Compare/o1-pro vs Claude 4.1 Opus (Non-reasoning)

o1-provsClaude 4.1 Opus (Non-reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

OpenAI

o1-pro

Input
$150/M
Output
$600/M
Speed
TTFT
Anthropic

Claude 4.1 Opus (Non-reasoning)

Input
$15/M
Output
$75/M
Speed
TTFT

Winner by Category

Cheaper
Claude 4.1 Opus (Non-reasoning)
Faster (tok/s)
Lower Latency
Benchmarks (0-1)
Claude 4.1 Opus (Non-reasoning)

Pricing Comparison

Metrico1-proClaude 4.1 Opus (Non-reasoning)
Input ($/M tokens)$150$15
Output ($/M tokens)$600$75
Cost for 1M input + 100K output tokens:
o1-pro$210.00
Claude 4.1 Opus (Non-reasoning)$22.50

Speed Comparison

Speed data not available for these models.

Editorial Analysis

Verdict. Claude 4.1 Opus (Non-reasoning) takes the aggregate benchmark matchup 1–0 across 1 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.

Pricing. Both models sit in the premium bracket for output-token pricing. At 8.0× the per-million-token cost, Claude 4.1 Opus (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Claude 4.1 Opus (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.

Strengths. o1-pro is strongest on Intelligence Index (19.1). Claude 4.1 Opus (Non-reasoning) leads on Intelligence Index (28.8).

Speed. Speed data is incomplete for this pair; benchmark and price should decide.

Provider. OpenAI and Anthropic sell to overlapping but distinct developer audiences: OpenAI tends to ship frontier reasoning models with premium positioning, while Anthropic often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.

Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): o1-pro costs $13500.00 ($162000/year); Claude 4.1 Opus (Non-reasoning) costs $1575.00 ($18900/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): o1-pro ≈ $1950.00/run, Claude 4.1 Opus (Non-reasoning) ≈ $225.00/run. At agent/realtime scale (200M input / 100M output per million requests): o1-pro ≈ $90000/run, Claude 4.1 Opus (Non-reasoning) ≈ $10500/run. Claude 4.1 Opus (Non-reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.

Recommendation. Benchmarks are too close to call (1-win swing) but o1-pro is 8.0× more expensive per million output tokens. For most workloads the cheaper option (Claude 4.1 Opus (Non-reasoning)) wins on cost-quality tradeoff. Only pay the premium for o1-pro if you have a measured lift on a task your product depends on.

Head-to-head deltas

  • Claude 4.1 Opus (Non-reasoning) is 8.00× cheaper per million output tokens than o1-pro. At scale, that price ratio is roughly your monthly bill — the deciding factor for most production teams.

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
19.128.8
Coding Index
Math Index
GPQA Diamond
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
SciCode
IFBench
TerminalBench
o1-pro0 wins
1 winsClaude 4.1 Opus (Non-reasoning)

Frequently Asked Questions

Which is cheaper, o1-pro or Claude 4.1 Opus (Non-reasoning)?

Claude 4.1 Opus (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $30.00/M tokens vs $262.50/M for o1-pro.

Which model performs better on benchmarks?

Claude 4.1 Opus (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for o1-pro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Both models have comparable generation speeds.

When should I use o1-pro vs Claude 4.1 Opus (Non-reasoning)?

Choose based on your priorities: Claude 4.1 Opus (Non-reasoning) for lower cost, Claude 4.1 Opus (Non-reasoning) for stronger benchmark performance, and both have comparable speed. For latency-sensitive apps, check the TTFT comparison above.