| Signal | GPT-3.5 Turbo Instruct | Delta | Inflection 3 Pi |
|---|---|---|---|
Capabilities | 33 | +17 | |
Pricing | 98 | +8 | |
Context window size | 52 | -4 | |
Recency | 0 | -25 | |
Output Capacity | 60 | +10 | |
| Overall Result | 3 wins | of 5 | 2 wins |
Score History
33.6
current score
Tied
right now
33.6
current score
OpenAI
Inflection
GPT-3.5 Turbo Instruct saves you $500.00/month
That's $6000.00/year compared to Inflection 3 Pi at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo Instruct | Inflection 3 Pi | Winner |
|---|---|---|---|
| Overall Score | 34 | 34 | -- |
| Rank | #323 | #322 | Inflection 3 Pi |
| Quality Rank | #323 | #322 | Inflection 3 Pi |
| Adoption Rank | #323 | #322 | Inflection 3 Pi |
| Parameters | -- | -- | -- |
| Context Window | 4K | 8K | Inflection 3 Pi |
| Pricing | $1.50/$2.00/M | $2.50/$10.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 17 | GPT-3.5 Turbo Instruct |
| Pricing | 98 | 90 | GPT-3.5 Turbo Instruct |
| Context window size | 52 | 56 | Inflection 3 Pi |
| Recency | 0 | 25 | Inflection 3 Pi |
| Output Capacity | 60 | 50 | GPT-3.5 Turbo Instruct |
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 34/100 (rank #323), placing it in the top -11% of all 290 models tracked.
Scores 34/100 (rank #322), placing it in the top -11% 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 Instruct offers 72% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-3.5 Turbo Instruct vs $187.50/month with Inflection 3 Pi - a $135.00 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-3.5 Turbo Instruct 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 (34/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo Instruct and Inflection 3 Pi 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 Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo Instruct
72% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo Instruct
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo Instruct
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo Instruct
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo Instruct | Inflection 3 Pi |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Inflection
GPT-3.5 Turbo Instruct saves you $11.40/month
That's 69% cheaper than Inflection 3 Pi 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 Instruct | Inflection 3 Pi |
|---|---|---|
| Context Window | 4K | 8K |
| Max Output Tokens | 4,096 | 1,024 |
| Open Source | No | No |
| Created | Sep 28, 2023 | Oct 11, 2024 |