Compare · ModelsLive · 2 picked · head to head
GPT-5.3-Codex vs MiMo-V2-Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.3-Codex wins on 3/3 benchmarks
GPT-5.3-Codex wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·GPT-5.3-Codex
Hype vs Reality
Attention vs performance
GPT-5.3-Codex
#86 by perf·no signal
MiMo-V2-Flash
#11 by perf·#12 by attention
Best value
MiMo-V2-Flash
58.2x better value than GPT-5.3-Codex
GPT-5.3-Codex
6.6 pts/$
$7.88/M
MiMo-V2-Flash
385.8 pts/$
$0.19/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
xiaomi
private · undisclosed
Head to head
3 benchmarks · 2 models
GPT-5.3-CodexMiMo-V2-Flash
Artificial Analysis · Agentic Index
GPT-5.3-Codex leads by +13.4
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-Flash
48.8
Artificial Analysis · Coding Index
GPT-5.3-Codex leads by +19.6
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-Flash
33.5
Artificial Analysis · Quality Index
GPT-5.3-Codex leads by +12.5
GPT-5.3-Codex
54.0
MiMo-V2-Flash
41.5
Full benchmark table
| Benchmark | GPT-5.3-Codex | MiMo-V2-Flash |
|---|---|---|
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 | 48.8 |
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 | 33.5 |
Artificial Analysis · Quality Index | 54.0 | 41.5 |
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 | |
| $0.09 | $0.29 | 262K tokens (~131 books) | $1.40 |