| Signal | GPT-4o-mini | Delta | Qwen3.5-Flash |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 76 | +10 | |
Pricing | 99 | 0 | |
Context window size | 73 | -13 | |
Recency | 4 | -96 | |
Output Capacity | 70 | -10 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
68.9
current score
GPT-4o-mini
right now
68.1
current score
OpenAI
Alibaba
Qwen3.5-Flash saves you $25.50/month
That's $306.00/year compared to GPT-4o-mini at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini | Qwen3.5-Flash | Winner |
|---|---|---|---|
| Overall Score | 69 | 68 | GPT-4o-mini |
| Rank | #103 | #105 | GPT-4o-mini |
| Quality Rank | #103 | #105 | GPT-4o-mini |
| Adoption Rank | #103 | #105 | GPT-4o-mini |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Qwen3.5-Flash |
| Pricing | $0.15/$0.60/M | $0.07/$0.26/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | Qwen3.5-Flash |
| Benchmarks | 76 | 66 | GPT-4o-mini |
| Pricing | 99 | 100 | Qwen3.5-Flash |
| Context window size | 73 | 86 | Qwen3.5-Flash |
| Recency | 4 | 100 | Qwen3.5-Flash |
| Output Capacity | 70 | 80 | Qwen3.5-Flash |
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 69/100 (rank #103), placing it in the top 65% of all 290 models tracked.
Scores 68/100 (rank #105), placing it in the top 64% 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.
Qwen3.5-Flash offers 57% better value per quality point. At 1M tokens/day, you'd spend $4.88/month with Qwen3.5-Flash vs $11.25/month with GPT-4o-mini - a $6.38 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. 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 (69/100) 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
GPT-4o-mini and Qwen3.5-Flash are extremely close in overall performance (only 0.8000000000000114 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-Flash
57% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini
Stronger community support and better developer experience
Best for Production
GPT-4o-mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini | Qwen3.5-Flash |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-Flash saves you $0.5610/month
That's 57% cheaper than GPT-4o-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 | GPT-4o-mini | Qwen3.5-Flash |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 16,384 | 65,536 |
| Open Source | No | No |
| Created | Jul 18, 2024 | Feb 25, 2026 |