💻 Coding (SWE) WinnerGPT-6.1 Sol 86.4% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning WinnerGPT-6.1 Sol 92.4% GPQA · 98.8% MATH-500
Which model is better: Claude 3.5 Haiku or GPT-6.1 Sol?
Claude 3.5 Haiku is 60.0% cheaper for input tokens ($0.80 vs. $2.00 per 1M tokens) and $4.00 vs. $10.00 for output tokens (2.5x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (330ms faster than GPT-6.1 Sol) with 130 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 92.4% 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
GPT-6.1 Sol
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
$10.00
Claude 3.5 Haiku (60.0% lower)
Prompt Cache Read / 1M
$0.080
$0.100
Claude 3.5 Haiku is 1.3x cheaper
Prompt Cache Write / 1M
$1.00
$2.00
Claude 3.5 Haiku is 2.0x cheaper
Context Window (Max Output)
205k (8k out)
1,075k (128k out)
GPT-6.1 Sol (5.3x larger context)
Avg TTFT Response Latency
190ms
520ms
Claude 3.5 Haiku (330ms faster)
Generation Speed (Throughput)
130 tok/s
135 tok/s
GPT-6.1 Sol (+5 tok/s faster)
SWE-bench Verified (Coding)
40.6%
86.4%
GPT-6.1 Sol (+45.8% lead)
GPQA Diamond (PhD STEM)
41.6%
92.4%
GPT-6.1 Sol (+50.8% lead)
MMLU-Pro (Multi-Discipline)
71%
91%
GPT-6.1 Sol (+20.0% lead)
MATH-500 (Quantitative Logic)
69.4%
98.8%
GPT-6.1 Sol (+29.4% lead)
Inference Value Score (IVR)
52.4 / 100
62.9 / 100
GPT-6.1 Sol (+10.5 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
Which is cheaper: Claude 3.5 Haiku or GPT-6.1 Sol?
Claude 3.5 Haiku is cheaper at $0.80/1M input tokens ($4.00/1M output) compared to $2.00/1M input ($10.00/1M output) for GPT-6.1 Sol.
Which model has lower TTFT latency and higher tok/s throughput: Claude 3.5 Haiku or GPT-6.1 Sol?
Claude 3.5 Haiku delivers faster first-token latency at 190ms TTFT (130 tok/s throughput) compared to 520ms TTFT (135 tok/s) for GPT-6.1 Sol.
How do Claude 3.5 Haiku and GPT-6.1 Sol compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Claude 3.5 Haiku scores 40.6% versus 86.4% for GPT-6.1 Sol. On GPQA Diamond graduate-level STEM reasoning, Claude 3.5 Haiku scores 41.6% versus 92.4% for GPT-6.1 Sol (and 69.4% vs 98.8% 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 GPT-6.1 Sol?
Choose GPT-6.1 Sol (OpenAI) for delivers near-GPT-6 Astra frontier accuracy at one-fifth the token cost with a 95% cache read discount for high-efficiency agentic coding, computer use, and enterprise workflow automation — offering a 1,075k context window, 520ms TTFT, and $2.00/1M input pricing ($0.100/1M cached reads).
