Which model is better: Claude 4.5 Sonnet or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $6.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Both models demonstrate comparable response latency around 380ms TTFT (84 vs. 75 tok/s). Claude 4.5 Sonnet leads coding evaluations at 75.8% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 84.2% 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
Claude 4.5 Sonnet
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$3.00
$2.00
Mistral Large 2 (2411) is 1.5x cheaper
Output Cost / 1M Tokens
$15.00
$6.00
Mistral Large 2 (2411) (60.0% lower)
Prompt Cache Read / 1M
$0.300
$0.200
Mistral Large 2 (2411) is 1.5x cheaper
Prompt Cache Write / 1M
$3.75
$2.00
Mistral Large 2 (2411) is 1.9x cheaper
Context Window (Max Output)
205k (64k out)
131k (8k out)
Claude 4.5 Sonnet (1.6x larger context)
Avg TTFT Response Latency
380ms
380ms
Identical Latency
Generation Speed (Throughput)
84 tok/s
75 tok/s
Claude 4.5 Sonnet (+9 tok/s faster)
SWE-bench Verified (Coding)
75.8%
45.2%
Claude 4.5 Sonnet (+30.6% lead)
GPQA Diamond (PhD STEM)
84.2%
54.2%
Claude 4.5 Sonnet (+30.0% lead)
MMLU-Pro (Multi-Discipline)
90.4%
74.8%
Claude 4.5 Sonnet (+15.6% lead)
MATH-500 (Quantitative Logic)
97.5%
76.5%
Claude 4.5 Sonnet (+21.0% lead)
Inference Value Score (IVR)
56.5 / 100
50.1 / 100
Claude 4.5 Sonnet (+6.4 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: Claude 4.5 Sonnet or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Claude 4.5 Sonnet.
Which model has lower TTFT latency and higher tok/s throughput: Claude 4.5 Sonnet or Mistral Large 2 (2411)?
Both Claude 4.5 Sonnet and Mistral Large 2 (2411) deliver comparable response times around 380ms TTFT.
How do Claude 4.5 Sonnet and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 54.2% for Mistral Large 2 (2411) (and 97.5% vs 76.5% on MATH-500).
When should you choose Claude 4.5 Sonnet?
Choose Claude 4.5 Sonnet (Anthropic) for end-to-end autonomous coding agents, complex multi-file debugging, browser/GUI automation, and high-precision technical writing — offering a 204k context window, 380ms TTFT, and $3.00/1M input pricing ($0.300/1M 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).
