Compare · ModelsLive · 2 picked · head to head
GPT-5 Mini vs Qwen3 Next 80B A3B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 Mini wins on 7/8 benchmarks
GPT-5 Mini wins 7 of 8 shared benchmarks. Leads in coding · language · math.
Category leads
coding·GPT-5 Minireasoning·Qwen3 Next 80B A3B Instructlanguage·GPT-5 Minimath·GPT-5 Miniknowledge·GPT-5 Mini
Hype vs Reality
Attention vs performance
GPT-5 Mini
#63 by perf·no signal
Qwen3 Next 80B A3B Instruct
#73 by perf·no signal
Best value
Qwen3 Next 80B A3B Instruct
1.8x better value than GPT-5 Mini
GPT-5 Mini
49.8 pts/$
$1.13/M
Qwen3 Next 80B A3B Instruct
91.4 pts/$
$0.60/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
8 benchmarks · 2 models
GPT-5 MiniQwen3 Next 80B A3B Instruct
LiveBench · Agentic Coding
GPT-5 Mini leads by +25.0
GPT-5 Mini
35.0
Qwen3 Next 80B A3B Instruct
10.0
LiveBench · Coding
GPT-5 Mini leads by +7.9
GPT-5 Mini
76.1
Qwen3 Next 80B A3B Instruct
68.2
LiveBench · Data Analysis
Qwen3 Next 80B A3B Instruct leads by +0.2
GPT-5 Mini
49.6
Qwen3 Next 80B A3B Instruct
49.8
LiveBench · If
GPT-5 Mini leads by +45.0
GPT-5 Mini
64.2
Qwen3 Next 80B A3B Instruct
19.2
LiveBench · Language
GPT-5 Mini leads by +2.8
GPT-5 Mini
69.2
Qwen3 Next 80B A3B Instruct
66.3
LiveBench · Mathematics
GPT-5 Mini leads by +4.2
GPT-5 Mini
74.4
Qwen3 Next 80B A3B Instruct
70.2
LiveBench · Overall
GPT-5 Mini leads by +12.7
GPT-5 Mini
61.0
Qwen3 Next 80B A3B Instruct
48.4
LiveBench · Reasoning
GPT-5 Mini leads by +3.9
GPT-5 Mini
58.6
Qwen3 Next 80B A3B Instruct
54.8
Full benchmark table
| Benchmark | GPT-5 Mini | Qwen3 Next 80B A3B Instruct |
|---|---|---|
LiveBench · Agentic Coding | 35.0 | 10.0 |
LiveBench · Coding | 76.1 | 68.2 |
LiveBench · Data Analysis | 49.6 | 49.8 |
LiveBench · If | 64.2 | 19.2 |
LiveBench · Language | 69.2 | 66.3 |
LiveBench · Mathematics | 74.4 | 70.2 |
LiveBench · Overall | 61.0 | 48.4 |
LiveBench · Reasoning | 58.6 | 54.8 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.25 | $2.00 | 400K tokens (~200 books) | $6.88 | |
| $0.09 | $1.10 | 262K tokens (~131 books) | $3.43 |