Llama 4 Maverick
by Meta · meta-llama/llama-4-maverick · #90 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.20
per 1M tokens
Output
$0.80
per 1M tokens
Blended (3:1)
$0.35
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Llama 4 Maverick (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.35 | $0.0212 | — |
| 50% | $0.35 | $0.0212 | −0% |
| 90% | $0.35 | $0.0212 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). 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 | $0.00034 | $0.34 |
| Document summary | 8,000 | 1,000 | $0.0024 | $2.40 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0076 | $7.60 |
| Long-context analysis | 150,000 | 5,000 | $0.034 | $34.00 |
Performance
Intelligence Index
14.3
AA composite quality
Coding Index
16.3
Math Index
19.3
Agentic Index
1.3
Output speed
110 tok/s
median
Time to first token
0.59s
median
Time to first answer
0.59s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| MMLU-Pro | 80.9% |
| GPQA Diamond | 67.1% |
| Humanity's Last Exam | 4.8% |
| LiveCodeBench | 39.7% |
| SciCode | 33.1% |
| MATH-500 | 88.9% |
| AIME | 39.0% |
| AIME 2025 | 19.3% |
| IFBench | 43.0% |
| AA-LCR (Long Context Reasoning) | 46.0% |
| Terminal-Bench Hard | 6.8% |
| Terminal-Bench 2.1 | 7.9% |
| τ²-Bench (Telecom) | 17.8% |
| τ³-Bench Banking | 3.9% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 898 |
| UI components | 942 |
| Data viz | 919 |
| 3D | 958 |
| Game dev | 896 |
| Code categories | 913 |
Specs
Context window
1.05M
tokens
Max output
16K
tokens
Input modalities
text, image
Tokenizer
Llama4