| Signal | Olmo 3 32B Think | Delta | GPT-4.1 Mini |
|---|---|---|---|
Capabilities | 50 | -33 | |
Benchmarks | 54 | +3 | |
Pricing | 100 | +1 | |
Context window size | 76 | -19 | |
Recency | 100 | +32 | |
Output Capacity | 80 | +5 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
55
current score
Olmo 3 32B Think
right now
53.6
current score
Allen AI
OpenAI
Olmo 3 32B Think saves you $80.00/month
That's $960.00/year compared to GPT-4.1 Mini at your current usage level of 100K calls/month.
| Metric | Olmo 3 32B Think | GPT-4.1 Mini | Winner |
|---|---|---|---|
| Overall Score | 55 | 54 | Olmo 3 32B Think |
| Rank | #106 | #108 | Olmo 3 32B Think |
| Quality Rank | #106 | #108 | Olmo 3 32B Think |
| Adoption Rank | #106 | #108 | Olmo 3 32B Think |
| Parameters | 32B | -- | -- |
| Context Window | 66K | 1048K | GPT-4.1 Mini |
| Pricing | $0.15/$0.50/M | $0.40/$1.60/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | GPT-4.1 Mini |
| Benchmarks | 54 | 51 | Olmo 3 32B Think |
| Pricing | 100 | 98 | Olmo 3 32B Think |
| Context window size | 76 | 96 | GPT-4.1 Mini |
| Recency | 100 | 68 | Olmo 3 32B Think |
| Output Capacity | 80 | 75 | 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 #106), placing it in the top 64% of all 290 models tracked.
Scores 54/100 (rank #108), placing it in the top 63% of all 290 models tracked.
With only a 1-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 32B Think offers 68% better value per quality point. At 1M tokens/day, you'd spend $9.75/month with Olmo 3 32B Think vs $30.00/month with GPT-4.1 Mini - a $20.25 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 32B Think also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1048K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.50/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 GPT-4.1 Mini are extremely close in overall performance (only 1.3999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Olmo 3 32B Think
Marginally better benchmark scores; both are excellent
Best for Cost
Olmo 3 32B Think
68% 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
| Capability | Olmo 3 32B Think | GPT-4.1 Mini |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Allen AI
OpenAI
Olmo 3 32B Think saves you $1.77/month
That's 67% cheaper than GPT-4.1 Mini 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 | GPT-4.1 Mini |
|---|---|---|
| Context Window | 66K | 1.0M |
| Max Output Tokens | 65,536 | 32,768 |
| Open Source | Yes | No |
| Created | Nov 21, 2025 | Apr 14, 2025 |
Olmo 3 32B Think scores 55/100 (rank #106) compared to GPT-4.1 Mini's 54/100 (rank #108), giving it a 1-point advantage. Olmo 3 32B Think is the stronger overall choice, though GPT-4.1 Mini may excel in specific areas like certain benchmarks.
Olmo 3 32B Think is ranked #106 and GPT-4.1 Mini is ranked #108 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 32B Think is cheaper at $0.50/M output tokens vs GPT-4.1 Mini's $1.60/M output tokens - 3.2x more expensive. Input token pricing: Olmo 3 32B Think at $0.15/M vs GPT-4.1 Mini at $0.40/M.
GPT-4.1 Mini has a larger context window of 1,047,576 tokens compared to Olmo 3 32B Think's 65,536 tokens. A larger context window means the model can process longer documents and conversations.