Which model is better: Claude 3.5 Haiku or Grok 3?
Claude 3.5 Haiku is 73.3% cheaper for input tokens ($0.80 vs. $3.00 per 1M tokens) and $4.00 vs. $15.00 for output tokens (3.8x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (430ms faster than Grok 3) with 130 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 84.6% 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
Grok 3
Net Delta / Advantage
Input Cost / 1M Tokens
$0.80
$3.00
Claude 3.5 Haiku is 3.8x cheaper
Output Cost / 1M Tokens
$4.00
$15.00
Claude 3.5 Haiku (73.3% lower)
Prompt Cache Read / 1M
$0.080
$0.750
Claude 3.5 Haiku is 9.4x cheaper
Prompt Cache Write / 1M
$1.00
$3.00
Claude 3.5 Haiku is 3.0x cheaper
Context Window (Max Output)
205k (8k out)
134k (16k out)
Claude 3.5 Haiku (1.5x larger context)
Avg TTFT Response Latency
190ms
620ms
Claude 3.5 Haiku (430ms faster)
Generation Speed (Throughput)
130 tok/s
88 tok/s
Claude 3.5 Haiku (+42 tok/s faster)
SWE-bench Verified (Coding)
40.6%
65.8%
Grok 3 (+25.2% lead)
GPQA Diamond (PhD STEM)
41.6%
84.6%
Grok 3 (+43.0% lead)
MMLU-Pro (Multi-Discipline)
71%
80%
Grok 3 (+9.0% lead)
MATH-500 (Quantitative Logic)
69.4%
89.8%
Grok 3 (+20.4% lead)
Inference Value Score (IVR)
52.4 / 100
52.7 / 100
Grok 3 (+0.3 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $3.00/1M input ($15.00/1M output) for Grok 3.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or Grok 3?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 620ms TTFT (88 tok/s) for Grok 3.
How do Claude 3.5 Haiku and Grok 3 compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 65.8% for Grok 3. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 84.6% for Grok 3 (and 69.4% vs 89.8% 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 Grok 3?
Choose Grok 3 (xAI) for massive compute foundation model specialized in PhD-level science reasoning, real-time data analysis, and enterprise logic — offering a 134k context window, 620ms TTFT, and $3.00/1M input pricing ($0.750/1M cached reads).
