Model Comparison

DeepSeek-V2.5 vs GPT OSS 120BWhich is better in 2026?

GPT OSS 120B significantly outperforms across most benchmarks. DeepSeek-V2.5 is 1.0x cheaper per token.

Verdict: DeepSeek-V2.5 vs GPT OSS 120B — which is better?

DeepSeek-V2.5 (by DeepSeek) and GPT OSS 120B (by OpenAI) 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-V2.5 outperforms in 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (MMLU). GPT OSS 120B significantly outperforms across most benchmarks.

GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V2.5 if…

  • you want predictable pricing at $0.14/M input and $0.28/M output

Choose GPT OSS 120B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V2.5 outperforms in 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (MMLU).

GPT OSS 120B significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.6x more expensive than GPT OSS 120B ($0.09/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.6x cheaper than GPT OSS 120B ($0.45/1M tokens).

In conclusion, GPT OSS 120B is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
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

119.2B diff

DeepSeek-V2.5 has 119.2B more parameters than GPT OSS 120B, making it 102.1% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
OpenAI
GPT OSS 120B
116.8Bparameters
236.0B
DeepSeek-V2.5
116.8B
GPT OSS 120B

Context Window

Maximum input and output token capacity

GPT OSS 120B accepts 131,072 input tokens compared to DeepSeek-V2.5's 8,192 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
OpenAI
GPT OSS 120B
Input131,072 tokens
Output131,072 tokens
Mon Jun 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, 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-V2.5

deepseek

Open weights

GPT OSS 120B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while GPT OSS 120B was released on 2025-08-05.

GPT OSS 120B is 15 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

GPT OSS 120B

Aug 5, 2025

10 months ago

1.2yr 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-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

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

Less expensive output tokens
Larger context window (131,072 tokens)
Less expensive input tokens
Higher MMLU score (90.0% vs 80.4%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
OpenAI
GPT OSS 120B

FAQ

Common questions about DeepSeek-V2.5 vs GPT OSS 120B.

Which is better, DeepSeek-V2.5 or GPT OSS 120B?

GPT OSS 120B significantly outperforms across most benchmarks. DeepSeek-V2.5 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.

How does DeepSeek-V2.5 compare to GPT OSS 120B in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. GPT OSS 120B scores MMLU: 90.0%, CodeForces: 82.1%, GPQA: 80.1%, TAU-bench Retail: 67.8%, HealthBench: 57.6%.

Is DeepSeek-V2.5 cheaper than GPT OSS 120B?

GPT OSS 120B is 1.6x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. GPT OSS 120B costs $0.09/M input and $0.45/M output via deepinfra.

What are the context window sizes for DeepSeek-V2.5 and GPT OSS 120B?

DeepSeek-V2.5 supports 8K tokens and GPT OSS 120B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and GPT OSS 120B?

Key differences include context window (8K vs 131K), input pricing ($0.14 vs $0.09/M), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and GPT OSS 120B?

DeepSeek-V2.5 is developed by DeepSeek and GPT OSS 120B is developed by OpenAI.