Compare · ModelsLive · 2 picked · head to head
GPT-5.3-Codex vs MiMo-V2-Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
MiMo-V2-Pro wins on 2/3 benchmarks
MiMo-V2-Pro wins 2 of 3 shared benchmarks. Leads in speed.
Category leads
speed·MiMo-V2-Pro
Hype vs Reality
Attention vs performance
GPT-5.3-Codex
#73 by perf·#4 by attention
MiMo-V2-Pro
#55 by perf·no signal
Best value
MiMo-V2-Pro
4.1x better value than GPT-5.3-Codex
GPT-5.3-Codex
7.1 pts/$
$7.88/M
MiMo-V2-Pro
29.1 pts/$
$2.00/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Xiaomi (MiMo)
$111.0B·Tier 1
Head to head
3 benchmarks · 2 models
GPT-5.3-CodexMiMo-V2-Pro
Artificial Analysis · Agentic Index
MiMo-V2-Pro leads by +0.6
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?"
GPT-5.3-Codex
62.2
MiMo-V2-Pro
62.8
Artificial Analysis · Coding Index
GPT-5.3-Codex leads by +11.7
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.
GPT-5.3-Codex
53.1
MiMo-V2-Pro
41.4
Artificial Analysis · Quality Index
MiMo-V2-Pro leads by +16.7
GPT-5.3-Codex
32.5
MiMo-V2-Pro
49.2
Full benchmark table
| Benchmark | GPT-5.3-Codex | MiMo-V2-Pro |
|---|---|---|
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?" | 62.2 | 62.8 |
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. | 53.1 | 41.4 |
Artificial Analysis · Quality Index | 32.5 | 49.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.75 | $14.00 | 400K tokens (~200 books) | $48.13 | |
| $1.00 | $3.00 | 1.0M tokens (~524 books) | $15.00 |