Model Comparison

DeepSeek-V3.1 vs GPT OSS 120B

GPT OSS 120B shows notably better performance in the majority of benchmarks. GPT OSS 120B is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.1 outperforms in 1 benchmarks (Humanity's Last Exam), while GPT OSS 120B is better at 2 benchmarks (CodeForces, GPQA).

GPT OSS 120B shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT OSS 120B costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 3.0x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 2.2x more expensive than GPT OSS 120B ($0.45/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than GPT OSS 120B.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
OpenAI
GPT OSS 120B
Input tokens$0.09
Output tokens$0.45
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

554.2B diff

DeepSeek-V3.1 has 554.2B more parameters than GPT OSS 120B, making it 474.5% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
671.0B
DeepSeek-V3.1
116.8B
GPT OSS 120B

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to GPT OSS 120B's 131,072 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while GPT OSS 120B is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while GPT OSS 120B uses Apache 2.0.

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

DeepSeek-V3.1

MIT

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 7 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

GPT OSS 120B

Aug 5, 2025

8 months ago

6mo 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-V3.1 is available from DeepInfra, Novita. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

GPT OSS 120B

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.45/1M
novita logo
Novita
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
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher Humanity's Last Exam score (15.9% vs 14.9%)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher CodeForces score (82.1% vs 69.7%)
Higher GPQA score (80.1% vs 74.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
OpenAI
GPT OSS 120B

FAQ

Common questions about DeepSeek-V3.1 vs GPT OSS 120B

GPT OSS 120B shows notably better performance in the majority of benchmarks. DeepSeek-V3.1 is made by DeepSeek and GPT OSS 120B is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.
GPT OSS 120B is 3.0x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra.
DeepSeek-V3.1 supports 164K tokens and GPT OSS 120B 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 ($0.27 vs $0.09/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3.1 is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.