Looking for an honest DeepSeek R2 vs Meta Llama 3.1 405B comparison in 2026? We scored both ai language models on the same six-dimension framework — performance, battery, display, camera, design and value — using identical methodology, so the numbers below are directly comparable. In our overall scoring the DeepSeek R2 comes out ahead 78/100 to 62/100 — a 16-point gap. The widest gap is in design and build, where the DeepSeek R2 pulls noticeably ahead.
DeepSeek
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DeepSeek R2 clearly outperforms the Meta Llama 3.1 405B in the ai language models category, especially in design, scoring 78 vs 62. If you want the better overall ai language models, DeepSeek R2 is the recommended choice.
Scores are relative within the ai language modelscategory. Percentages show each dimension's weight in the overall score. A difference of less than 0.5 points is considered a tie.
✓ Pros
✗ Cons
Lower cost = better value. Free = open-source self-hosted.
| Metric | DeepSeek R2 | 3.1 405B |
|---|---|---|
| Input (Prompt) | $0.55/1M | ✓Free/1M |
| Output (Completion) | $2.19/1M | ✓Free/1M |
| Open Source | ✓ Free | ✓ Free |
Context Window (tokens)
| Metric | DeepSeek R2 | 3.1 405B |
|---|---|---|
| Max Output | ✓8,192 tok | 4,096 tok |
| Speed | 30 tok/s | 30 tok/s |
| Time to First Token | 1.5s | 1.5s |
| Languages | ✓40+ | 8+ |
Higher is better. Industry-standard AI evaluation benchmarks.
DeepSeek R2
3.1 405B
DeepSeek R2
3.1 405B
DeepSeek R2
3.1 405B
DeepSeek R2
3.1 405B
DeepSeek R2
3.1 405B
| Feature | DeepSeek R2 | 3.1 405B |
|---|---|---|
| Reasoning / Chain-of-Thought | ✓ | ✕ |
| Vision (Image Input) | ✕ | ✕ |
| Audio Input | ✕ | ✕ |
| Video Input | ✕ | ✕ |
| Image/Audio Output | ✕ | ✕ |
| Function Calling / Tools | ✓ | ✓ |
| JSON Mode | ✓ | ✓ |
| Real-time Web Access | ✕ | ✕ |
| Fine-tuning Support | ✕ | ✓ |
| Batch API | ✕ | ✓ |
| Streaming | ✓ | ✓ |
| Open Source | ✓ | ✓ |
| Field | DeepSeek R2 | 3.1 405B |
|---|---|---|
| Provider | DeepSeek | Meta |
| Parameters | 671B | 405B |
| Knowledge Cutoff | 2025-06 | 2023-12 |
| License | Open | Llama 3.1 Community |
| Best For | reasoningmathsciencecodingcost efficient | open sourceself hostingfine tuningenterprise privacy |
Buy DeepSeek R2 if…
Buy the DeepSeek R2 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
Buy Meta Llama 3.1 405B if…
The Meta Llama 3.1 405B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
DeepSeek R2 clearly outperforms the Meta Llama 3.1 405B in the ai language models category, especially in design, scoring 78 vs 62. If you want the better overall ai language models, DeepSeek R2 is the recommended choice.
Yes, DeepSeek R2 scores higher overall (75 vs 75).
Check the latest prices using the buy links above.
Buy the DeepSeek R2 if you want the best performance in this comparison. It scores higher overall and is the recommended choice for most buyers.
The Meta Llama 3.1 405B is worth considering if you prefer its specific design, ecosystem, or brand — though it scores lower overall in our comparison.
Reviewed by VersusMatrix Editorial Team
Last updated: April 28, 2026
Methodology: AI-powered analysis of technical specifications from manufacturer data. Scores are calculated by comparing products across multiple dimensions and normalized relative to the full category database. Our editorial process is independent and not influenced by affiliate partnerships.