| Signal | o3 Mini High | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 62 | -5 | |
Pricing | 4 | +4 | |
Context window size | 84 | -11 | |
Recency | 59 | -41 | |
Output Capacity | 83 | +3 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
OpenAI
Alibaba
Qwen3.5-Flash saves you $310.50/month
That's $3726.00/year compared to o3 Mini High at your current usage level of 100K calls/month.
| Metric | o3 Mini High | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 65 | 79 | Qwen3.5-Flash |
| Rank | #184 | #80 | Qwen3.5-Flash |
| Quality Rank | #184 | #80 | Qwen3.5-Flash |
| Adoption Rank | #184 | #80 | Qwen3.5-Flash |
| Parameters | -- | -- | -- |
| Context Window | 200K | 1000K | Qwen3.5-Flash |
| Pricing | $1.10/$4.40/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Benchmarks | 62 | 67 | Qwen3.5-Flash |
| Pricing | 4 | 0 | o3 Mini High |
| Context window size | 84 | 95 | Qwen3.5-Flash |
| Recency | 59 | 100 | Qwen3.5-Flash |
| Output Capacity | 83 | 80 | o3 Mini High |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 65/100 (rank #184), placing it in the top 37% of all 290 models tracked.
Scores 79/100 (rank #80), placing it in the top 73% of all 290 models tracked.
Qwen3.5-Flash has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-Flash offers 94% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $82.50/month with o3 Mini High - a $77.63 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. Qwen3.5-Flash also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.26/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) 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
Qwen3.5-Flash clearly outperforms o3 Mini High with a significant 14-point lead. For most general use cases, Qwen3.5-Flash is the stronger choice. However, o3 Mini High may still excel in niche scenarios.
Best for Quality
o3 Mini High
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
94% lower pricing; better value at scale
Best for Reliability
o3 Mini High
Higher uptime and faster response speeds
Best for Prototyping
o3 Mini High
Stronger community support and better developer experience
Best for Production
o3 Mini High
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | o3 Mini High | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-Flash saves you $6.83/month
That's 94% cheaper than o3 Mini High 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 | o3 Mini High | Qwen3.5-Flash |
|---|---|---|
| Context Window | 200K | 1M |
| Max Output Tokens | 100,000 | 65,536 |
| Open Source | No | No |
| Created | Feb 12, 2025 | Feb 25, 2026 |
Qwen3.5-Flash scores 79/100 (rank #80) compared to o3 Mini High's 65/100 (rank #184), giving it a 14-point advantage. Qwen3.5-Flash is the stronger overall choice, though o3 Mini High may excel in specific areas like certain benchmarks.
o3 Mini High is ranked #184 and Qwen3.5-Flash is ranked #80 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Qwen3.5-Flash is cheaper at $0.26/M output tokens vs o3 Mini High's $4.40/M output tokens - 16.9x more expensive. Input token pricing: o3 Mini High at $1.10/M vs Qwen3.5-Flash at $0.07/M.
Qwen3.5-Flash has a larger context window of 1,000,000 tokens compared to o3 Mini High's 200,000 tokens. A larger context window means the model can process longer documents and conversations.