Which model is better: Claude Opus 5.5 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is 50.0% cheaper for input tokens ($2.00 vs. $4.00 per 1M tokens) and $6.00 vs. $20.00 for output tokens (2.0x cost advantage). In terms of operational performance, Mistral Large 2 (2411) delivers lower response latency at 380ms TTFT (300ms faster than Claude Opus 5.5) with 75 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 93.2% 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 Opus 5.5
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$4.00
$2.00
Mistral Large 2 (2411) is 2.0x cheaper
Output Cost / 1M Tokens
$20.00
$6.00
Mistral Large 2 (2411) (70.0% lower)
Prompt Cache Read / 1M
$0.200
$0.200
Identical Cache Read Pricing
Prompt Cache Write / 1M
$5.00
$2.00
Mistral Large 2 (2411) is 2.5x cheaper
Context Window (Max Output)
1,024k (128k out)
131k (8k out)
Claude Opus 5.5 (7.8x larger context)
Avg TTFT Response Latency
680ms
380ms
Mistral Large 2 (2411) (300ms faster)
Generation Speed (Throughput)
95 tok/s
75 tok/s
Claude Opus 5.5 (+20 tok/s faster)
SWE-bench Verified (Coding)
89.9%
45.2%
Claude Opus 5.5 (+44.7% lead)
GPQA Diamond (PhD STEM)
93.2%
54.2%
Claude Opus 5.5 (+39.0% lead)
MMLU-Pro (Multi-Discipline)
92.1%
74.8%
Claude Opus 5.5 (+17.3% lead)
MATH-500 (Quantitative Logic)
98%
76.5%
Claude Opus 5.5 (+21.5% lead)
Inference Value Score (IVR)
57.8 / 100
50.1 / 100
Claude Opus 5.5 (+7.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M cached reads).
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 Opus 5.5 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) is cheaper at $2.00/1M input tokens ($6.00/1M output) compared to $4.00/1M input ($20.00/1M output) for Claude Opus 5.5.
Which model has lower TTFT latency and higher tok/s throughput: Claude Opus 5.5 or Mistral Large 2 (2411)?
Mistral Large 2 (2411) delivers faster first-token latency at 380ms TTFT (75 tok/s throughput) compared to 680ms TTFT (95 tok/s) for Claude Opus 5.5.
How do Claude Opus 5.5 and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude Opus 5.5 scores 89.9% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Claude Opus 5.5 scores 93.2% versus 54.2% for Mistral Large 2 (2411) (and 98% vs 76.5% on MATH-500).
When should you choose Claude Opus 5.5?
Choose Claude Opus 5.5 (Anthropic) for top-ranked frontier intelligence leader for autonomous multi-step agentic coding, repository-scale migrations, and complex scientific reasoning at a 40% lower workload cost than Opus 5 — offering a 1,024k context window, 680ms TTFT, and $4.00/1M input pricing ($0.200/1M 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).
