DeepSeek-V2.5 vs Llama 3.2 11B Instruct
DeepSeek-V2.5 leads the LLM Stats Score 8.1 to -1.3. Llama 3.2 11B Instruct is 3.5x cheaper per token.
DeepSeek · Meta · Updated for 2026
Which is better?
DeepSeek-V2.5 leads the overall LLM Stats Score 8.1 to -1.3, ranking #280 overall.
In the 2 individual benchmarks reported for both models, DeepSeek-V2.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 11B Instruct is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.2 11B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V2.5
- overall performance matters — it scores 8.1 and ranks #280 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Llama 3.2 11B Instruct
- cost matters — it's about 3.5x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for DeepSeek-V2.5 · 11 for Llama 3.2 11B Instruct
DeepSeek-V2.5 outperforms in 2 benchmarks (MATH, MMLU), while Llama 3.2 11B Instruct is better at 0 benchmarks.
DeepSeek-V2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 2.8x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 5.6x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, DeepSeek-V2.5 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V2.5 has 225.4B more parameters than Llama 3.2 11B Instruct, making it 2126.4% larger.
Context Window
Maximum input and output token capacity
Llama 3.2 11B Instruct accepts 128,000 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Llama 3.2 11B Instruct can generate longer responses up to 128,000 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Llama 3.2 11B Instruct supports multimodal inputs, whereas DeepSeek-V2.5 does not.
Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V2.5
Llama 3.2 11B Instruct
License
Usage and distribution terms
DeepSeek-V2.5 is licensed under deepseek, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek-V2.5 was released on 2024-05-08, while Llama 3.2 11B Instruct was released on 2024-09-25.
Llama 3.2 11B Instruct is 5 months newer than DeepSeek-V2.5.
May 8, 2024
2.3 years ago
Sep 25, 2024
2.0 years ago
4mo newerKnowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while DeepSeek-V2.5's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.
—
Dec 2023
Provider Availability
DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
DeepSeek-V2.5
Llama 3.2 11B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V2.5 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V2.5 vs Llama 3.2 11B Instruct.