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DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3 0324

DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 0324 are closely matched at 8.9 and 13.7 on the LLM Stats Score.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 0324 are closely matched on the overall LLM Stats Score at 8.9 and 13.7.

In the 4 individual benchmarks reported for both models, DeepSeek-V3 0324 wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose DeepSeek-V3 0324

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Mar 2025

At a glance

The differences that matter most.

Core performance indexes
8.9
#257
13.7
#223
9.2
#247
13.9
#216
2.1
#210
4.0
#197
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
— / M
$0.28 / M
Output price
— / M
$1.14 / M
Context window
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 7B
DeepSeek-V3 0324
14.2#208
16.0#198
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 5 for DeepSeek-V3 0324

4 shared

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (AIME 2024), while DeepSeek-V3 0324 is better at 3 benchmarks (GPQA, LiveCodeBench, MATH-500).

DeepSeek-V3 0324 shows notably better performance in the majority of benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

663.4B diff

DeepSeek-V3 0324 has 663.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 8705.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
DeepSeek
DeepSeek-V3 0324
671.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
671.0B
DeepSeek-V3 0324

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Sun Aug 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while DeepSeek-V3 0324 was released on 2025-03-25.

DeepSeek-V3 0324 is 2 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

DeepSeek-V3 0324

Mar 25, 2025

1.4 years ago

2mo 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 0324 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
DeepSeek-V3 0324
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs DeepSeek-V3 0324.

Which is better, DeepSeek R1 Distill Qwen 7B or DeepSeek-V3 0324?

DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 0324 are closely matched on the LLM Stats Score at 8.9 and 13.7. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and DeepSeek-V3 0324 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 7B compare to DeepSeek-V3 0324 in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and DeepSeek-V3 0324?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and DeepSeek-V3 0324 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 Distill Qwen 7B and DeepSeek-V3 0324?

Key differences include LLM Stats Score (8.9 vs 13.7), licensing (MIT vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.