Head-to-head · multimodal vs multimodal

DeepSeek-R1 vs Grok 3 Turbo: which model should you choose?

We compared DeepSeek-R1 and Grok 3 Turbo on price, context window and 12 benchmarks. Grok 3 Turbo has the stronger average benchmark score; DeepSeek-R1 is cheaper on a blended 3:1 basis.

DeepSeek

DeepSeek-R1

DeepSeek-R1 is a multimodal model from DeepSeek. It offers a 128,000-token context window, costs $5.83 per million input tokens and $25.23 per million output tokens, and averages 82.8 across the index's benchmark suite.

Input
$5.83 / 1M
Output
$25.23 / 1M
Context
128,000
Avg score
82.8
Open weights
Yes
Full DeepSeek-R1 page
xAI

Grok 3 Turbo

Grok 3 Turbo is a multimodal model from xAI. It offers a 128,000-token context window, costs $15.97 per million input tokens and $70.13 per million output tokens, and averages 83.1 across the index's benchmark suite.

Input
$15.97 / 1M
Output
$70.13 / 1M
Context
128,000
Avg score
83.1
Open weights
No
Full Grok 3 Turbo page

Specification comparison

SpecDeepSeek-R1Grok 3 TurboEdge
Input price / 1M$5.83$15.97A
Output price / 1M$25.23$70.13A
Context window128,000128,000Tie
Max output4,09665,536B
Average score82.883.1B
Arena Elo1454.11438.4A
Open weightsYesNoA

Benchmark comparison

DeepSeek-R1 wins 6, Grok 3 Turbo wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkDeepSeek-R1Grok 3 TurboGapWinner
MMLU-Pro83.883.70.1DeepSeek-R1
GPQA Diamond77.879.11.3Grok 3 Turbo
SWE-bench Verified72.271.40.8DeepSeek-R1
HumanEval86.486.80.4Grok 3 Turbo
MATH-50089.185.63.5DeepSeek-R1
AIME 202581.183.12.0Grok 3 Turbo
LiveCodeBench77.476.41.0DeepSeek-R1
IFEval91.090.70.3DeepSeek-R1
TruthfulQA82.986.03.1Grok 3 Turbo
HellaSwag89.890.20.4Grok 3 Turbo
MMMU79.581.31.8Grok 3 Turbo
Arena Elo1454.11438.415.7DeepSeek-R1

Price analysis

On a blended 3:1 input-to-output basis, DeepSeek-R1 costs about $10.68 per million tokens and Grok 3 Turbo costs about $29.51. DeepSeek-R1 is roughly 64% cheaper than Grok 3 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, DeepSeek-R1 wins 6, Grok 3 Turbo wins 6, and 0 are tied. On the index average, Grok 3 Turbo leads DeepSeek-R1 by 0.3 points (83.1 versus 82.8).

The price picture favours DeepSeek-R1. 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 3 Turbo for quality-sensitive work and DeepSeek-R1 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose DeepSeek-R1 if

  • Unit cost matters and you want the cheaper blended price.
  • You need open weights for self-hosting or fine-tuning.

Choose Grok 3 Turbo if

  • You want the higher average benchmark score in this index.
  • You need the larger 65,536-token output limit.

FAQ

Is DeepSeek-R1 better than Grok 3 Turbo?

On the index average, Grok 3 Turbo leads DeepSeek-R1 by 0.3 points (83.1 versus 82.8). The better choice depends on price, context and your task. DeepSeek-R1 wins 6 benchmarks, Grok 3 Turbo wins 6.

Which is cheaper, DeepSeek-R1 or Grok 3 Turbo?

DeepSeek-R1 is cheaper on a blended 3:1 basis at about $10.68 per million tokens, versus $29.51 for Grok 3 Turbo.

Which has the larger context window?

Both models list a 128,000-token context window.

Are these models open weights?

DeepSeek-R1 is open weights; Grok 3 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with Grok 3 Turbo for quality-sensitive work and DeepSeek-R1 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

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