💰 Unit Cost Winner GPT-6.1 Sol $2.00/1M in · $10.00/1M out
⚡ Latency & Speed Winner Claude 4.5 Sonnet 380ms TTFT · 84 tok/s
💻 Coding (SWE) Winner GPT-6.1 Sol 86.4% SWE-bench · 96.8% HumanEval
🧠 STEM Reasoning Winner GPT-6.1 Sol 92.4% GPQA · 98.8% MATH-500

Which model is better: Claude 4.5 Sonnet or GPT-6.1 Sol?

GPT-6.1 Sol is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 4.5 Sonnet delivers lower response latency at 380ms TTFT (140ms faster than GPT-6.1 Sol) with 84 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 75.8% for Claude 4.5 Sonnet and 92.4% vs. 84.2% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.

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 GPT-6.1 Sol Net Delta / Advantage
Input Cost / 1M Tokens $3.00 $2.00 GPT-6.1 Sol is 1.5x cheaper
Output Cost / 1M Tokens $15.00 $10.00 GPT-6.1 Sol (33.3% lower)
Prompt Cache Read / 1M $0.300 $0.100 GPT-6.1 Sol is 3.0x cheaper
Prompt Cache Write / 1M $3.75 $2.00 GPT-6.1 Sol is 1.9x cheaper
Context Window (Max Output) 205k (64k out) 1,075k (128k out) GPT-6.1 Sol (5.3x larger context)
Avg TTFT Response Latency 380ms 520ms Claude 4.5 Sonnet (140ms faster)
Generation Speed (Throughput) 84 tok/s 135 tok/s GPT-6.1 Sol (+51 tok/s faster)
SWE-bench Verified (Coding) 75.8% 86.4% GPT-6.1 Sol (+10.6% lead)
GPQA Diamond (PhD STEM) 84.2% 92.4% GPT-6.1 Sol (+8.2% lead)
MMLU-Pro (Multi-Discipline) 90.4% 91% GPT-6.1 Sol (+0.6% lead)
MATH-500 (Quantitative Logic) 97.5% 98.8% GPT-6.1 Sol (+1.3% lead)
Inference Value Score (IVR) 56.5 / 100 62.9 / 100 GPT-6.1 Sol (+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.

25.0M Tokens
500K 50M 250M 500M+
5.0M Tokens
100K 25M 75M 150M+
50% Cached
0% (Uncached) 25% 50% (Typical Agent) 95% Max

Estimated Monthly Spend

Claude 4.5 Sonnet $116.25

$3.00/1M in · $15.00/1M out

Prompt Cache: $0.300/1M read · $3.75/1M write

GPT-6.1 Sol $76.25

$2.00/1M in · $10.00/1M out

Prompt Cache: $0.100/1M read · $2.00/1M write

Projected Monthly Cost Reduction
$40.00 / mo
(34.4% lower cost with GPT-6.1 Sol)
Open Full Matchup Analysis →
A

When to 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).

B

When to 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).

Related Questions & Decision Factors

Which is cheaper: Claude 4.5 Sonnet or GPT-6.1 Sol?

GPT-6.1 Sol is cheaper at $2.00/1M input tokens ($10.00/1M 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 GPT-6.1 Sol?

Claude 4.5 Sonnet delivers faster first-token latency at 380ms TTFT (84 tok/s throughput) compared to 520ms TTFT (135 tok/s) for GPT-6.1 Sol.

How do Claude 4.5 Sonnet and GPT-6.1 Sol compare on SWE-bench coding and GPQA Diamond reasoning?

On SWE-bench Verified software engineering, Claude 4.5 Sonnet scores 75.8% versus 86.4% for GPT-6.1 Sol. On GPQA Diamond graduate-level STEM reasoning, Claude 4.5 Sonnet scores 84.2% versus 92.4% for GPT-6.1 Sol (and 97.5% vs 98.8% 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 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).

Explore High-Priority Related Model Matchups