Which model is better: Claude 3.5 Haiku or Mistral Large 2 (2411)?
Claude 3.5 Haiku is 60.0% cheaper for input tokens ($0.80 vs. $2.00 per 1M tokens) and $4.00 vs. $6.00 for output tokens (2.5x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (190ms faster than Mistral Large 2 (2411)) with 130 vs. 75 tok/s throughput. Mistral Large 2 (2411) leads coding evaluations at 45.2% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 54.2% vs. 41.6% 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 3.5 Haiku
Mistral Large 2 (2411)
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$2.00
Claude 3.5 Haiku is 2.5x cheaper
Output Cost / 1M Tokens
$4.00
$6.00
Claude 3.5 Haiku (33.3% lower)
Prompt Cache Read / 1M
$0.080
$0.200
Claude 3.5 Haiku is 2.5x cheaper
Prompt Cache Write / 1M
$1.00
$2.00
Claude 3.5 Haiku is 2.0x cheaper
Context Window (Max Output)
205k (8k out)
131k (8k out)
Claude 3.5 Haiku (1.6x larger context)
Avg TTFT Response Latency
190ms
380ms
Claude 3.5 Haiku (190ms faster)
Generation Speed (Throughput)
130 tok/s
75 tok/s
Claude 3.5 Haiku (+55 tok/s faster)
SWE-bench Verified (Coding)
40.6%
45.2%
Mistral Large 2 (2411) (+4.6% lead)
GPQA Diamond (PhD STEM)
41.6%
54.2%
Mistral Large 2 (2411) (+12.6% lead)
MMLU-Pro (Multi-Discipline)
71%
74.8%
Mistral Large 2 (2411) (+3.8% lead)
MATH-500 (Quantitative Logic)
69.4%
76.5%
Mistral Large 2 (2411) (+7.1% lead)
Inference Value Score (IVR)
52.4 / 100
50.1 / 100
Claude 3.5 Haiku (+2.3 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 3.5 Haiku or Mistral Large 2 (2411)?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $2.00/1M input ($6.00/1M output) for Mistral Large 2 (2411).
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or Mistral Large 2 (2411)?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 380ms TTFT (75 tok/s) for Mistral Large 2 (2411).
How do Claude 3.5 Haiku and Mistral Large 2 (2411) compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 45.2% for Mistral Large 2 (2411). On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 54.2% for Mistral Large 2 (2411) (and 69.4% vs 76.5% on MATH-500).
When should you choose Claude 3.5 Haiku?
Choose Claude 3.5 Haiku (Anthropic) for rapid customer-facing chat, sub-agent routing, and real-time code autocomplete — offering a 204k context window, 190ms TTFT, and $0.80/1M input pricing ($0.080/1M 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).
