| Signal | GPT-3.5 Turbo (older v0613) | Delta | GPT-4o (2024-05-13) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 98 | +13 | |
Context window size | 57 | -24 | |
Recency | 0 | -7 | |
Output Capacity | 60 | -- | |
| Overall Result | 1 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
OpenAI
OpenAI
GPT-3.5 Turbo (older v0613) saves you $1050.00/month
That's $12600.00/year compared to GPT-4o (2024-05-13) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (older v0613) | GPT-4o (2024-05-13) | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #289 | #287 | GPT-4o (2024-05-13) |
| Quality Rank | #289 | #287 | GPT-4o (2024-05-13) |
| Adoption Rank | #289 | #287 | GPT-4o (2024-05-13) |
| Parameters | -- | -- | -- |
| Context Window | 4K | 128K | GPT-4o (2024-05-13) |
| Pricing | $1.00/$2.00/M | $5.00/$15.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | GPT-4o (2024-05-13) |
| Pricing | 98 | 85 | GPT-3.5 Turbo (older v0613) |
| Context window size | 57 | 81 | GPT-4o (2024-05-13) |
| Recency | 0 | 7 | GPT-4o (2024-05-13) |
| Output Capacity | 60 | 60 | GPT-3.5 Turbo (older v0613) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #289), placing it in the top 1% of all 290 models tracked.
Scores 40/100 (rank #287), 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 (older v0613) offers 85% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-3.5 Turbo (older v0613) vs $300.00/month with GPT-4o (2024-05-13) - a $255.00 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 (128K 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 (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-3.5 Turbo (older v0613) and GPT-4o (2024-05-13) 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 (older v0613)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo (older v0613)
85% 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-4o (2024-05-13) |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
OpenAI
GPT-3.5 Turbo (older v0613) saves you $22.80/month
That's 84% cheaper than GPT-4o (2024-05-13) 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-4o (2024-05-13) |
|---|---|---|
| Context Window | 4K | 128K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Jan 25, 2024 | May 13, 2024 |
Both GPT-3.5 Turbo (older v0613) and GPT-4o (2024-05-13) score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-3.5 Turbo (older v0613) is ranked #289 and GPT-4o (2024-05-13) is ranked #287 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT-3.5 Turbo (older v0613) is cheaper at $2.00/M output tokens vs GPT-4o (2024-05-13)'s $15.00/M output tokens - 7.5x more expensive. Input token pricing: GPT-3.5 Turbo (older v0613) at $1.00/M vs GPT-4o (2024-05-13) at $5.00/M.
GPT-4o (2024-05-13) has a larger context window of 128,000 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.