Compare · ModelsLive · 2 picked · head to head
o3 vs Qwen3 Next 80B A3B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
o3 wins on 3/3 benchmarks
o3 wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·o3
Hype vs Reality
Attention vs performance
o3
#91 by perf·no signal
Qwen3 Next 80B A3B Instruct
#89 by perf·no signal
Best value
Qwen3 Next 80B A3B Instruct
8.5x better value than o3
o3
10.8 pts/$
$5.00/M
Qwen3 Next 80B A3B Instruct
91.4 pts/$
$0.60/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
3 benchmarks · 2 models
o3Qwen3 Next 80B A3B Instruct
Artificial Analysis · Agentic Index
o3 leads by +21.9
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
o3
36.1
Qwen3 Next 80B A3B Instruct
14.2
Artificial Analysis · Coding Index
o3 leads by +23.1
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
o3
38.4
Qwen3 Next 80B A3B Instruct
15.3
Artificial Analysis · Quality Index
o3 leads by +16.7
o3
30.4
Qwen3 Next 80B A3B Instruct
13.7
Full benchmark table
| Benchmark | o3 | Qwen3 Next 80B A3B Instruct |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 36.1 | 14.2 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 38.4 | 15.3 |
Artificial Analysis · Quality Index | 30.4 | 13.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $8.00 | 200K tokens (~100 books) | $35.00 | |
| $0.09 | $1.10 | 262K tokens (~131 books) | $3.43 |