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Claude Sonnet 4.5 (batch) vs o1

vs
o1

OpenAI

74#106
Signal-by-Signal Comparison
SignalClaude Sonnet 4.5 (batch)Deltao1
Capabilities
100
--
100
Benchmarks
75
-1
77
Pricing
93
+53
40
Context window size
95
+11
84
Recency
63
+52
11
Output Capacity
77
-3
80
Overall Result
3 wins
of 6
2 wins
Claude Sonnet 4.5 (batch) wins 3 of 6 signals

Score History

Score History (35 data points)
Claude Sonnet 4.5 (batch)o1
Claude Sonnet 4.5 (batch)

75.3

current score

Leader

Claude Sonnet 4.5 (batch)

right now

o1

74.4

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Sonnet 4.5 (batch)

Anthropic

Best Value
Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

o1

OpenAI

Per request$0.045000
Daily$150.00
Monthly$4500.00
Annual$54000.00

Claude Sonnet 4.5 (batch) saves you $3975.00/month

That's $47700.00/year compared to o1 at your current usage level of 100K calls/month.

88% cheaper
Choose Claude Sonnet 4.5 (batch) for cost optimization

Claude Sonnet 4.5 (batch) pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
o1 pricing:
Input:$15.00/M tokens
Output:$60.00/M tokens
Winner
Claude Sonnet 4.5 (batch)

Anthropic

75

Composite Score

o1

OpenAI

74

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.5 (batch)o1Winner
Overall Score
75
74
Claude Sonnet 4.5 (batch)
Rank#104#106
Claude Sonnet 4.5 (batch)
Quality Rank#104#106
Claude Sonnet 4.5 (batch)
Adoption Rank#104#106
Claude Sonnet 4.5 (batch)
Parameters------
Context Window1000K200K
Claude Sonnet 4.5 (batch)
Pricing$1.50/$7.50/M$15.00/$60.00/M--
Signal Scores
Capabilities
100
100
Claude Sonnet 4.5 (batch)
Benchmarks
75
77
o1
Pricing
93
40
Claude Sonnet 4.5 (batch)
Context window size
95
84
Claude Sonnet 4.5 (batch)
Recency
63
11
Claude Sonnet 4.5 (batch)
Output Capacity
77
80
o1
Benchmark Head-to-Head(13 benchmarks)
Claude Sonnet: 51 tieso1: 6
Claude Sonnet
o1
Normalized 0-100%
MMLU
89.5%91.8%
MMLU-Pro
83.7%80.3%
GPQA Diamond
75.4%78%
MATH-500
81.4%96.4%
HumanEval
93.8%92.4%
SWE-bench Verified
72.7%48.9%
AIME 2024
58%83.3%
IFEval
90.8%86.5%
BBH
87%89%
Arena Elo
13871350
LiveBench
67%-
HLE
5.52%8.12%
BigCodeBench
32.4%32.4%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Claude Sonnet 4.5 (batch)Strong Performer

Scores 75/100 (rank #104), placing it in the top 64% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o1Strong Performer

Scores 74/100 (rank #106), placing it in the top 64% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Claude Sonnet 4.5 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o1 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Sonnet 4.5 (batch)Best Value
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.120
Est. monthly (1M tokens/day)$135.00
o1
Input cost$15.00/M tokens
Output cost$60.00/M tokens
Cost per quality point$1.008
Est. monthly (1M tokens/day)$1125.00

Claude Sonnet 4.5 (batch) offers 88% better value per quality point. At 1M tokens/day, you'd spend $135.00/month with Claude Sonnet 4.5 (batch) vs $1125.00/month with o1 - a $990.00 monthly difference.

Latency & Speed
Claude Sonnet 4.5 (batch)Faster
Speed score0/100
o1
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Sonnet 4.5 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Claude Sonnet 4.5 (batch) also offers lower per-token costs for high-volume support

Claude Sonnet 4.5 (batch)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Sonnet 4.5 (batch)

Batch data extraction

Lower output pricing ($7.50/M) reduces costs when processing thousands of records daily

Claude Sonnet 4.5 (batch)

Creative writing & content

Higher overall composite score (75/100) correlates with better nuance, coherence, and style in long-form content

Claude Sonnet 4.5 (batch)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Sonnet 4.5 (batch)
Which Should You Choose?
Our recommendation:
Claude Sonnet 4.5 (batch)

Claude Sonnet 4.5 (batch) and o1 are extremely close in overall performance (only 0.8999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 88% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityClaude Sonnet 4.5 (batch)o1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Sonnet 4.5 (batch)

Anthropic

Best Value
$11.70
estimated monthly cost

o1

OpenAI

$99.00
estimated monthly cost

Claude Sonnet 4.5 (batch) saves you $87.30/month

That's 88% cheaper than o1 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterClaude Sonnet 4.5 (batch)o1
Context Window1M200K
Max Output Tokens64,000100,000
Open SourceNoNo
CreatedSep 29, 2025Dec 17, 2024
Last updated: 39m ago

相关对比

Claude Sonnet 4.5 (batch) vs o1 (2026) | LM Market Cap