| Signal | Olmo 3 32B Think | Delta | Qwen3 235B A22B |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 54 | -1 | |
Pricing | 100 | +1 | |
Context window size | 69 | -4 | |
Recency | 94 | +38 | |
Output Capacity | 80 | +15 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
54.5
current score
Olmo 3 32B Think
right now
53.5
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 | #151 | #153 | Olmo 3 32B Think |
| Quality Rank | #151 | #153 | Olmo 3 32B Think |
| Adoption Rank | #151 | #153 | 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 | 69 | 73 | Qwen3 235B A22B |
| Recency | 94 | 56 | 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 #151), placing it in the top 48% of all 290 models tracked.
Scores 54/100 (rank #153), placing it in the top 48% 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 1 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 |