o4 Mini (batch)
by OpenAI · openai/o4-mini:batch · #231 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5Gemini 3.6 Flash
Pricing
Input
$0.55
per 1M tokens
Output
$2.20
per 1M tokens
Blended (3:1)
$0.963
3 input : 1 output
Cache read
$0.138
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for o4 Mini (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.963 | $0.0583 | — |
| 50% | $0.808 | $0.0377 | −35% |
| 90% | $0.684 | $0.0212 | −64% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.000935 | $0.935 |
| Document summary | 8,000 | 1,000 | $0.0066 | $6.60 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0209 | $20.90 |
| Long-context analysis | 150,000 | 5,000 | $0.0935 | $93.50 |
Performance
Intelligence Index
16.7
AA composite quality
Coding Index
—
Math Index
90.7
Agentic Index
—
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| MMLU-Pro | 83.2% |
| GPQA Diamond | 78.4% |
| Humanity's Last Exam | 16.5% |
| LiveCodeBench | 85.9% |
| MATH-500 | 98.9% |
| AIME | 94.0% |
| AIME 2025 | 90.7% |
| IFBench | 68.7% |
| AA-LCR (Long Context Reasoning) | 61.0% |
| Terminal-Bench Hard | 15.2% |
| τ²-Bench (Telecom) | 55.6% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 997 |
| UI components | 998 |
| Data viz | 1,005 |
| 3D | 882 |
| Game dev | 1,026 |
| Code categories | 991 |
Specs
Context window
200K
tokens
Max output
100K
tokens
Input modalities
image, text, file
Tokenizer
GPT