| Signal | GPT-5.2 | Delta | Qwen3.5-122B-A10B |
|---|---|---|---|
Capabilities | 86 | +14 | |
Context window size | 89 | +3 | |
Output Capacity | 85 | +5 | |
Pricing Tier | 14 | +12 | |
Recency | 100 | -- | |
Versatility | 67 | -- | |
| Overall Result | 4 wins | of 6 | 0 wins |
30
days ranked higher
0
days
0
days ranked higher
OpenAI
Alibaba
Qwen3.5-122B-A10B saves you $725.00/month
That's $8700.00/year compared to GPT-5.2 at your current usage level of 100K calls/month.
| Metric | GPT-5.2 | Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Overall Score | 68 | 61 | GPT-5.2 |
| Rank | #13 | #51 | GPT-5.2 |
| Quality Rank | #13 | #51 | GPT-5.2 |
| Adoption Rank | #13 | #51 | GPT-5.2 |
| Parameters | -- | -- | -- |
| Context Window | 400K | 262K | GPT-5.2 |
| Pricing | $1.75/$14.00/M | $0.30/$2.40/M | -- |
| Signal Scores | |||
| Capabilities | 86 | 71 | GPT-5.2 |
| Context window size | 89 | 86 | GPT-5.2 |
| Output Capacity | 85 | 80 | GPT-5.2 |
| Pricing Tier | 14 | 2 | GPT-5.2 |
| Recency | 100 | 100 | GPT-5.2 |
| Versatility | 67 | 67 | GPT-5.2 |
GPT-5.2 has a moderate advantage with a 7.300000000000004-point lead in composite score. It wins on more signal dimensions, but Qwen3.5-122B-A10B has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-5.2
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-122B-A10B
83% lower pricing; better value at scale
Best for Reliability
GPT-5.2
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2
Stronger community support and better developer experience
Best for Production
GPT-5.2
Wider enterprise adoption and proven at scale
by OpenAI
GPT-5.2 currently scores higher (68 vs 61), but the best choice depends on your specific use case, budget, and requirements.
GPT-5.2 is ranked #13 and Qwen3.5-122B-A10B is ranked #51. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.