Model Comparison

DeepSeek-V3 0324 vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks. GPT OSS 20B is 5.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while GPT OSS 20B is better at 1 benchmark (GPQA).

GPT OSS 20B significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 20B costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 5.6x more expensive than GPT OSS 20B ($0.05/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 5.7x more expensive than GPT OSS 20B ($0.20/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than GPT OSS 20B.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
OpenAI
GPT OSS 20B
Input tokens$0.05
Output tokens$0.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

650.1B diff

DeepSeek-V3 0324 has 650.1B more parameters than GPT OSS 20B, making it 3110.5% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
671.0B
DeepSeek-V3 0324
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to GPT OSS 20B's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GPT OSS 20B is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while GPT OSS 20B uses Apache 2.0.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 4 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

GPT OSS 20B

Aug 5, 2025

8 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-V3 0324 is available from Novita. GPT OSS 20B is available from Novita, Fireworks, Groq, OpenAI.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

GPT OSS 20B

novita logo
Novita
Input Price:Input: $0.05/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (71.5% vs 68.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
OpenAI
GPT OSS 20B

FAQ

Common questions about DeepSeek-V3 0324 vs GPT OSS 20B

GPT OSS 20B significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and GPT OSS 20B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.
GPT OSS 20B is 5.6x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. GPT OSS 20B costs $0.05/M input and $0.20/M output via novita.
DeepSeek-V3 0324 supports 164K tokens and GPT OSS 20B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 131K), input pricing ($0.28 vs $0.05/M), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and GPT OSS 20B is developed by OpenAI.