Head-to-head · frontier vs frontier

DeepSeek-V3.2 Instruct vs Grok 3 Reasoning: which model should you choose?

We compared DeepSeek-V3.2 Instruct and Grok 3 Reasoning on price, context window and 12 benchmarks. DeepSeek-V3.2 Instruct has the stronger average benchmark score; DeepSeek-V3.2 Instruct is cheaper on a blended 3:1 basis.

DeepSeek

DeepSeek-V3.2 Instruct

DeepSeek-V3.2 Instruct is a frontier model from DeepSeek. It offers a 128,000-token context window, costs $5.91 per million input tokens and $29.01 per million output tokens, and averages 83.7 across the index's benchmark suite.

Input
$5.91 / 1M
Output
$29.01 / 1M
Context
128,000
Avg score
83.7
Open weights
Yes
Full DeepSeek-V3.2 Instruct page
xAI

Grok 3 Reasoning

Grok 3 Reasoning is a frontier model from xAI. It offers a 200,000-token context window, costs $16.07 per million input tokens and $74.65 per million output tokens, and averages 82.9 across the index's benchmark suite.

Input
$16.07 / 1M
Output
$74.65 / 1M
Context
200,000
Avg score
82.9
Open weights
No
Full Grok 3 Reasoning page

Specification comparison

SpecDeepSeek-V3.2 InstructGrok 3 ReasoningEdge
Input price / 1M$5.91$16.07A
Output price / 1M$29.01$74.65A
Context window128,000200,000B
Max output4,09616,384B
Average score83.782.9A
Arena Elo1454.41448.0A
Open weightsYesNoA

Benchmark comparison

DeepSeek-V3.2 Instruct wins 9, Grok 3 Reasoning wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkDeepSeek-V3.2 InstructGrok 3 ReasoningGapWinner
MMLU-Pro84.684.50.1DeepSeek-V3.2 Instruct
GPQA Diamond80.977.33.6DeepSeek-V3.2 Instruct
SWE-bench Verified75.274.01.2DeepSeek-V3.2 Instruct
HumanEval90.288.51.7DeepSeek-V3.2 Instruct
MATH-50086.390.23.9Grok 3 Reasoning
AIME 202583.978.25.7DeepSeek-V3.2 Instruct
LiveCodeBench75.276.51.3Grok 3 Reasoning
IFEval91.390.21.1DeepSeek-V3.2 Instruct
TruthfulQA84.383.40.9DeepSeek-V3.2 Instruct
HellaSwag88.889.70.9Grok 3 Reasoning
MMMU80.479.41.0DeepSeek-V3.2 Instruct
Arena Elo1454.41448.06.4DeepSeek-V3.2 Instruct

Price analysis

On a blended 3:1 input-to-output basis, DeepSeek-V3.2 Instruct costs about $11.69 per million tokens and Grok 3 Reasoning costs about $30.72. DeepSeek-V3.2 Instruct is roughly 62% cheaper than Grok 3 Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Grok 3 Reasoning has the larger context window at 200,000 tokens, compared with 128,000 for DeepSeek-V3.2 Instruct. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, DeepSeek-V3.2 Instruct wins 9, Grok 3 Reasoning wins 3, and 0 are tied. On the index average, DeepSeek-V3.2 Instruct leads Grok 3 Reasoning by 0.8 points (83.7 versus 82.9).

The price picture favours DeepSeek-V3.2 Instruct. The context picture favours Grok 3 Reasoning. 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-V3.2 Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose DeepSeek-V3.2 Instruct if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need open weights for self-hosting or fine-tuning.

Choose Grok 3 Reasoning if

  • You need the larger 200,000-token context window.
  • You need the larger 16,384-token output limit.

FAQ

Is DeepSeek-V3.2 Instruct better than Grok 3 Reasoning?

On the index average, DeepSeek-V3.2 Instruct leads Grok 3 Reasoning by 0.8 points (83.7 versus 82.9). The better choice depends on price, context and your task. DeepSeek-V3.2 Instruct wins 9 benchmarks, Grok 3 Reasoning wins 3.

Which is cheaper, DeepSeek-V3.2 Instruct or Grok 3 Reasoning?

DeepSeek-V3.2 Instruct is cheaper on a blended 3:1 basis at about $11.69 per million tokens, versus $30.72 for Grok 3 Reasoning.

Which has the larger context window?

Grok 3 Reasoning has the larger context window at 200,000 tokens. DeepSeek-V3.2 Instruct has 128,000 tokens.

Are these models open weights?

DeepSeek-V3.2 Instruct is open weights; Grok 3 Reasoning is proprietary.

Which should I choose for production?

If you need a single default, start with DeepSeek-V3.2 Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Related comparisons