Which model is better: Mistral Large 2 (2411) or OpenAI o3?
Mistral Large 2 (2411) and OpenAI o3 share identical input pricing at $2.00 per 1M tokens ($6.00 vs. $8.00 output). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (770ms faster than OpenAI o3) with 75 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 87.7% 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
Mistral Large 2 (2411)
OpenAI o3
Net Delta / Advantage
Input Cost / 1M Tokens
$2.00
$2.00
Identical Pricing
Output Cost / 1M Tokens
$6.00
$8.00
Mistral Large 2 (2411) (25.0% lower)
Prompt Cache Read / 1M
$0.200
$0.500
Mistral Large 2 (2411) is 2.5x cheaper
Prompt Cache Write / 1M
$2.00
$2.00
Identical Cache Write Pricing
Context Window (Max Output)
131k (8k out)
205k (100k out)
OpenAI o3 (1.6x larger context)
Avg TTFT Response Latency
380ms
1150ms
Mistral Large 2 (2411) (770ms faster)
Generation Speed (Throughput)
75 tok/s
82 tok/s
OpenAI o3 (+7 tok/s faster)
SWE-bench Verified (Coding)
45.2%
71.7%
OpenAI o3 (+26.5% lead)
GPQA Diamond (PhD STEM)
54.2%
87.7%
OpenAI o3 (+33.5% lead)
MMLU-Pro (Multi-Discipline)
74.8%
89.8%
OpenAI o3 (+15.0% lead)
MATH-500 (Quantitative Logic)
76.5%
98.6%
OpenAI o3 (+22.1% lead)
Inference Value Score (IVR)
50.1 / 100
60.6 / 100
OpenAI o3 (+10.5 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: Mistral Large 2 (2411) or OpenAI o3?
Both Mistral Large 2 (2411) and OpenAI o3 share identical input pricing at $2.00/1M tokens.
Which model has lower TTFT latency and higher tok/s throughput: Mistral Large 2 (2411) or OpenAI o3?
Mistral Large 2 (2411) delivers faster first-token latency at 380ms TTFT (75 tok/s throughput) compared to 1150ms TTFT (82 tok/s) for OpenAI o3.
How do Mistral Large 2 (2411) and OpenAI o3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Mistral Large 2 (2411) scores 45.2% versus 71.7% for OpenAI o3. On GPQA Diamond graduate-level STEM reasoning, Mistral Large 2 (2411) scores 54.2% versus 87.7% for OpenAI o3 (and 76.5% vs 98.6% on MATH-500).
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).
When should you choose OpenAI o3?
Choose OpenAI o3 (OpenAI) for algorithmic synthesis, mathematical verification, PhD-level scientific research, and multi-step tool planning — offering a 204k context window, 1150ms TTFT, and $2.00/1M input pricing ($0.500/1M cached reads).
