Which model is better: GPT-6 Astra or Llama 4 Maverick?
Llama 4 Maverick is 98.0% cheaper for input tokens ($0.20 vs. $10.00 per 1M tokens) and $0.60 vs. $50.00 for output tokens (50.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (605ms faster than GPT-6 Astra) with 175 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 96.0% vs. 73.8% 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
GPT-6 Astra
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$0.20
Llama 4 Maverick is 50.0x cheaper
Output Cost / 1M Tokens
$50.00
$0.60
Llama 4 Maverick (98.8% lower)
Prompt Cache Read / 1M
$1.000
$0.050
Llama 4 Maverick is 20.0x cheaper
Prompt Cache Write / 1M
$12.50
$0.20
Llama 4 Maverick is 62.5x cheaper
Context Window (Max Output)
1,075k (128k out)
1,049k (33k out)
GPT-6 Astra (1.0x larger context)
Avg TTFT Response Latency
740ms
135ms
Llama 4 Maverick (605ms faster)
Generation Speed (Throughput)
74 tok/s
175 tok/s
Llama 4 Maverick (+101 tok/s faster)
SWE-bench Verified (Coding)
75.7%
62.4%
GPT-6 Astra (+13.3% lead)
GPQA Diamond (PhD STEM)
96%
73.8%
GPT-6 Astra (+22.2% lead)
MMLU-Pro (Multi-Discipline)
91.2%
84.5%
GPT-6 Astra (+6.7% lead)
MATH-500 (Quantitative Logic)
98%
91%
GPT-6 Astra (+7.0% lead)
Inference Value Score (IVR)
47.6 / 100
77 / 100
Llama 4 Maverick (+29.4 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: GPT-6 Astra or Llama 4 Maverick?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M output) compared to $10.00/1M input ($50.00/1M output) for GPT-6 Astra.
Which model has lower TTFT latency and higher tok/s throughput: GPT-6 Astra or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-6 Astra and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 73.8% for Llama 4 Maverick (and 98% vs 91% on MATH-500).
When should you choose GPT-6 Astra?
Choose GPT-6 Astra (OpenAI) for high-autonomy flagship reasoning model engineered for end-to-end computer and browser use, advanced scientific research, and complex multi-turn software engineering — offering a 1,075k context window, 740ms TTFT, and $10.00/1M input pricing ($1.000/1M 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).
