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Claude Sonnet 4.6 vs o3

Claude Sonnet 4.6

Anthropic

85#45
vs
o3

OpenAI

87#43
Signal-by-Signal Comparison
SignalClaude Sonnet 4.6Deltao3
Capabilities
100
--
100
Benchmarks
82
-6
88
Pricing
85
-7
92
Context window size
95
+11
84
Recency
100
+52
48
Output Capacity
85
+2
83
Overall Result
3 wins
of 6
2 wins
Claude Sonnet 4.6 wins 3 of 6 signals

Score History

Score History (24 data points)
Claude Sonnet 4.6o3
Claude Sonnet 4.6

85.2

current score

Leader

o3

right now

o3

86.7

current score

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

Claude Sonnet 4.6

Anthropic

Per request$0.010500
Daily$35.00
Monthly$1050.00
Annual$12600.00

o3

OpenAI

Best Value
Per request$0.006000
Daily$20.00
Monthly$600.00
Annual$7200.00

o3 saves you $450.00/month

That's $5400.00/year compared to Claude Sonnet 4.6 at your current usage level of 100K calls/month.

43% cheaper
Choose o3 for cost optimization

Claude Sonnet 4.6 pricing:
Input:$3.00/M tokens
Output:$15.00/M tokens
o3 pricing:
Input:$2.00/M tokens
Output:$8.00/M tokens
Claude Sonnet 4.6

Anthropic

85

Composite Score

Winner
o3

OpenAI

87

Composite Score

Signal-by-Signal Comparison
MetricClaude Sonnet 4.6o3Winner
Overall Score
85
87
o3
Rank#45#43
o3
Quality Rank#45#43
o3
Adoption Rank#45#43
o3
Parameters------
Context Window1000K200K
Claude Sonnet 4.6
Pricing$3.00/$15.00/M$2.00/$8.00/M--
Signal Scores
Capabilities
100
100
Claude Sonnet 4.6
Benchmarks
82
88
o3
Pricing
85
92
o3
Context window size
95
84
Claude Sonnet 4.6
Recency
100
48
Claude Sonnet 4.6
Output Capacity
85
83
Claude Sonnet 4.6
Benchmark Head-to-Head(13 benchmarks)
Claude Sonnet: 3o3: 9
Claude Sonnet
o3
Normalized 0-100%
MMLU
91.2%92.3%
MMLU-Pro
79%85.8%
GPQA Diamond
82%87.7%
MATH-500
85.3%99%
HumanEval
95.2%97%
SWE-bench Verified
79.6%71.7%
AIME 2024
65%96.7%
IFEval
91%92%
BBH
89.8%93%
Arena Elo
14601415
LiveBench
73.2%74.8%
HLE
30.5%30.1%
BigCodeBench
68.4%-
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 4.6Elite Tier

Scores 85/100 (rank #45), placing it in the top 85% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
o3Elite Tier

Scores 87/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 2-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 4.6 when you need:

  • Processing long documents or large codebases (1000K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose o3 when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Sonnet 4.6
Input cost$3.00/M tokens
Output cost$15.00/M tokens
Cost per quality point$0.211
Est. monthly (1M tokens/day)$270.00
o3Best Value
Input cost$2.00/M tokens
Output cost$8.00/M tokens
Cost per quality point$0.115
Est. monthly (1M tokens/day)$150.00

o3 offers 44% better value per quality point. At 1M tokens/day, you'd spend $150.00/month with o3 vs $270.00/month with Claude Sonnet 4.6 - a $120.00 monthly difference.

Latency & Speed
Claude Sonnet 4.6Faster
Speed score0/100
o3
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 4.6

Customer support chatbot

Suitable for user-facing chat with competitive response times. o3 also offers lower per-token costs for high-volume support

Claude Sonnet 4.6

Long document analysis

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

Claude Sonnet 4.6

Batch data extraction

Lower output pricing ($8.00/M) reduces costs when processing thousands of records daily

o3

Creative writing & content

Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content

o3

Image understanding & OCR

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

Claude Sonnet 4.6
Which Should You Choose?
Our recommendation:
o3

Claude Sonnet 4.6 and o3 are extremely close in overall performance (only 1.5 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 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
o3
Recommended

by OpenAI

  • Choose for Cost - 44% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Sonnet 4.6o3
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 4.6

Anthropic

$23.40
estimated monthly cost

o3

OpenAI

Best Value
$13.20
estimated monthly cost

o3 saves you $10.20/month

That's 44% cheaper than Claude Sonnet 4.6 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 4.6o3
Context Window1M200K
Max Output Tokens128,000100,000
Open SourceNoNo
CreatedFeb 17, 2026Apr 16, 2025
Last updated: 1h ago

相关对比

Claude Sonnet 4.6 vs o3 (2026) | LM Market Cap