| Signal | GPT-5.2-Codex | Delta | GPT Audio Mini |
|---|---|---|---|
Capabilities | 100 | +50 | |
Pricing | 14 | +12 | |
Context window size | 89 | +8 | |
Recency | 100 | -- | |
Output Capacity | 85 | +15 | |
| Overall Result | 4 wins | of 5 | 0 wins |
10
days higher
3
days
17
days higher
OpenAI
OpenAI
GPT Audio Mini saves you $695.00/month
That's $8340.00/year compared to GPT-5.2-Codex at your current usage level of 100K calls/month.
| Metric | GPT-5.2-Codex | GPT Audio Mini | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #155 | #154 | GPT Audio Mini |
| Quality Rank | #155 | #154 | GPT Audio Mini |
| Adoption Rank | #155 | #154 | GPT Audio Mini |
| Parameters | -- | -- | -- |
| Context Window | 400K | 128K | GPT-5.2-Codex |
| Pricing | $1.75/$14.00/M | $0.60/$2.40/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | GPT-5.2-Codex |
| Pricing | 14 | 2 | GPT-5.2-Codex |
| Context window size | 89 | 81 | GPT-5.2-Codex |
| Recency | 100 | 100 | GPT-5.2-Codex |
| Output Capacity | 85 | 70 | GPT-5.2-Codex |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Here's what the scores mean for these two models:
Scores 40/100 (rank #155), placing it in the top 47% of all 290 models tracked.
Scores 40/100 (rank #154), placing it in the top 47% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
GPT Audio Mini offers 81% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT Audio Mini vs $236.25/month with GPT-5.2-Codex - a $191.25 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GPT Audio Mini also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.2-Codex and GPT Audio Mini are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-5.2-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
GPT Audio Mini
81% lower pricing; better value at scale
Best for Reliability
GPT-5.2-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.2-Codex
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.2-Codex | GPT Audio Mini |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
OpenAI
GPT Audio Mini saves you $15.99/month
That's 80% cheaper than GPT-5.2-Codex at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.2-Codex | GPT Audio Mini |
|---|---|---|
| Context Window | 400K | 128K |
| Max Output Tokens | 128,000 | 16,384 |
| Open Source | No | No |
| Created | Jan 14, 2026 | Jan 19, 2026 |
Both GPT-5.2-Codex and GPT Audio Mini score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-5.2-Codex is ranked #155 and GPT Audio Mini is ranked #154 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT Audio Mini is cheaper at $2.40/M output tokens vs GPT-5.2-Codex's $14.00/M output tokens - 5.8x more expensive. Input token pricing: GPT-5.2-Codex at $1.75/M vs GPT Audio Mini at $0.60/M.
GPT-5.2-Codex has a larger context window of 400,000 tokens compared to GPT Audio Mini's 128,000 tokens. A larger context window means the model can process longer documents and conversations.