Olmo 3 32B Think vs Llama 4 Scout
| Signal | Olmo 3 32B Think | Delta | Llama 4 Scout |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 54 | +3 | |
Pricing | 100 | 0 | |
Context window size | 69 | -31 | |
Recency | 90 | +42 | |
Output Capacity | 80 | +10 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
54.7
current score
Llama 4 Scout
right now
54.9
current score
Olmo 3 32B Think
Allen AI
Llama 4 Scout
Meta
Llama 4 Scout saves you $15.00/month
That's $180.00/year compared to Olmo 3 32B Think at your current usage level of 100K calls/month.
| Metric | Olmo 3 32B Think | Llama 4 Scout | Winner |
|---|---|---|---|
| Overall Score | 55 | 55 | Llama 4 Scout |
| Rank | #159 | #158 | Llama 4 Scout |
| Quality Rank | #159 | #158 | Llama 4 Scout |
| Adoption Rank | #159 | #158 | Llama 4 Scout |
| Parameters | 32B | -- | -- |
| Context Window | 66K | 10000K | Llama 4 Scout |
| Pricing | $0.15/$0.50/M | $0.10/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Llama 4 Scout |
| Benchmarks | 54 | 52 | Olmo 3 32B Think |
| Pricing | 100 | 100 | Llama 4 Scout |
| Context window size | 69 | 100 | Llama 4 Scout |
| Recency | 90 | 48 | Olmo 3 32B Think |
| Output Capacity | 80 | 70 | Olmo 3 32B Think |
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 55/100 (rank #159), placing it in the top 46% of all 290 models tracked.
Scores 55/100 (rank #158), placing it in the top 46% 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 Olmo 3 32B Think when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose Llama 4 Scout when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (10000K token context)
- Multimodal workflows that require image understanding
- Agentic applications using tool/function calling
- Self-hosted deployments where you need full control over the model
Llama 4 Scout offers 38% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Llama 4 Scout vs $9.75/month with Olmo 3 32B Think - a $3.75 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. Llama 4 Scout also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (10000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (55/100) 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
Olmo 3 32B Think and Llama 4 Scout are extremely close in overall performance (only 0.19999999999999574 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Olmo 3 32B Think
Marginally better benchmark scores; both are excellent
Best for Cost
Llama 4 Scout
38% lower pricing; better value at scale
Best for Reliability
Olmo 3 32B Think
Higher uptime and faster response speeds
Best for Prototyping
Olmo 3 32B Think
Stronger community support and better developer experience
Best for Production
Olmo 3 32B Think
Wider enterprise adoption and proven at scale
by Allen AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- 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 | Olmo 3 32B Think | Llama 4 Scout |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Olmo 3 32B Think
Allen AI
Llama 4 Scout
Meta
Llama 4 Scout saves you $0.3300/month
That's 38% cheaper than Olmo 3 32B Think 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 32B Think | Llama 4 Scout |
|---|---|---|
| Context Window | 66K | 10M |
| Max Output Tokens | 65,536 | 16,384 |
| Open Source | Yes | Yes |
| Created | Nov 21, 2025 | Apr 5, 2025 |