Gemma 3 27B
by Google · google/gemma-3-27b-it · #79 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.08
per 1M tokens
Output
$0.45
per 1M tokens
Blended (3:1)
$0.172
3 input : 1 output
Cache read
$0.04
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Gemma 3 27B with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.172 | $0.00861 | — |
| 50% | $0.157 | $0.00661 | −23% |
| 90% | $0.145 | $0.00501 | −42% |
*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 | $0.000175 | $0.175 |
| Document summary | 8,000 | 1,000 | $0.00109 | $1.09 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0033 | $3.30 |
| Long-context analysis | 150,000 | 5,000 | $0.0143 | $14.25 |
Performance
Intelligence Index
4.9
AA composite quality
Coding Index
10.1
Math Index
20.7
Agentic Index
0.1
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 | 66.9% |
| GPQA Diamond | 42.8% |
| Humanity's Last Exam | 4.4% |
| LiveCodeBench | 13.7% |
| SciCode | 23.3% |
| MATH-500 | 88.3% |
| AIME | 25.3% |
| AIME 2025 | 20.7% |
| IFBench | 31.8% |
| AA-LCR (Long Context Reasoning) | 7.3% |
| Terminal-Bench Hard | 3.8% |
| Terminal-Bench 2.1 | 4.5% |
| τ²-Bench (Telecom) | 10.5% |
| τ³-Bench Banking | 0.8% |
Specs
Context window
131K
tokens
Max output
118K
tokens
Input modalities
text, image
Tokenizer
Gemini