Head-to-head · frontier vs frontier

Claude Sonnet 4.5 Turbo vs Grok 4 Turbo: which model should you choose?

We compared Claude Sonnet 4.5 Turbo and Grok 4 Turbo on price, context window and 12 benchmarks. Grok 4 Turbo has the stronger average benchmark score; Claude Sonnet 4.5 Turbo is cheaper on a blended 3:1 basis.

Anthropic

Claude Sonnet 4.5 Turbo

Claude Sonnet 4.5 Turbo is a frontier model from Anthropic. It offers a 1,000,000-token context window, costs $18.37 per million input tokens and $81.65 per million output tokens, and averages 85.9 across the index's benchmark suite.

Input
$18.37 / 1M
Output
$81.65 / 1M
Context
1,000,000
Avg score
85.9
Open weights
No
Full Claude Sonnet 4.5 Turbo page
xAI

Grok 4 Turbo

Grok 4 Turbo is a frontier model from xAI. It offers a 1,000,000-token context window, costs $19.21 per million input tokens and $87.37 per million output tokens, and averages 86.7 across the index's benchmark suite.

Input
$19.21 / 1M
Output
$87.37 / 1M
Context
1,000,000
Avg score
86.7
Open weights
No
Full Grok 4 Turbo page

Specification comparison

SpecClaude Sonnet 4.5 TurboGrok 4 TurboEdge
Input price / 1M$18.37$19.21A
Output price / 1M$81.65$87.37A
Context window1,000,0001,000,000Tie
Max output65,53665,536Tie
Average score85.986.7B
Arena Elo1461.71466.9B
Open weightsNoNoTie

Benchmark comparison

Claude Sonnet 4.5 Turbo wins 5, Grok 4 Turbo wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkClaude Sonnet 4.5 TurboGrok 4 TurboGapWinner
MMLU-Pro87.286.11.1Claude Sonnet 4.5 Turbo
GPQA Diamond83.784.50.8Grok 4 Turbo
SWE-bench Verified75.273.81.4Claude Sonnet 4.5 Turbo
HumanEval90.492.92.5Grok 4 Turbo
MATH-50088.092.14.1Grok 4 Turbo
AIME 202587.885.22.6Claude Sonnet 4.5 Turbo
LiveCodeBench78.984.75.8Grok 4 Turbo
IFEval91.491.10.3Claude Sonnet 4.5 Turbo
TruthfulQA87.788.81.1Grok 4 Turbo
HellaSwag93.992.51.4Claude Sonnet 4.5 Turbo
MMMU81.181.70.6Grok 4 Turbo
Arena Elo1461.71466.95.2Grok 4 Turbo

Price analysis

On a blended 3:1 input-to-output basis, Claude Sonnet 4.5 Turbo costs about $34.19 per million tokens and Grok 4 Turbo costs about $36.25. Claude Sonnet 4.5 Turbo is roughly 6% cheaper than Grok 4 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 1,000,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Claude Sonnet 4.5 Turbo wins 5, Grok 4 Turbo wins 7, and 0 are tied. On the index average, Grok 4 Turbo leads Claude Sonnet 4.5 Turbo by 0.8 points (86.7 versus 85.9).

The price picture favours Claude Sonnet 4.5 Turbo. The context picture is effectively a tie. 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 Grok 4 Turbo for quality-sensitive work and Claude Sonnet 4.5 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Claude Sonnet 4.5 Turbo if

  • Unit cost matters and you want the cheaper blended price.

Choose Grok 4 Turbo if

  • You want the higher average benchmark score in this index.

FAQ

Is Claude Sonnet 4.5 Turbo better than Grok 4 Turbo?

On the index average, Grok 4 Turbo leads Claude Sonnet 4.5 Turbo by 0.8 points (86.7 versus 85.9). The better choice depends on price, context and your task. Claude Sonnet 4.5 Turbo wins 5 benchmarks, Grok 4 Turbo wins 7.

Which is cheaper, Claude Sonnet 4.5 Turbo or Grok 4 Turbo?

Claude Sonnet 4.5 Turbo is cheaper on a blended 3:1 basis at about $34.19 per million tokens, versus $36.25 for Grok 4 Turbo.

Which has the larger context window?

Both models list a 1,000,000-token context window.

Are these models open weights?

Claude Sonnet 4.5 Turbo is proprietary; Grok 4 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Grok 4 Turbo for quality-sensitive work and Claude Sonnet 4.5 Turbo for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Related comparisons