💰 Unit Cost Winner Llama 4 Maverick $0.20/1M in · $0.60/1M out
⚡ Latency & Speed Winner Llama 4 Maverick 135ms TTFT · 175 tok/s
💻 Coding (SWE) Winner Llama 4 Maverick 62.4% SWE-bench · 92.6% HumanEval
🧠 STEM Reasoning Winner Llama 4 Maverick 73.8% GPQA · 91% MATH-500

Which model is better: Grok 3 Mini or Llama 4 Maverick?

Llama 4 Maverick is 33.3% cheaper for input tokens ($0.20 vs. $0.30 per 1M tokens) and $0.60 vs. $1.20 for output tokens (1.5x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (15ms faster than Grok 3 Mini) with 175 vs. 160 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 54.0% for Grok 3 Mini and 73.8% vs. 68.0% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

Verified Performance & Unit Economics Delta (12 Dimensions)

Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.

Metric / Dimension Grok 3 Mini Llama 4 Maverick Net Delta / Advantage
Input Cost / 1M Tokens $0.30 $0.20 Llama 4 Maverick is 1.5x cheaper
Output Cost / 1M Tokens $1.20 $0.60 Llama 4 Maverick (50.0% lower)
Prompt Cache Read / 1M $0.080 $0.050 Llama 4 Maverick is 1.6x cheaper
Prompt Cache Write / 1M $0.30 $0.20 Llama 4 Maverick is 1.5x cheaper
Context Window (Max Output) 131k (16k out) 1,049k (33k out) Llama 4 Maverick (8.0x larger context)
Avg TTFT Response Latency 150ms 135ms Llama 4 Maverick (15ms faster)
Generation Speed (Throughput) 160 tok/s 175 tok/s Llama 4 Maverick (+15 tok/s faster)
SWE-bench Verified (Coding) 54% 62.4% Llama 4 Maverick (+8.4% lead)
GPQA Diamond (PhD STEM) 68% 73.8% Llama 4 Maverick (+5.8% lead)
MMLU-Pro (Multi-Discipline) 80% 84.5% Llama 4 Maverick (+4.5% lead)
MATH-500 (Quantitative Logic) 87% 91% Llama 4 Maverick (+4.0% lead)
Inference Value Score (IVR) 69.2 / 100 77 / 100 Llama 4 Maverick (+7.8 pts)

Interactive Monthly Token Economics & ROI Forecaster

Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Grok 3 Mini $10.75

$0.30/1M in · $1.20/1M out

Prompt Cache: $0.080/1M read · $0.30/1M write

Llama 4 Maverick $6.13

$0.20/1M in · $0.60/1M out

Prompt Cache: $0.050/1M read · $0.20/1M write

Projected Monthly Cost Reduction
$4.63 / mo
(43.0% lower cost with Llama 4 Maverick)
Open Full Matchup Analysis →
A

When to Choose Grok 3 Mini

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

B

When to Choose Llama 4 Maverick

Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).

Related Questions & Decision Factors

Which is cheaper: Grok 3 Mini or Llama 4 Maverick?

Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $0.30/1M input ($1.20/1M output) for Grok 3 Mini.

Which model has lower TTFT latency and higher tok/s throughput: Grok 3 Mini or Llama 4 Maverick?

Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 150ms TTFT (160 tok/s) for Grok 3 Mini.

How do Grok 3 Mini and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Grok 3 Mini scores 54% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Grok 3 Mini scores 68% versus 73.8% for Llama 4 Maverick (and 87% vs 91% on MATH-500).

When should you choose Grok 3 Mini?

Choose Grok 3 Mini (xAI) for high-speed reasoning model providing rapid answers and code generation with chain-of-thought capabilities at edge pricing — offering a 131k context window, 150ms TTFT, and $0.30/1M input pricing ($0.080/1M cached reads).

When should you choose Llama 4 Maverick?

Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).

Explore High-Priority Related Model Matchups