Model Comparison

DeepSeek-V3 0324 vs GPT OSS 120B High

Both models are evenly matched across the benchmarks. GPT OSS 120B High is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 0324 outperforms in 1 benchmarks (MMLU-Pro), while GPT OSS 120B High is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Tue Apr 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B High costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 2.8x more expensive than GPT OSS 120B High ($0.10/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.3x more expensive than GPT OSS 120B High ($0.50/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than GPT OSS 120B High.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

554.2B diff

DeepSeek-V3 0324 has 554.2B more parameters than GPT OSS 120B High, making it 474.5% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
OpenAI
GPT OSS 120B High
116.8Bparameters
671.0B
DeepSeek-V3 0324
116.8B
GPT OSS 120B High

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to GPT OSS 120B High's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GPT OSS 120B High is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while GPT OSS 120B High 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 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while GPT OSS 120B High was released on 2025-08-05.

GPT OSS 120B High is 4 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

GPT OSS 120B High

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 120B High is available from OpenAI.

DeepSeek-V3 0324

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

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher MMLU-Pro score (81.2% vs 80.7%)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (80.9% vs 68.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
OpenAI
GPT OSS 120B High

FAQ

Common questions about DeepSeek-V3 0324 vs GPT OSS 120B High

Both models are evenly matched across the benchmarks. DeepSeek-V3 0324 is made by DeepSeek and GPT OSS 120B High 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 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.
GPT OSS 120B High is 2.8x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. GPT OSS 120B High costs $0.10/M input and $0.50/M output via openai.
DeepSeek-V3 0324 supports 164K tokens and GPT OSS 120B High 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 $0.10/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 120B High is developed by OpenAI.