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Claude Opus 4.6 vs o3

Complete pricing and performance comparison between Anthropic's Claude Opus 4.6 and OpenAI's o3.

Quick Verdict

Cheaper
o3
2.5x cheaper input, 3.1x cheaper output
Larger Context
Claude Opus 4.6
200K vs 200K
Higher Quality
Claude Opus 4.6
Score: 47 vs 38
Faster
o3
79 vs 56 tok/s

Pricing Comparison

SpecClaude Opus 4.6o3Difference
ProviderAnthropicOpenAI
Input / 1M tokens$5$2o3 is 60% more expensive
Output / 1M tokens$25$8o3 is 68% more expensive
Context Window200K200KSame
Max Output32K100K
Tokenizercl100k_baseo200k_base

Performance Benchmarks

MetricClaude Opus 4.6o3Winner
Quality Index4738Claude Opus 4.6
Output Speed56 tok/s79 tok/so3
Time to First Token1.77s10.83sClaude Opus 4.6
Value (Quality/$)9.319.2Higher = better value

Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.

Cost at Scale

Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).

UsageClaude Opus 4.6o3Savings
Single request
1K in / 300 out
$0.013$0.0044o3 saves $0.0081
10 requests
10K in / 3K out
$0.125$0.044o3 saves $0.081
100 requests
100K in / 30K out
$1.25$0.440o3 saves $0.810
1,000 requests
1M in / 300K out
$12.50$4.40o3 saves $8.10
10,000 requests
10M in / 3M out
$125.00$44.00o3 saves $81.00
1M requests/mo
1B in / 300M out
$12500.00$4400.00o3 saves $8100.00

Pros & Cons

Claude Opus 4.6 Strengths

  • +Higher quality score (47 vs 38)
  • +Lower latency (faster first token)

o3 Strengths

  • +Cheaper input tokens
  • +Cheaper output tokens
  • +Higher max output tokens
  • +Faster output (79 vs 56 tok/s)

When to Use Each Model

Choose Claude Opus 4.6 for

  • Tasks requiring maximum accuracy and reasoning

Choose o3 for

  • Budget-conscious projects where cost is the primary factor
  • Generating long-form content or detailed code
  • Real-time applications, chat, or autocomplete

Frequently Asked Questions

Which is cheaper, Claude Opus 4.6 or o3?
For input tokens, o3 is 2.5x cheaper at $2/1M tokens. For output tokens, o3 is 3.1x cheaper at $8/1M tokens. At typical usage (1M input + 300K output), Claude Opus 4.6 costs $12.50 vs o3 at $4.40.
What's the context window difference?
Claude Opus 4.6 supports 200K context (200,000 tokens), while o3 supports 200K (200,000 tokens). o3 can handle 1x more context in a single request.
Which model has better benchmarks?
Quality Index: Claude Opus 4.6 scores 47 vs o3 at 38. Speed: Claude Opus 4.6 generates 56 tok/s vs o3 at 79 tok/s. Time to first token: Claude Opus 4.6 at 1.77s vs o3 at 10.83s.
When should I choose Claude Opus 4.6 over o3?
Choose Claude Opus 4.6 when you need: Higher quality score (47 vs 38), Lower latency (faster first token). Choose o3 when you need: Cheaper input tokens, Cheaper output tokens, Higher max output tokens, Faster output (79 vs 56 tok/s).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): Claude Opus 4.6 = $125.00, o3 = $44.00. At 10K input + 1K output per request (longer conversations): Claude Opus 4.6 = $750.00, o3 = $280.00.

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