GPT-3.5 Turbo (older v0613) vs Nemotron 3 Ultra
| Signal | GPT-3.5 Turbo (older v0613) | Delta | Nemotron 3 Ultra |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 98 | +0 | |
Context window size | 57 | -29 | |
Recency | 0 | -100 | |
Output Capacity | 57 | -27 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
GPT-3.5 Turbo (older v0613)
OpenAI
Nemotron 3 Ultra
NVIDIA
Nemotron 3 Ultra saves you $20.00/month
That's $240.00/year compared to GPT-3.5 Turbo (older v0613) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (older v0613) | Nemotron 3 Ultra | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #402 | #302 | Nemotron 3 Ultra |
| Quality Rank | #402 | #302 | Nemotron 3 Ultra |
| Adoption Rank | #402 | #302 | Nemotron 3 Ultra |
| Parameters | -- | 550B | -- |
| Context Window | 4K | 262K | Nemotron 3 Ultra |
| Pricing | $1.00/$2.00/M | $0.60/$2.40/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Nemotron 3 Ultra |
| Pricing | 98 | 98 | GPT-3.5 Turbo (older v0613) |
| Context window size | 57 | 86 | Nemotron 3 Ultra |
| Recency | 0 | 100 | Nemotron 3 Ultra |
| Output Capacity | 57 | 84 | Nemotron 3 Ultra |
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 #402), placing it in the top -38% of all 290 models tracked.
Scores 40/100 (rank #302), placing it in the top -4% 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.
Choose GPT-3.5 Turbo (older v0613) when you need:
- Budget-friendly applications with moderate quality requirements
Choose Nemotron 3 Ultra when you need:
- Processing long documents or large codebases (262K token context)
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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 (older v0613) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K 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
GPT-3.5 Turbo (older v0613) and Nemotron 3 Ultra 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.
By 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)
0% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 0% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-3.5 Turbo (older v0613) | Nemotron 3 Ultra |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
GPT-3.5 Turbo (older v0613)
OpenAI
Nemotron 3 Ultra
NVIDIA
Nemotron 3 Ultra saves you $0.2400/month
That's 6% cheaper than GPT-3.5 Turbo (older v0613) 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) | Nemotron 3 Ultra |
|---|---|---|
| Context Window | 4K | 262K |
| Max Output Tokens | 3,685 | 182,520 |
| Open Source | No | Yes |
| Created | Jan 25, 2024 | Jun 4, 2026 |