Gemini 2.5 Pro (batch)
by Google · google/gemini-2.5-pro:batch · #287 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:21 PM UTC · refreshed hourly
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.625
per 1M tokens
Output
$5.00
per 1M tokens
Blended (3:1)
$1.72
3 input : 1 output
Cache read
$0.125
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Gemini 2.5 Pro (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $1.72 | $0.0688 | — |
| 50% | $1.53 | $0.0437 | −36% |
| 90% | $1.38 | $0.0238 | −65% |
*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 | $0.001812 | $1.81 |
| Document summary | 8,000 | 1,000 | $0.01 | $10.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0287 | $28.75 |
| Long-context analysis | 150,000 | 5,000 | $0.1187 | $118.75 |
Performance
Intelligence Index
16.7
AA composite quality
Coding Index
33.3
Math Index
87.7
Agentic Index
3.5
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 | 86.2% |
| GPQA Diamond | 84.4% |
| Humanity's Last Exam | 22.5% |
| LiveCodeBench | 80.1% |
| SciCode | 46.3% |
| MATH-500 | 96.7% |
| AIME | 88.7% |
| AIME 2025 | 87.7% |
| IFBench | 48.7% |
| AA-LCR (Long Context Reasoning) | 69.0% |
| Terminal-Bench Hard | 26.5% |
| Terminal-Bench 2.1 | 28.5% |
| τ²-Bench (Telecom) | 54.1% |
| τ³-Bench Banking | 9.7% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,179 |
| UI components | 1,155 |
| Data viz | 1,236 |
| 3D | 1,109 |
| Game dev | 1,135 |
| Code categories | 1,167 |
Specs
Context window
1.05M
tokens
Max output
66K
tokens
Input modalities
text, image, file, audio, video
Tokenizer
Gemini