DeepSeek-R1 Instruct vs Grok 3 Turbo: which model should you choose?
We compared DeepSeek-R1 Instruct and Grok 3 Turbo on price, context window and 12 benchmarks. DeepSeek-R1 Instruct and Grok 3 Turbo are effectively tied on the index average; DeepSeek-R1 Instruct is cheaper on a blended 3:1 basis.
DeepSeek-R1 Instruct
DeepSeek-R1 Instruct is a frontier model from DeepSeek. It offers a 1,000,000-token context window, costs $5.90 per million input tokens and $26.49 per million output tokens, and averages 83.1 across the index's benchmark suite.
- Input
- $5.90 / 1M
- Output
- $26.49 / 1M
- Context
- 1,000,000
- Avg score
- 83.1
- Open weights
- Yes
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
Specification comparison
| Spec | DeepSeek-R1 Instruct | Grok 3 Turbo | Edge |
|---|---|---|---|
| Input price / 1M | $5.90 | $15.97 | A |
| Output price / 1M | $26.49 | $70.13 | A |
| Context window | 1,000,000 | 128,000 | A |
| Max output | 8,192 | 65,536 | B |
| Average score | 83.1 | 83.1 | Tie |
| Arena Elo | 1447.7 | 1438.4 | A |
| Open weights | Yes | No | A |
Benchmark comparison
DeepSeek-R1 Instruct wins 9, Grok 3 Turbo wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | DeepSeek-R1 Instruct | Grok 3 Turbo | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.9 | 83.7 | 1.2 | DeepSeek-R1 Instruct |
| GPQA Diamond | 81.4 | 79.1 | 2.3 | DeepSeek-R1 Instruct |
| SWE-bench Verified | 72.4 | 71.4 | 1.0 | DeepSeek-R1 Instruct |
| HumanEval | 88.0 | 86.8 | 1.2 | DeepSeek-R1 Instruct |
| MATH-500 | 86.2 | 85.6 | 0.6 | DeepSeek-R1 Instruct |
| AIME 2025 | 77.6 | 83.1 | 5.5 | Grok 3 Turbo |
| LiveCodeBench | 79.6 | 76.4 | 3.2 | DeepSeek-R1 Instruct |
| IFEval | 88.9 | 90.7 | 1.8 | Grok 3 Turbo |
| TruthfulQA | 82.2 | 86.0 | 3.8 | Grok 3 Turbo |
| HellaSwag | 91.1 | 90.2 | 0.9 | DeepSeek-R1 Instruct |
| MMMU | 81.5 | 81.3 | 0.2 | DeepSeek-R1 Instruct |
| Arena Elo | 1447.7 | 1438.4 | 9.3 | DeepSeek-R1 Instruct |
Price analysis
On a blended 3:1 input-to-output basis, DeepSeek-R1 Instruct costs about $11.05 per million tokens and Grok 3 Turbo costs about $29.51. DeepSeek-R1 Instruct is roughly 63% cheaper than Grok 3 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
DeepSeek-R1 Instruct has the larger context window at 1,000,000 tokens, compared with 128,000 for Grok 3 Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, DeepSeek-R1 Instruct wins 9, Grok 3 Turbo wins 3, and 0 are tied. The two models are effectively tied on the index average at 83.1.
The price picture favours DeepSeek-R1 Instruct. The context picture favours DeepSeek-R1 Instruct. 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 DeepSeek-R1 Instruct; it is cheaper on a blended basis and has the larger context window. Test it on your own traffic before committing.
Choose DeepSeek-R1 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need open weights for self-hosting or fine-tuning.
Choose Grok 3 Turbo if
- You need the larger 65,536-token output limit.
FAQ
Is DeepSeek-R1 Instruct better than Grok 3 Turbo?
The two models are effectively tied on the index average at 83.1. The better choice depends on price, context and your task. DeepSeek-R1 Instruct wins 9 benchmarks, Grok 3 Turbo wins 3.
Which is cheaper, DeepSeek-R1 Instruct or Grok 3 Turbo?
DeepSeek-R1 Instruct is cheaper on a blended 3:1 basis at about $11.05 per million tokens, versus $29.51 for Grok 3 Turbo.
Which has the larger context window?
DeepSeek-R1 Instruct has the larger context window at 1,000,000 tokens. Grok 3 Turbo has 128,000 tokens.
Are these models open weights?
DeepSeek-R1 Instruct is open weights; Grok 3 Turbo is proprietary.
Which should I choose for production?
If you need a single default, start with DeepSeek-R1 Instruct; it is cheaper on a blended basis and has the larger context window. Test it on your own traffic before committing.