Compare · ModelsLive · 2 picked · head to head
Gemini 3.8 Flash vs GPT-5.3-Codex
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.8 Flash wins on 6/7 benchmarks
Gemini 3.8 Flash wins 6 of 7 shared benchmarks. Leads in speed · agentic.
Category leads
speed·Gemini 3.8 Flashagentic·Gemini 3.8 Flash
Hype vs Reality
Attention vs performance
Gemini 3.8 Flash
#63 by perf·#5 by attention
GPT-5.3-Codex
#73 by perf·#4 by attention
Best value
Gemini 3.8 Flash
3.6x better value than GPT-5.3-Codex
Gemini 3.8 Flash
25.5 pts/$
$2.25/M
GPT-5.3-Codex
7.1 pts/$
$7.88/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
7 benchmarks · 2 models
Gemini 3.8 FlashGPT-5.3-Codex
Artificial Analysis · CritPt
Gemini 3.8 Flash leads by +1.4
Gemini 3.8 Flash
18.3
GPT-5.3-Codex
16.9
Artificial Analysis · GPQA Diamond
Gemini 3.8 Flash leads by +3.8
Gemini 3.8 Flash
95.3
GPT-5.3-Codex
91.5
Artificial Analysis · Humanity's Last Exam
Gemini 3.8 Flash leads by +5.3
Gemini 3.8 Flash
47.8
GPT-5.3-Codex
42.5
Artificial Analysis · Long Context Reasoning
GPT-5.3-Codex leads by +2.0
Gemini 3.8 Flash
81.3
GPT-5.3-Codex
83.3
Artificial Analysis · MMMU Pro
Gemini 3.8 Flash leads by +7.1
Gemini 3.8 Flash
85.6
GPT-5.3-Codex
78.5
Artificial Analysis · Quality Index
Gemini 3.8 Flash leads by +8.4
Gemini 3.8 Flash
40.9
GPT-5.3-Codex
32.5
APEX-Agents
Gemini 3.8 Flash leads by +32.6
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3.8 Flash
64.3
GPT-5.3-Codex
31.7
Full benchmark table
| Benchmark | Gemini 3.8 Flash | GPT-5.3-Codex |
|---|---|---|
Artificial Analysis · CritPt | 18.3 | 16.9 |
Artificial Analysis · GPQA Diamond | 95.3 | 91.5 |
Artificial Analysis · Humanity's Last Exam | 47.8 | 42.5 |
Artificial Analysis · Long Context Reasoning | 81.3 | 83.3 |
Artificial Analysis · MMMU Pro | 85.6 | 78.5 |
Artificial Analysis · Quality Index | 40.9 | 32.5 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 64.3 | 31.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.75 | $3.75 | 1.0M tokens (~524 books) | $15.00 | |
| $1.75 | $14.00 | 400K tokens (~200 books) | $48.13 |