98% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo | GPT-4 (older v0314) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-3.5 Turbo saves you $123.30/month
That's 98% 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 | GPT-4 (older v0314) |
|---|---|---|
| Context Window | 16K | 8K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | May 28, 2023 | May 28, 2023 |
GPT-3.5 Turbo scores 40/100 (rank #294) compared to GPT-4 (older v0314)'s 39/100 (rank #296), giving it a 1-point advantage. GPT-3.5 Turbo is the stronger overall choice, though GPT-4 (older v0314) may excel in specific areas like certain benchmarks.
GPT-3.5 Turbo is ranked #294 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 is cheaper at $1.50/M output tokens vs GPT-4 (older v0314)'s $60.00/M output tokens - 40.0x more expensive. Input token pricing: GPT-3.5 Turbo at $0.50/M vs GPT-4 (older v0314) at $30.00/M.
GPT-3.5 Turbo has a larger context window of 16,385 tokens compared to GPT-4 (older v0314)'s 8,191 tokens. A larger context window means the model can process longer documents and conversations.