Head-to-head · frontier vs frontier

Claude Sonnet 4.5 Pro vs o4 Turbo: which model should you choose?

We compared Claude Sonnet 4.5 Pro and o4 Turbo on price, context window and 12 benchmarks. Claude Sonnet 4.5 Pro has the stronger average benchmark score; Claude Sonnet 4.5 Pro is cheaper on a blended 3:1 basis.

Anthropic

Claude Sonnet 4.5 Pro

Claude Sonnet 4.5 Pro is a frontier model from Anthropic. It offers a 1,000,000-token context window, costs $18.73 per million input tokens and $82.29 per million output tokens, and averages 86.7 across the index's benchmark suite.

Input
$18.73 / 1M
Output
$82.29 / 1M
Context
1,000,000
Avg score
86.7
Open weights
No
Full Claude Sonnet 4.5 Pro page
OpenAI

o4 Turbo

o4 Turbo is a frontier model from OpenAI. It offers a 2,000,000-token context window, costs $19.34 per million input tokens and $82.19 per million output tokens, and averages 86.6 across the index's benchmark suite.

Input
$19.34 / 1M
Output
$82.19 / 1M
Context
2,000,000
Avg score
86.6
Open weights
No
Full o4 Turbo page

Specification comparison

SpecClaude Sonnet 4.5 Proo4 TurboEdge
Input price / 1M$18.73$19.34A
Output price / 1M$82.29$82.19B
Context window1,000,0002,000,000B
Max output16,3848,192A
Average score86.786.6A
Arena Elo1469.01468.1A
Open weightsNoNoTie

Benchmark comparison

Claude Sonnet 4.5 Pro wins 7, o4 Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Sonnet 4.5 Proo4 TurboGapWinner
MMLU-Pro86.388.11.8o4 Turbo
GPQA Diamond83.184.81.7o4 Turbo
SWE-bench Verified73.978.44.5o4 Turbo
HumanEval92.791.01.7Claude Sonnet 4.5 Pro
MATH-50090.191.71.6o4 Turbo
AIME 202588.485.92.5Claude Sonnet 4.5 Pro
LiveCodeBench81.980.11.8Claude Sonnet 4.5 Pro
IFEval94.192.61.5Claude Sonnet 4.5 Pro
TruthfulQA86.188.82.7o4 Turbo
HellaSwag92.691.31.3Claude Sonnet 4.5 Pro
MMMU84.579.64.9Claude Sonnet 4.5 Pro
Arena Elo1469.01468.10.9Claude Sonnet 4.5 Pro

Price analysis

On a blended 3:1 input-to-output basis, Claude Sonnet 4.5 Pro costs about $34.62 per million tokens and o4 Turbo costs about $35.05. Claude Sonnet 4.5 Pro is roughly 1% cheaper than o4 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

o4 Turbo has the larger context window at 2,000,000 tokens, compared with 1,000,000 for Claude Sonnet 4.5 Pro. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Sonnet 4.5 Pro wins 7, o4 Turbo wins 5, and 0 are tied. On the index average, Claude Sonnet 4.5 Pro leads o4 Turbo by 0.1 points (86.7 versus 86.6).

The price picture favours Claude Sonnet 4.5 Pro. The context picture favours o4 Turbo. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Claude Sonnet 4.5 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Claude Sonnet 4.5 Pro if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 16,384-token output limit.

Choose o4 Turbo if

  • You need the larger 2,000,000-token context window.

FAQ

Is Claude Sonnet 4.5 Pro better than o4 Turbo?

On the index average, Claude Sonnet 4.5 Pro leads o4 Turbo by 0.1 points (86.7 versus 86.6). The better choice depends on price, context and your task. Claude Sonnet 4.5 Pro wins 7 benchmarks, o4 Turbo wins 5.

Which is cheaper, Claude Sonnet 4.5 Pro or o4 Turbo?

Claude Sonnet 4.5 Pro is cheaper on a blended 3:1 basis at about $34.62 per million tokens, versus $35.05 for o4 Turbo.

Which has the larger context window?

o4 Turbo has the larger context window at 2,000,000 tokens. Claude Sonnet 4.5 Pro has 1,000,000 tokens.

Are these models open weights?

Claude Sonnet 4.5 Pro is proprietary; o4 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Claude Sonnet 4.5 Pro for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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