Which model is better: GPT-6 Astra or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 80.0% cheaper for input tokens ($2.00 vs. $10.00 per 1M tokens) and $6.00 vs. $50.00 for output tokens (5.0x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (360ms faster than GPT-6 Astra) with 75 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 96.0% 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
GPT-6 Astra
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$10.00
$2.00
Mistral Large 2 (2411) is 5.0x cheaper
Output Cost / 1M Tokens
$50.00
$6.00
Mistral Large 2 (2411) (88.0% lower)
Prompt Cache Read / 1M
$1.000
$0.200
Mistral Large 2 (2411) is 5.0x cheaper
Prompt Cache Write / 1M
$12.50
$2.00
Mistral Large 2 (2411) is 6.3x cheaper
Context Window (Max Output)
1,075k (128k out)
131k (8k out)
GPT-6 Astra (8.2x larger context)
Avg TTFT Response Latency
740ms
380ms
Mistral Large 2 (2411) (360ms faster)
Generation Speed (Throughput)
74 tok/s
75 tok/s
Mistral Large 2 (2411) (+1 tok/s faster)
SWE-bench Verified (Coding)
75.7%
45.2%
GPT-6 Astra (+30.5% lead)
GPQA Diamond (PhD STEM)
96%
54.2%
GPT-6 Astra (+41.8% lead)
MMLU-Pro (Multi-Discipline)
91.2%
74.8%
GPT-6 Astra (+16.4% lead)
MATH-500 (Quantitative Logic)
98%
76.5%
GPT-6 Astra (+21.5% lead)
Inference Value Score (IVR)
47.6 / 100
50.1 / 100
Mistral Large 2 (2411) (+2.5 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: GPT-6 Astra or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M 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 Mistral Large 2 (2411)?
Mistral Large 2 (2411) delivers faster first-token latency at 380ms TTFT (75 tok/s throughput) compared to 740ms TTFT (74 tok/s) for GPT-6 Astra.
How do GPT-6 Astra and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-6 Astra scores 75.7% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, GPT-6 Astra scores 96% versus 54.2% for Mistral Large 2 (2411) (and 98% vs 76.5% 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 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).
