Meta (Groq) · Llama 4 · Mid
Llama 4 Maverick pricing and limits
Meta's Llama 4 Maverick, a mixture-of-experts model with image input, served on Groq. Cheaper than Llama 3.3 70B on Groq at list price.
| Line | Tokens | Rate / 1M | Cost |
|---|---|---|---|
| Input, uncached | 6,000 | $0.20 | $0.00120 |
| Output | 700 | $0.60 | $0.00042 |
- Input / 1M
- $0.20
- Output / 1M
- $0.60
- Cached / 1M
- n/a
- Cache write / 1M
- n/a
- Blended 3:1
- $0.30
- Context
- 128K
What drives Llama 4 Maverick cost
Maverick activates only a fraction of its parameters per token, which is why hosts can price it below dense 70B models. Output costs three times input, so long generated answers matter more here than on Llama 3.3.
No cache-read discount in the list price. Image inputs add tokens, so multimodal features should be metered separately from text with a feature header.
Cost of a typical call
Take a chat turn with 6,000 input tokens and 700 output tokens. At Llama 4 Maverick list prices ($0.20 input, $0.60 output per 1M) one call costs $0.00162, and 600,000 calls a month come to $972. The list price has no discounted cache-read rate, so every input token is billed at the full rate on every call.
Blended at a 3:1 input to output ratio, Llama 4 Maverick costs $0.30 per 1M tokens. Routing the same call to the fallback in the policy below, Llama 3.1 8B Instant, costs $0.00036, which is what a tenant pays you in COGS once they cross the hard cap and PALM SOUQ downgrades instead of blocking.
Cost comparison
Llama 4 Maverick against three alternatives
The same chat turn priced on Llama 3.3 70B, Gemini 2.5 Flash, DeepSeek V3.2 (chat). Move the sliders to match your traffic; models without a cache-read rate bill every input token in full.
Benchmark quality per task before switching. A cheaper model that needs more steps or longer outputs can cost more per finished task than its rate suggests, which is why PALM SOUQ reports cost per feature, not only per token.
Llama 4 Maverick this guide
$0.00162 per call
$810 / mo
baseline
Llama 3.3 70B
$0.00409 per call
$2,047 / mo
+153% vs Llama 4 Maverick
Gemini 2.5 Flash
$0.00355 per call
$1,775 / mo
+119% vs Llama 4 Maverick
DeepSeek V3.2 (chat)
$0.00197 per call
$987 / mo
+22% vs Llama 4 Maverick
List prices from the PALM SOUQ LLM Price Index, computed per call as uncached input + cache reads + output. Reasoning tokens count as output on reasoning models.
Rate limits by usage tier
Per-organization, per-model RPM, RPD, TPM and TPD on Groq by tier. Check daily token limits before scheduling large batch runs.
Exact limits vary by account tier and change over time, so we do not reprint them here. Check the limits page for your own account in the Meta (Groq) documentation at console.groq.com/docs. PALM SOUQ enforces your own per-tenant limits in front of the provider's, so a single customer cannot consume the shared allowance that every other tenant depends on.
Circuit-breaker best practices
Use token velocity and per-tenant daily token quotas, which map naturally onto Groq's own daily limits and keep one tenant from consuming the shared allowance.
Fall back to Llama 3.3 70B on another host when Groq returns 429, so the user sees a slower answer rather than an error.
When a breaker trips, the gateway answers in under 50 ms with HTTP 429 and X-PalmSouq-Reason: circuit_breaker_triggered, before the request reaches Meta (Groq). Your agent framework sees a normal rate-limit response and stops, and the audit log records which heuristic fired and for which tenant.
# palmsouq.policy.yaml
policy: llama-4-maverick-groq-pro
match:
model: llama-4-maverick-groq
tier: pro # from X-PalmSouq-Tier
budgets:
monthly_usd: 60 # per tenant
soft_cap_pct: 80 # webhook to your app
on_hard_cap: fallback # or: block (HTTP 429)
fallback:
- llama-3.1-8b-groq
breakers:
tool_thrashing: { identical_calls: 3, window_steps: 8 }
token_velocity: { max_tokens_per_s: 50000, window_s: 10 }
semantic_echo: { repeats: 3 }
max_steps: 15- budgetsPer-tenant monthly dollar cap with an 80% soft-cap webhook, keyed by X-PalmSouq-Tenant.
- fallbackAt the hard cap, requests reroute to Llama 3.1 8B Instant ($0.058 blended per 1M) instead of failing.
- breakersAll four loop heuristics on, evaluated in the request path with under 5 ms added latency.
Where it fits
Cost-sensitive chat and multimodal features where open weights and host choice matter.
Provider documentation: console.groq.com/docs
Llama 4 Maverick pricing questions
How much does Llama 4 Maverick cost per million tokens?
At list price Llama 4 Maverick costs $0.20 per 1M input tokens and $0.60 per 1M output tokens. Prices were last reviewed in the PALM SOUQ LLM Price Index and are for the standard tier and shortest context band.
Does Llama 4 Maverick support prompt caching?
The Meta (Groq) list price for Llama 4 Maverick has no discounted cache-read rate, so PALM SOUQ meters every input token at $0.20 per 1M. Shortening repeated context and caching full responses in your own application are the main savings levers.
What are the Llama 4 Maverick rate limits?
Per-organization, per-model RPM, RPD, TPM and TPD on Groq by tier. Check daily token limits before scheduling large batch runs. For your account's exact numbers, see the Meta (Groq) documentation at console.groq.com/docs.
How do I stop runaway Llama 4 Maverick agent loops?
Use token velocity and per-tenant daily token quotas, which map naturally onto Groq's own daily limits and keep one tenant from consuming the shared allowance. The sample policy on this page enables all four PALM SOUQ heuristics with a max step cap of 15 and falls back to Llama 3.1 8B Instant at the hard cap.
Is there a batch discount for Llama 4 Maverick?
Discounted asynchronous processing through the Groq Batch API. Batch traffic suits evaluations, backfills and nightly enrichment jobs that do not need a real-time answer.
Govern Llama 4 Maverick spend per customer.
Point your Meta (Groq) client at gateway.palmsouqltd.com, pass X-PalmSouq-Tenant, and every Llama 4 Maverick token is attributed, capped and protected by circuit breakers.
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