| Signal | GPT-4o-mini Search Preview | Delta | QwQ 32B |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 72 | +14 | |
Pricing | 99 | -- | |
Context window size | 81 | 0 | |
Recency | 62 | +1 | |
Output Capacity | 70 | -15 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
59.7
current score
GPT-4o-mini Search Preview
right now
58.9
current score
OpenAI
Alibaba
QwQ 32B saves you $1.00/month
That's $12.00/year compared to GPT-4o-mini Search Preview at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini Search Preview | QwQ 32B | Winner |
|---|---|---|---|
| Overall Score | 60 | 59 | GPT-4o-mini Search Preview |
| Rank | #99 | #100 | GPT-4o-mini Search Preview |
| Quality Rank | #99 | #100 | GPT-4o-mini Search Preview |
| Adoption Rank | #99 | #100 | GPT-4o-mini Search Preview |
| Parameters | -- | 32B | -- |
| Context Window | 128K | 131K | QwQ 32B |
| Pricing | $0.15/$0.60/M | $0.15/$0.58/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-4o-mini Search Preview |
| Benchmarks | 72 | 58 | GPT-4o-mini Search Preview |
| Pricing | 99 | 99 | GPT-4o-mini Search Preview |
| Context window size | 81 | 81 | QwQ 32B |
| Recency | 62 | 61 | GPT-4o-mini Search Preview |
| Output Capacity | 70 | 85 | QwQ 32B |
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 60/100 (rank #99), placing it in the top 66% of all 290 models tracked.
Scores 59/100 (rank #100), placing it in the top 66% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. QwQ 32B 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 ($0.58/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
GPT-4o-mini Search Preview and QwQ 32B are extremely close in overall performance (only 0.8000000000000043 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini Search Preview
Marginally better benchmark scores; both are excellent
Best for Cost
QwQ 32B
3% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini Search Preview
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini Search Preview
Stronger community support and better developer experience
Best for Production
GPT-4o-mini Search Preview
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini Search Preview | QwQ 32B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Alibaba
QwQ 32B saves you $0.0240/month
That's 2% cheaper than GPT-4o-mini Search Preview 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 | GPT-4o-mini Search Preview | QwQ 32B |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | 131,072 |
| Open Source | No | Yes |
| Created | Mar 12, 2025 | Mar 5, 2025 |
GPT-4o-mini Search Preview scores 60/100 (rank #99) compared to QwQ 32B's 59/100 (rank #100), giving it a 1-point advantage. GPT-4o-mini Search Preview is the stronger overall choice, though QwQ 32B may excel in specific areas like cost efficiency.
GPT-4o-mini Search Preview is ranked #99 and QwQ 32B 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.
QwQ 32B is cheaper at $0.58/M output tokens vs GPT-4o-mini Search Preview's $0.60/M output tokens - 1.0x more expensive. Input token pricing: GPT-4o-mini Search Preview at $0.15/M vs QwQ 32B at $0.15/M.
QwQ 32B has a larger context window of 131,072 tokens compared to GPT-4o-mini Search Preview's 128,000 tokens. A larger context window means the model can process longer documents and conversations.