Meta
Llama 4 Maverick
Released Apr 5, 2025 · 121B tokens this week · 5 providers
Overview
Meta's mixture-of-experts flagship, with native image understanding and a very large context window. Competitive on general chat and coding while staying inexpensive on open-weight hosts. A practical frontier substitute when you need weights you can move between providers.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepInfraCheapest | 1.05M | 16K | $0.22 | $0.85 | 480ms | 120 | 98.80% | fp8 |
Novita AI | 524K | 16K | $0.23 | $0.90 | 540ms | 98 | 98.60% | fp8 |
Together AI | 1.05M | 16K | $0.25 | $0.95 | 195ms | 150 | 99.50% | Full |
Fireworks AI | 1.05M | 16K | $0.25 | $0.98 | 400ms | 175 | 99.60% | Full |
Amazon Bedrock | 131K | 16K | $0.26 | $1.02 | 620ms | 105 | 99.82% | Full |
Latency p50 reflects a provider’s API endpoint responsiveness — the round-trip to its API, not per-token inference time. These figures, with throughput and uptime, are reference data until the gateway aggregates its own traffic.
Price comparison
Blended $ per 1M tokens
Blended rate per 1M tokens, weighted one part prompt to three parts completion — roughly the shape of a chat workload. Your mix will move the number.
Call it
OpenAI-compatible — swap the base URL and go
curl https://model.cards/api/v1/chat/completions \
-H "Authorization: Bearer $MODELCARDS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meta-llama/llama-4-maverick",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'