| Signal | Olmo 3.1 32B Instruct | Delta | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 58 | -2 | |
Pricing | 1 | -1 | |
Context window size | 76 | -5 | |
Recency | 100 | +33 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 6 | 3 wins |
5
days higher
1
days
24
days higher
Allen AI
NVIDIA
Olmo 3.1 32B Instruct saves you $100.00/month
That's $1200.00/year compared to Llama 3.1 Nemotron Ultra 253B v1 at your current usage level of 100K calls/month.
| Metric | Olmo 3.1 32B Instruct | Llama 3.1 Nemotron Ultra 253B v1 | Winner |
|---|---|---|---|
| Overall Score | 58 | 60 | Llama 3.1 Nemotron Ultra 253B v1 |
| Rank | #102 | #100 | Llama 3.1 Nemotron Ultra 253B v1 |
| Quality Rank | #102 | #100 | Llama 3.1 Nemotron Ultra 253B v1 |
| Adoption Rank | #102 | #100 | Llama 3.1 Nemotron Ultra 253B v1 |
| Parameters | 32B | 253B | -- |
| Context Window | 66K | 131K | Llama 3.1 Nemotron Ultra 253B v1 |
| Pricing | $0.20/$0.60/M | $0.60/$1.80/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Olmo 3.1 32B Instruct |
| Benchmarks | 58 | 60 | Llama 3.1 Nemotron Ultra 253B v1 |
| Pricing | 1 | 2 | Llama 3.1 Nemotron Ultra 253B v1 |
| Context window size | 76 | 81 | Llama 3.1 Nemotron Ultra 253B v1 |
| Recency | 100 | 67 | Olmo 3.1 32B Instruct |
| Output Capacity | 20 | 20 | Olmo 3.1 32B 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%). Here's what the scores mean for these two models:
Scores 58/100 (rank #102), placing it in the top 65% of all 290 models tracked.
Scores 60/100 (rank #100), placing it in the top 66% of all 290 models tracked.
With only a 2-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.
Olmo 3.1 32B Instruct offers 67% better value per quality point. At 1M tokens/day, you'd spend $12.00/month with Olmo 3.1 32B Instruct vs $36.00/month with Llama 3.1 Nemotron Ultra 253B v1 - a $24.00 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. Olmo 3.1 32B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (60/100) correlates with better nuance, coherence, and style in long-form content
Olmo 3.1 32B Instruct and Llama 3.1 Nemotron Ultra 253B v1 are extremely close in overall performance (only 2.200000000000003 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Olmo 3.1 32B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Olmo 3.1 32B Instruct
67% lower pricing; better value at scale
Best for Reliability
Olmo 3.1 32B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Olmo 3.1 32B Instruct
Stronger community support and better developer experience
Best for Production
Olmo 3.1 32B Instruct
Wider enterprise adoption and proven at scale
by Allen AI
| Capability | Olmo 3.1 32B Instruct | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Allen AI
NVIDIA
Olmo 3.1 32B Instruct saves you $2.16/month
That's 67% cheaper than Llama 3.1 Nemotron Ultra 253B v1 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 | Olmo 3.1 32B Instruct | Llama 3.1 Nemotron Ultra 253B v1 |
|---|---|---|
| Context Window | 66K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | Yes | Yes |
| Created | Jan 6, 2026 | Apr 8, 2025 |
Llama 3.1 Nemotron Ultra 253B v1 scores 60/100 (rank #100) compared to Olmo 3.1 32B Instruct's 58/100 (rank #102), giving it a 2-point advantage. Llama 3.1 Nemotron Ultra 253B v1 is the stronger overall choice, though Olmo 3.1 32B Instruct may excel in specific areas like cost efficiency.
Olmo 3.1 32B Instruct is ranked #102 and Llama 3.1 Nemotron Ultra 253B v1 is ranked #100 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.
Olmo 3.1 32B Instruct is cheaper at $0.60/M output tokens vs Llama 3.1 Nemotron Ultra 253B v1's $1.80/M output tokens - 3.0x more expensive. Input token pricing: Olmo 3.1 32B Instruct at $0.20/M vs Llama 3.1 Nemotron Ultra 253B v1 at $0.60/M.
Llama 3.1 Nemotron Ultra 253B v1 has a larger context window of 131,072 tokens compared to Olmo 3.1 32B Instruct's 65,536 tokens. A larger context window means the model can process longer documents and conversations.