US-East 42ms p50 · EU-Central 38ms p50 · AP-South 71ms p50 · ETH Block #21.4M head · SOL Block #312.1M head · Groq 750 tok/s · Together 600 tok/s · Alchemy 25ms rpc · US-East 42ms p50 · EU-Central 38ms p50 · AP-South 71ms p50 · ETH Block #21.4M head · SOL Block #312.1M head · Groq 750 tok/s · Together 600 tok/s · Alchemy 25ms rpc ·
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AI Inference fireworks-llama4-maverick ✓ Verified June 4, 2026

Fireworks AI  Llama 4 Maverick

Fireworks AI Llama 4 Maverick: $0.22/1M input tokens, 820 tok/s throughput, 220ms latency. Compare on BenchNode.io.

$0.22
per 1M input tokens
$0.22 / 1M output
Free tier available

Specifications

model id
llama-4-maverick
model family
Llama 4
parameters
400B MoE
context window tokens
1,000,000
modality
text
reasoning
No

Performance

Latency (TTFT) 220 ms
lower is better
Uptime SLA 99.9%
Throughput 820 tok/s
220
ms latency
99.9%
uptime

Pricing Detail

input per 1m tokens usd
0.22
output per 1m tokens usd
0.22
free tier available
Yes
rate limit tpm
10,000
rate limit rpm
60
AI Analysis · gpt-4o-mini

Technical Verdict

The input and output costs are both $0.22 per 1M tokens, which is mid-tier for this model class, while the throughput of 820 tok/s is fast. The rate limits of 10,000 TPM and 60 RPM suggest suitability for low-volume prototyping, and the first-token latency of 220 ms favors batch use rather than real-time applications.

Ideal Use Case

This tier is suitable for a batch document processing pipeline with a small team handling <50k daily completions.

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