| Signal | GPT-3.5 Turbo 16k | Delta | GPT-4 (older v0314) |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 4 | -56 | |
Context window size | 67 | +5 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 1 wins | of 5 | 1 wins |
13
days higher
3
days
14
days higher
OpenAI
OpenAI
GPT-3.5 Turbo 16k saves you $5500.00/month
That's $66000.00/year compared to GPT-4 (older v0314) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo 16k | GPT-4 (older v0314) | Winner |
|---|---|---|---|
| Overall Score | 40 | 39 | GPT-3.5 Turbo 16k |
| Rank | #293 | #295 | GPT-3.5 Turbo 16k |
| Quality Rank | #293 | #295 | GPT-3.5 Turbo 16k |
| Adoption Rank | #293 | #295 | GPT-3.5 Turbo 16k |
| Parameters | -- | -- | -- |
| Context Window | 16K | 8K | GPT-3.5 Turbo 16k |
| Pricing | $3.00/$4.00/M | $30.00/$60.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo 16k |
| Pricing | 4 | 60 | GPT-4 (older v0314) |
| Context window size | 67 | 62 | GPT-3.5 Turbo 16k |
| Recency | 0 | 0 | GPT-3.5 Turbo 16k |
| Output Capacity | 60 | 60 | GPT-3.5 Turbo 16k |
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 #293), placing it in the top -1% of all 290 models tracked.
Scores 39/100 (rank #295), placing it in the top -1% 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 16k offers 92% better value per quality point. At 1M tokens/day, you'd spend $105.00/month with GPT-3.5 Turbo 16k vs $1350.00/month with GPT-4 (older v0314) - a $1245.00 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 16k 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 ($4.00/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 16k 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 16k
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo 16k
92% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo 16k
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo 16k
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo 16k
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo 16k | GPT-4 (older v0314) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-3.5 Turbo 16k saves you $115.80/month
That's 92% 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 16k | GPT-4 (older v0314) |
|---|---|---|
| Context Window | 16K | 8K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Aug 28, 2023 | May 28, 2023 |
GPT-3.5 Turbo 16k scores 40/100 (rank #293) compared to GPT-4 (older v0314)'s 39/100 (rank #295), giving it a 1-point advantage. GPT-3.5 Turbo 16k is the stronger overall choice, though GPT-4 (older v0314) may excel in specific areas like certain benchmarks.
GPT-3.5 Turbo 16k is ranked #293 and GPT-4 (older v0314) is ranked #295 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 16k is cheaper at $4.00/M output tokens vs GPT-4 (older v0314)'s $60.00/M output tokens - 15.0x more expensive. Input token pricing: GPT-3.5 Turbo 16k at $3.00/M vs GPT-4 (older v0314) at $30.00/M.
GPT-3.5 Turbo 16k 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.