| Signal | Olmo 3 32B Think | Delta | Qwen3 235B A22B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 54 | -1 | |
Pricing | 100 | +1 | |
Context window size | 76 | -5 | |
Recency | 100 | +36 | |
Output Capacity | 80 | +15 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
54.9
current score
Olmo 3 32B Think
right now
54
current score
Allen AI
Alibaba
Olmo 3 32B Think saves you $96.50/month
That's $1158.00/year compared to Qwen3 235B A22B at your current usage level of 100K calls/month.
| Metric | Olmo 3 32B Think | Qwen3 235B A22B | Winner |
|---|---|---|---|
| Overall Score | 55 | 54 | Olmo 3 32B Think |
| Rank | #161 | #163 | Olmo 3 32B Think |
| Quality Rank | #161 | #163 | Olmo 3 32B Think |
| Adoption Rank | #161 | #163 | Olmo 3 32B Think |
| Parameters | 32B | 235B | -- |
| Context Window | 66K | 131K | Qwen3 235B A22B |
| Pricing | $0.15/$0.50/M | $0.45/$1.82/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 235B A22B |
| Benchmarks | 54 | 55 | Qwen3 235B A22B |
| Pricing | 100 | 98 | Olmo 3 32B Think |
| Context window size | 76 | 81 | Qwen3 235B A22B |
| Recency | 100 | 64 | Olmo 3 32B Think |
| Output Capacity | 80 | 65 | 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 #161), placing it in the top 45% of all 290 models tracked.
Scores 54/100 (rank #163), placing it in the top 44% 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 71% better value per quality point. At 1M tokens/day, you'd spend $9.75/month with Olmo 3 32B Think vs $34.13/month with Qwen3 235B A22B - a $24.38 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. Olmo 3 32B Think 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 ($0.50/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
Olmo 3 32B Think and Qwen3 235B A22B are extremely close in overall performance (only 0.8999999999999986 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
71% 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 | Qwen3 235B A22B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Allen AI
Alibaba
Olmo 3 32B Think saves you $2.13/month
That's 71% cheaper than Qwen3 235B A22B 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 | Qwen3 235B A22B |
|---|---|---|
| Context Window | 66K | 131K |
| Max Output Tokens | 65,536 | 8,192 |
| Open Source | Yes | Yes |
| Created | Nov 21, 2025 | Apr 28, 2025 |