Which model is better: Llama 4 Maverick or Mistral Large 2 (2411)?
Llama 4 Maverick is 90.0% cheaper for input tokens ($0.20 vs. $2.00 per 1M tokens) and $0.60 vs. $6.00 for output tokens (10.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (245ms faster than Mistral Large 2 (2411)) with 175 vs. 75 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 73.8% vs. 54.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified
Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension
Llama 4 Maverick
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$0.20
$2.00
Llama 4 Maverick is 10.0x cheaper
Output Cost / 1M Tokens
$0.60
$6.00
Llama 4 Maverick (90.0% lower)
Prompt Cache Read / 1M
$0.050
$0.200
Llama 4 Maverick is 4.0x cheaper
Prompt Cache Write / 1M
$0.20
$2.00
Llama 4 Maverick is 10.0x cheaper
Context Window (Max Output)
1,049k (33k out)
131k (8k out)
Llama 4 Maverick (8.0x larger context)
Avg TTFT Response Latency
135ms
380ms
Llama 4 Maverick (245ms faster)
Generation Speed (Throughput)
175 tok/s
75 tok/s
Llama 4 Maverick (+100 tok/s faster)
SWE-bench Verified (Coding)
62.4%
45.2%
Llama 4 Maverick (+17.2% lead)
GPQA Diamond (PhD STEM)
73.8%
54.2%
Llama 4 Maverick (+19.6% lead)
MMLU-Pro (Multi-Discipline)
84.5%
74.8%
Llama 4 Maverick (+9.7% lead)
MATH-500 (Quantitative Logic)
91%
76.5%
Llama 4 Maverick (+14.5% lead)
Inference Value Score (IVR)
77 / 100
50.1 / 100
Llama 4 Maverick (+26.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
Which is cheaper: Llama 4 Maverick or Mistral Large 2 (2411)?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $2.00/1M input ($6.00/1M output) for Mistral Large 2 (2411).
Which model has lower TTFT latency and higher tok/s throughput: Llama 4 Maverick or Mistral Large 2 (2411)?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).
How do Llama 4 Maverick and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Llama 4 Maverick scores 62.4% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Llama 4 Maverick scores 73.8% versus 54.2% for Mistral Large 2 (2411) (and 91% vs 76.5% on MATH-500).
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).
When should you choose Mistral Large 2 (2411)?
Choose Mistral Large 2 (2411) (Mistral AI) for sovereign enterprise multilingual flagship tuned for reasoning, strict JSON schemas, and European regulatory compliance — offering a 131k context window, 380ms TTFT, and $2.00/1M input pricing ($0.200/1M cached reads).
