Which model is better: GPT-4o or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 20.0% cheaper for input tokens ($2.00 vs. $2.50 per 1M tokens) and $6.00 vs. $10.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (100ms faster than Mistral Large 2 (2411)) with 100 vs. 75 tok/s throughput. GPT-4o leads coding evaluations at 48.0% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 53.6% 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-4o
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$2.50
$2.00
Mistral Large 2 (2411) is 1.3x cheaper
Output Cost / 1M Tokens
$10.00
$6.00
Mistral Large 2 (2411) (40.0% lower)
Prompt Cache Read / 1M
$1.250
$0.200
Mistral Large 2 (2411) is 6.3x cheaper
Prompt Cache Write / 1M
$2.50
$2.00
Mistral Large 2 (2411) is 1.3x cheaper
Context Window (Max Output)
131k (16k out)
131k (8k out)
Equal Context Window
Avg TTFT Response Latency
280ms
380ms
GPT-4o (100ms faster)
Generation Speed (Throughput)
100 tok/s
75 tok/s
GPT-4o (+25 tok/s faster)
SWE-bench Verified (Coding)
48%
45.2%
GPT-4o (+2.8% lead)
GPQA Diamond (PhD STEM)
53.6%
54.2%
Mistral Large 2 (2411) (+0.6% lead)
MMLU-Pro (Multi-Discipline)
75.9%
74.8%
GPT-4o (+1.1% lead)
MATH-500 (Quantitative Logic)
76.6%
76.5%
GPT-4o (+0.1% 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-4o or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M output) compared to $2.50/1M input ($10.00/1M output) for GPT-4o.
Which model has lower TTFT latency and higher tok/s throughput: GPT-4o or Mistral Large 2 (2411)?
GPT-4o delivers faster first-token latency at 280ms TTFT (100 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).
How do GPT-4o and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-4o scores 48% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, GPT-4o scores 53.6% versus 54.2% for Mistral Large 2 (2411) (and 76.6% vs 76.5% on MATH-500).
When should you choose GPT-4o?
Choose GPT-4o (OpenAI) for general enterprise assistants, multimodal customer support, and structured JSON output pipelines — offering a 131k context window, 280ms TTFT, and $2.50/1M input pricing ($1.250/1M 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).
