| Signal | GPT-3.5 Turbo | Delta | GPT-3.5 Turbo 16k |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | -2 | |
Context window size | 67 | -- | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 0 wins | of 5 | 1 wins |
8
days higher
5
days
17
days higher
OpenAI
OpenAI
GPT-3.5 Turbo saves you $375.00/month
That's $4500.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #294 | #293 | GPT-3.5 Turbo 16k |
| Quality Rank | #294 | #293 | GPT-3.5 Turbo 16k |
| Adoption Rank | #294 | #293 | GPT-3.5 Turbo 16k |
| Parameters | -- | -- | -- |
| Context Window | 16K | 16K | -- |
| Pricing | $0.50/$1.50/M | $3.00/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo |
| Pricing | 2 | 4 | GPT-3.5 Turbo 16k |
| Context window size | 67 | 67 | 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 40/100 (rank #293), placing it in the top -1% of all 290 models tracked.
With only a 0-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 71% better value per quality point. At 1M tokens/day, you'd spend $30.00/month with GPT-3.5 Turbo vs $105.00/month with GPT-3.5 Turbo 16k - a $75.00 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-3.5 Turbo 16k are extremely close in overall performance (only 0 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
71% 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-3.5 Turbo 16k |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-3.5 Turbo saves you $7.50/month
That's 74% cheaper than GPT-3.5 Turbo 16k 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-3.5 Turbo 16k |
|---|---|---|
| Context Window | 16K | 16K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | May 28, 2023 | Aug 28, 2023 |
Both GPT-3.5 Turbo and GPT-3.5 Turbo 16k score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-3.5 Turbo is ranked #294 and GPT-3.5 Turbo 16k is ranked #293 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-3.5 Turbo 16k's $4.00/M output tokens - 2.7x more expensive. Input token pricing: GPT-3.5 Turbo at $0.50/M vs GPT-3.5 Turbo 16k at $3.00/M.
GPT-3.5 Turbo has a larger context window of 16,385 tokens compared to GPT-3.5 Turbo 16k's 16,385 tokens. A larger context window means the model can process longer documents and conversations.