DeepSeek R1 (0528) vs DeepSeek V3.2

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

DeepSeek R1 (0528)

DeepSeek · May 2025

67.8

The open reasoning model that started it all — RL-trained chain-of-thought, MIT licensed, and a research landmark.

DeepSeek V3.2

DeepSeek · Sep 2025

68.4

The sparse-attention release that halved DeepSeek's already-lowest-in-class prices while keeping GPT-class quality.

The verdict

DeepSeek V3.2 wins 3 of the 4 benchmarks these models share, against 1 for DeepSeek R1 (0528). On price the gap is dramatic: DeepSeek V3.2 works out roughly 3.0x cheaper per blended million tokens.

Benchmark head-to-head 13

GPQA Diamond
81%79.9%
DeepSeek R1 (0528)DeepSeek V3.2
AIME 2025
87.5%89.3%
DeepSeek R1 (0528)DeepSeek V3.2
HLE
17.7%~19.8%
DeepSeek R1 (0528)DeepSeek V3.2
MMLU-Pro
84.8%85%
DeepSeek R1 (0528)DeepSeek V3.2

Specs & pricing

DeepSeek R1 (0528)DeepSeek V3.2
modhub Index67.868.4
Input price / 1M$0.55$0.28
Output price / 1M$2.19$0.42
Context window128K128K
Max output64K64K
Open weightsyes (MIT)yes (MIT)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffMar 2025Jul 2025
ReleasedMay 2025Sep 2025
Example monthly cost*$8.79$3.43

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, DeepSeek R1 (0528) or DeepSeek V3.2?
DeepSeek V3.2 wins 3 of the 4 benchmarks these models share, against 1 for DeepSeek R1 (0528). On price the gap is dramatic: DeepSeek V3.2 works out roughly 3.0x cheaper per blended million tokens.
Which is cheaper, DeepSeek R1 (0528) or DeepSeek V3.2?
DeepSeek R1 (0528) costs $0.55/$2.19 per million input/output tokens, while DeepSeek V3.2 costs $0.28/$0.42. For a typical workload of 10M input and 1.5M output tokens per month, that's $8.79 versus $3.43.
Which model is better for coding, DeepSeek R1 (0528) or DeepSeek V3.2?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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