Model Comparison

DeepSeek-R1-0528 vs DeepSeek-V3.2-ExpWhich is better in 2026?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 3.0x cheaper per token.

Verdict: DeepSeek-R1-0528 vs DeepSeek-V3.2-Exp — which is better?

DeepSeek-R1-0528 (by DeepSeek) and DeepSeek-V3.2-Exp (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-R1-0528 outperforms in 1 benchmarks (GPQA), while DeepSeek-V3.2-Exp is better at 12 benchmarks (Aider-Polyglot, AIME 2025, BrowseComp, BrowseComp-zh, CodeForces, HMMT 2025, Humanity's Last Exam, LiveCodeBench, SimpleQA, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench). DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2-Exp is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.2-Exp also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-R1-0528 if…

  • you want predictable pricing at $0.50/M input and $2.15/M output

Choose DeepSeek-V3.2-Exp if…

  • you want the strongest raw capability — it leads on 13 of 14 shared benchmarks
  • cost matters — it's about 3.0x cheaper per token
  • you process long inputs — it offers a 163,840 token context window
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

14 benchmarks

DeepSeek-R1-0528 outperforms in 1 benchmarks (GPQA), while DeepSeek-V3.2-Exp is better at 12 benchmarks (Aider-Polyglot, AIME 2025, BrowseComp, BrowseComp-zh, CodeForces, HMMT 2025, Humanity's Last Exam, LiveCodeBench, SimpleQA, SWE-bench Multilingual, SWE-Bench Verified, Terminal-Bench).

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-R1-0528 ($0.50/1M tokens) is 1.9x more expensive than DeepSeek-V3.2-Exp ($0.27/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 5.2x more expensive than DeepSeek-V3.2-Exp ($0.41/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than DeepSeek-V3.2-Exp.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Jul 15 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

14.0B diff

DeepSeek-V3.2-Exp has 14.0B more parameters than DeepSeek-R1-0528, making it 2.1% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
671.0B
DeepSeek-R1-0528
685.0B
DeepSeek-V3.2-Exp

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to DeepSeek-R1-0528's 131,072 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Wed Jul 15 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek-R1-0528

MIT

Open weights

DeepSeek-V3.2-Exp

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek-V3.2-Exp was released on 2025-09-29.

DeepSeek-V3.2-Exp is 4 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.1 years ago

DeepSeek-V3.2-Exp

Sep 29, 2025

9 months ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. DeepSeek-V3.2-Exp is available from Novita.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Higher GPQA score (81.0% vs 79.9%)
DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Higher Aider-Polyglot score (74.5% vs 71.6%)
Higher AIME 2025 score (89.3% vs 87.5%)
Higher BrowseComp score (40.1% vs 8.9%)
Higher BrowseComp-zh score (47.9% vs 35.7%)
Higher CodeForces score (70.7% vs 64.3%)
Higher HMMT 2025 score (83.6% vs 79.4%)
Higher Humanity's Last Exam score (19.8% vs 17.7%)
Higher LiveCodeBench score (74.1% vs 73.3%)
Higher SimpleQA score (97.1% vs 92.3%)
Higher SWE-bench Multilingual score (57.9% vs 30.5%)
Higher SWE-Bench Verified score (67.8% vs 44.6%)
Higher Terminal-Bench score (37.7% vs 5.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-R1-0528 and DeepSeek-V3.2-Exp side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
DeepSeek-V3.2-Exp
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
DeepSeek
DeepSeek-V3.2-Exp

FAQ

Common questions about DeepSeek-R1-0528 vs DeepSeek-V3.2-Exp.

Which is better, DeepSeek-R1-0528 or DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and DeepSeek-V3.2-Exp is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to DeepSeek-V3.2-Exp in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%.

Is DeepSeek-R1-0528 cheaper than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is 1.9x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita.

What are the context window sizes for DeepSeek-R1-0528 and DeepSeek-V3.2-Exp?

DeepSeek-R1-0528 supports 131K tokens and DeepSeek-V3.2-Exp supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and DeepSeek-V3.2-Exp?

Key differences include context window (131K vs 164K), input pricing ($0.50 vs $0.27/M). See the full comparison above for benchmark-by-benchmark results.

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