Which model is better: GPT-5 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-5 delivers lower response latency at 340ms TTFT (40ms faster than Mistral Large 2 (2411)) with 105 vs. 75 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 85.4% 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-5
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
$0.625
$0.200
Mistral Large 2 (2411) is 3.1x cheaper
Prompt Cache Write / 1M
$2.50
$2.00
Mistral Large 2 (2411) is 1.3x cheaper
Context Window (Max Output)
410k (128k out)
131k (8k out)
GPT-5 (3.1x larger context)
Avg TTFT Response Latency
340ms
380ms
GPT-5 (40ms faster)
Generation Speed (Throughput)
105 tok/s
75 tok/s
GPT-5 (+30 tok/s faster)
SWE-bench Verified (Coding)
74.9%
45.2%
GPT-5 (+29.7% lead)
GPQA Diamond (PhD STEM)
85.4%
54.2%
GPT-5 (+31.2% lead)
MMLU-Pro (Multi-Discipline)
90.8%
74.8%
GPT-5 (+16.0% lead)
MATH-500 (Quantitative Logic)
98%
76.5%
GPT-5 (+21.5% lead)
Inference Value Score (IVR)
59.2 / 100
50.1 / 100
GPT-5 (+9.1 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-5 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-5.
Which model has lower TTFT latency and higher tok/s throughput: GPT-5 or Mistral Large 2 (2411)?
GPT-5 delivers faster first-token latency at 340ms TTFT (105 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).
How do GPT-5 and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, GPT-5 scores 74.9% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, GPT-5 scores 85.4% versus 54.2% for Mistral Large 2 (2411) (and 98% vs 76.5% on MATH-500).
When should you choose GPT-5?
Choose GPT-5 (OpenAI) for complex enterprise automation, full-stack software engineering, multimodal agent orchestration, and scientific synthesis — offering a 409k context window, 340ms TTFT, and $2.50/1M input pricing ($0.625/1M 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).
